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Journal articles on the topic 'Digital aerial photography'
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Ruzgienė, Birutė. "REQUIREMENTS FOR AERIAL PHOTOGRAPHY." Geodesy and cartography 30, no. 3 (August 3, 2012): 75–79. http://dx.doi.org/10.3846/13921541.2004.9636646.
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The photogrammetric mapping process at the first stage requires planning of aerial photography. Aerial photographs quality depends on the successfull photographic mission specified by requirements that meet not only Lithuanian needs, but also the requirements of the European Union. For such a purpose the detailed specifications for aerial photographic mission for mapping urban territories at a large scale are investigated. The aerial photography parameters and requirements for flight planning, photographic strips, overlaps, aerial camera and film are outlined. The scale of photography, flying height and method for photogrammetric mapping is foreseen as well as tolerances of photographs tilt and swings round (yaw) are presented. Digital camera based on CCD sensors and on-board GPS is greatly appreciated in present-day technologies undertaking aerial mission.
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Pisetskaya, Olga, Yanina Isayeva, and Maksim Goutsaki. "Application of Unmanned Flying Vehicle for Obtaining Digital Orthofotomaps." Baltic Surveying 11 (November 20, 2019): 60–69. http://dx.doi.org/10.22616/j.balticsurveying.2019.018.
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Nowadays, surveys using unmanned aerial vehicles is becoming popular. The resulting orthophotomap is the final product for creating digital plans and cardboard. The objectives of the study are to study the possibilities of obtaining orthophotomaps from survey materials using unmanned aerial vehicles based on the results of the experiment. The article describes various types of aerial photography. Some types of unmanned flying vehicles to conduct aerial photography for the purpose of monitoring, engineering surveys, inventory of agricultural land, and crop forecasts are considered. A description of aerial photography surveying is given on the example of the city of Dzerzhinsk, Minsk Region, which is performed taking into account the unmanned flying vehicles of GeoScan 201 and the Republican agricultural aero-geodesic unitary enterprise BelPSHAGI. A description of the GeoScan Planner software and basic pre-flight preparation is given. The stages of the preparatory work before the aerial photography, the creation of the planning and high-altitude geodetic justification, the implementation of aerial photography procedures, the steps of the aerial photograph anchorage procedure are considered. Agisoft Photoscan, which allows to get clouds of points, surfaces, 3D models and orthophotomaps using digital raster images are presented. The map of heights (DEM) of the terrain and the orthophotomap was made on the basis of a dense points cloud. According to the results of the research, a conclusion was made on the possibility of using aerial photography materials obtained using unmanned flying vehicles to get orthophotomaps of the required accuracy.
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Kalynych, Ivan, Mariya Nychvyd, Ivan Prodanets, Nataliya Kablak, and Yaroslav Vash. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 95,2022, no. 95 (June 28, 2022): 77–93. http://dx.doi.org/10.23939/istcgcap2022.95.077.
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The aim of this work. This article is devoted to the study of geodynamic processes in the Tysza River basin within the Transcarpathian region with an analysis of geodetic observations obtained over the past decade. Method. Karst monitoring began with the identification of the most dangerous areas of the earth's surface that are subject to vertical displacements. After the detection of the most dangerous areas the local geodetic monitoring was carried out at facilities within the urban settlement to prevent possible accidents: Solotvyno, Dilove and Bila Tserkva. A collection of archival aerial photography was also used to develop a methodology for identifying changes in landscapes and landforms under the influence of geodynamic processes. Results. UAVs were used to remove karsts. On the basis of digital aerial photography data were created: orthophotos and digital terrain models. Digital aerial photography was carried out in accordance with the requirements of regulatory documents. To determine the dynamics of landslides and karst the digital aerial photography must be repeated several times at certain intervals. Aerial photography work was carried out in two stages in 2020 and 2021 Contour points were selected for identification marks. They are recognized on aerial photography and the terrain with an accuracy of at least 0.1 mm on the scale of the created plan. Mathematical processing of geodetic GPS measurements was performed using Trimble Geomatics Office software. After photogrammetric processing, the quality control of the obtained results was performed and digital surface models using DEM and TIN methods. Orthophotomaps on a scale of 1:1000 were made from raster images of aerial photographs, taking into account the created digital terrain model. There is a need for monitoring work to update information on the state of modern karst formations and areas with exogenous processes in Solotvyno and Bila Tserkva, Tyachiv district and the village Dilove, Rakhiv district, Transcarpathian region. The technology of topographic and geodetic works with the use of UAVs and GPS measurements in mountainous areas has been developed and tested. The results of aerial photography were used to visualize the study objects and to convey information regarding the deformation processes to local governments. For processes of natural or man-made nature (displacement, landslides, karst) requires the development of individual approaches to the use of UAVs. With the mass use of UAV images, a data bank is formed, which cannot be obtained by other methods. The study made it possible to create the method of complex determination of movements in exogenous and technogenic areas in mountainous areas with the use of the latest technologies. It allows quick establishing a plan-altitude basis of the required accuracy in the reference coordinate system in solving a number of applied geodesy problems using satellite technologies and UAVs for observations by objects.
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Chetverikov, Borys, Lyubov Babiy, Zoriana Kuzyk, Iryna Zayats, and Mykhailo Protsyk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 96,2022, no. 96 (December 2022): 14–23. http://dx.doi.org/10.23939/istcgcap2022.96.014.
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The purpose of the work is to investigate the digital elevation models of the mass grave of 1944, built on the basis of aerial and cartographic data of different times. The implementation of the task involves the construction of digital elevation models (DEM) on the territory of the Jewish mass grave in the city of Vynnyky and Italian prisoners of war near the city. On the territory of the Jewish mass grave in the city of Vynnyky, a DEM was created based on a stereo pair of archival aerial images obtained in 1944 and on the basis of aerial photography from a UAV conducted in 2015. Since archival aerial photographs did not contain orientation elements, they were geometrically transformed using the ErdasImagine software. After that, the stereo pair was processed in the program Digitals, where relief elements on the territory of the mass grave were obtained. Aerial photography from a UAV on the territory of the city of Vynnyky provided the data which was processed in the Agisoft PhotoScan software. It allowed us to create an orthophoto plan and an elevation map of the city territory. Elements of relief on the territory of the mass grave of 1944 and 2015 were imported into the Surfer software environment, where 3D digital elevation models were built. Since the territory of the grave did not have significant differences in height, and the relief was quite gentle, the method of constructing the DEM of the Natural Neighbor was chosen, which gave a positive result. Analyzing the digital elevation model and the vector map for 1944, the border of the mass grave is clearly distinguished, since the height difference between its edges and the rest of the territory is from 20 to 36 cm, depending on the section of the border. The analysis of the digital elevation models and the vector map for 2015 of the territory of the mass grave determined from the aerial image of 1944 showed that the characteristic height differences on the former border of the grave are observed only in the left-right corner of the grave and on a separate section of the right border. Height difference indicators range from 15 to 20 cm. It should be noted that height differences are also observed in the rest of the territory belonging to the mass grave and outside it. This can be explained by many years of human intervention and agricultural land use. With regard to the investigation of the mass graves of Italian prisoners of war near the city of Vynnyky, the modern territory is 100% wooded, which makes it impossible to apply aerial photography. Therefore, in order to compare the modern DEM with the stereo pair of aerial images of 1944, it was decided to conduct a ground tacheometric survey of the area in 2011. Tacheometric survey data was exported to the dxf exchange format, after which it was opened in Surfer and the DEM was built. In this case, digital elevation models were built using the Kriging method, since the area where the mass graves are located is quite hilly with a significant difference in elevation. According to the digital elevation models, 54 pits with burials that have survived to this day have been identified. The scientific novelty of the work consists in the development of the concept of combining disparate data for the construction of digital elevation models and the creation of a complete picture of the study of the territory of the object of historical and cultural heritage. The received data can be used by the relevant cultural heritage preservation departments of the Ministry of Culture of Ukraine for their further study.
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Piekielek, Nathan. "A semi-automated workflow for processing historic aerial photography." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-299-2019.
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<p><strong>Abstract.</strong> Libraries, museums and archives were the original big geospatial information repositories that to this day house thousands to millions of resources containing research-quality geographic information. However, these print resources (and their digital surrogates), are not easily incorporated into the contemporary research process because they are not structured data that is required of web-mapping and geographic information system tools. Fortunately, contemporary big data tools and methods can help with the large-scale conversion of historic resources into structured datasets for mapping and spatial analysis.</p><p>Single frame historic aerial photographs captured originally on film (hereafter “photographs”), are some of the most ubiquitous and information-rich geographic information resources housed in libraries, museums and archives. Photographs authentically encoded information about past places and time-periods without the thematic focus and cartographic generalization of historic print maps. As such, they contain important information in nearly every category of base mapping (i.e. transportation networks, populated places etc.), that is useful to a broad spectrum of research projects and other applications. Photographs are also some of the most frustrating historic resources to use due to their very large map-scale (i.e. small geographic area), lack of reference information and often unknown metadata (i.e. index map, flight altitude, direction etc.).</p><p>The capture of aerial photographs in the contiguous United States (U.S.) became common in the 1920s and was formalized in government programs to systematically photograph the nation at regular time intervals beginning in the 1930s. Many of these photography programs continued until the 1990s meaning that there are approximately 70 years of “data” available for the U.S. that is currently underutilized due to inaccessibility and the challenges of converting photographs to structured data. Large collections of photographs include government (e.g. the U.S. Department of Agriculture Aerial Photography Field Office “The Vault” – over 10 million photographs), educational (e.g. the University of California Santa Barbara Library – approximately 2.5 million photographs), and an unknown number non-governmental organizations (e.g. numerous regional planning commissions and watershed conservation groups). Collectively these photography resources constitute an untapped big geospatial data resource.</p><p>U.S. government photography programs such as the National Agricultural Imagery Program continued and expanded in the digital age (i.e. post early 2000s), so that not only is there opportunity to extend spatial analyses back in time, but also to create seamless datasets that integrate with current and expected future government aerial photography campaigns. What is more, satellite imagery sensors have improved to the point that there is now overlap between satellite imagery and aerial photography in terms of many of their technical specifications (i.e. spatial resolution etc.). The remote capture of land surface imagery is expanding rapidly and with it are new opportunities to explore long-term land-change analyses that require historical datasets.</p><p>Manual methods to process photographs are well-known, but are too labour intensive to apply to entire photography collections. Academic research on methods to increase the discoverability of photographs and convert them to geospatial data at large-scale has to date been limited (although see the work of W. Karel et al.). This presentation details a semi-automated workflow to process historic aerial photographs from U.S. government sources and compares the workflow and results to existing methods and datasets. In a pilot test area of 94 photographs in the U.S. state of Pennsylvania, the workflow was found to be nearly 100-times more efficient than commonly employed alternatives while achieving greater horizontal positional accuracy. Results compared favourably to contemporary digital aerial photography data products, suggesting that they are well-suited for integration with contemporary datasets. Finally, initial results of the workflow were incorporated into several existing online discovery and sharing platforms that will be highlighted in this presentation. Early online usage statistics as well as direct interaction with users demonstrates the broad interest and high-impact of photographs and their derived products (i.e. structured geospatial data).</p>
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Leckebusch, Jürg. "Aerial archaeology: a full digital workflow for aerial photography." Archaeological Prospection 12, no. 4 (2005): 235–44. http://dx.doi.org/10.1002/arp.260.
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Tobak, Zalán, József Szatmári, and Boudewijn Van Leeuwen. "Small Format Aerial Photography." Journal of Environmental Geography 1, no. 3-4 (July 1, 2008): 21–26. http://dx.doi.org/10.14232/jengeo-2008-43861.
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Since February 2008, an advanced system has been developed to acquire digital images in the visible to near infrared wavelengths. Using this system, it is possible to acquire data for a large variety of applications. The core of the system consists of a Duncantech MS3100 CIR (Color-InfraRed) multi-spectral camera. The main advantages of the system are its affordability and flexibility; within an hour the system can be deployed against very competitive costs. In several steps, using ArcGIS, Python and Avenue scripts, the raw data is semi-automatically processed into geo-referenced mosaics. This paper presents the parts of the system, the image processing workflow and several potential applications of the images.
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Hlotov, V., М. Fys, and О. Pashchetnyk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 92,2020, no. 92 (December 24, 2020): 45–54. http://dx.doi.org/10.23939/istcgcap2020.92.045.
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Purpose. Develop an optimal algorithm that will increase the accuracy of determining the coordinates of the terrain when using the aerial process applying an unmanned aerial vehicle (UAV). Method. The minimization of function based on the condition of collinearity is performed, which clarifies the elements of external orientation (EZO) of digital images and leads to an increase in the accuracy of the spatial coordinates of the points of objects. The proposed function is the sum of the squares of the differences between the calculated and measured reference points on the corresponding digital images. The sequence of implementation of the proposed algorithm is that taking into account the condition of the minimum of this function makes it possible to obtain a system of six nonlinear equations for EZO. The process of determining EZO is performed in two ways: in the first case, the function G is minimized directly by one of the numerical methods, and in the second - obtained as a solution of a system of equations, which gives refined EZO values based on initial approximations obtained directly from UAV telemetry. Modified conditions of the minimum of the function G in which there are no differentiation operations are used to control the accuracy of EZO determination. As a result, we obtain the final values of the EZO at the time of shooting. Results. An algorithm has been developed and tested on mock-ups on real examples, which allows to increase the accuracy of calculating the coordinates of terrain points when using UAVs for the aerial photography process. Scientific novelty. Formulas are obtained, which increase the accuracy of creating topographic materials by digital stereophotogrammetric method. Practical significance. The implementation of the developed algorithm will significantly increase the accuracy of processing large-scale orthophotos and topographic plans created on the basis of aerial photography from UAVs.
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Kazantsev, Ivan, Bimba-Tsyren Namsalov, and Elena Ovcharova. "A SKETCH OF A DIGITAL MAP OF THE VEGETATION COVER USING AERIAL PHOTOGRAPHY DATA." Interexpo GEO-Siberia 4, no. 1 (2019): 59–63. http://dx.doi.org/10.33764/2618-981x-2019-4-1-59-63.
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The paper presents a preliminary stage of automated interpretation of aerial photography data for mapping the vegetation cover of the south of Western Siberia and landscapes such as gully systems. To test computer methods, an aerial photograph is chosen of a typical area with field interpretation carried out on it. A sketch of a digital map of vegetation with digitized contours is created.
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Kin, Danylo, and Yurii Karpinskyi. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 95,2022, no. 95 (June 28, 2022): 103–12. http://dx.doi.org/10.23939/istcgcap2022.95.103.
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The aim of this work – research of topological inconsistencies during adjustment and junction of adjacent map sheets of digital topographic maps of scale 1:50000 with the use of rigorous analytical geodetic methods on the reference ellipsoid in the geoinformation environment. The research analyzes the phenomenon of topological inconsistencies of frames of adjacent digital topographic maps of 1:50000 scale within the zones of Gauss-Krueger projections and the feasibility of transition to rigorous analytical geodetic methods in the geoinformation environment during the creation of the topographic database “The Main state topographic map” by determining the differences between the vertices of the frames of digital topographic maps at a scale of 1: 50000 at the boundaries of the projection zones. This phenomenon was discovered during work at the state enterprise “Research Institute of Geodesy and Cartography”. The dependences are shown and analyzed, which show the changes in the distances between the vertices of the frames of adjacent map sheets of scale 1: 50000 in longitude and latitude. These values range from 1 mm to 8 mm, which leads to topological inconsistencies in the form of gaps and overlaps of adjacent map sheets. These gaps and overlaps complicate the process of adjustment of map sheets and make it impossible to automate the process of the junction of features into the topographic database. The scientific novelty of the research is to justify the use of rigorous analytical geodetic methods and tools instead of analog cartometric and standard methods of instrumental GIS; the use of a reference ellipsoid, not just cartographic projections, a spheroid or a sphere. The practical significance of research is the use of rigorous analytical geodetic methods that significantly minimize the values of gaps and overlaps, as the establishment of tolerances for these values does not automate the process of correct adjustment and junction of map sheets. The performed research can be used to create the topographic database “The Basic topographic map scale 1: 10000”, during the creation and updating of geospatial data in the geoinformation environment and the implementation of geodetic methods to determine the cartometric characteristics of features using GIS. Given the results of research, we can conclude that the present stage of application of geographic information systems in topographic and geodetic activities requires increasing the level of data topology and accuracy of all cartometric methods, which leads to the transition to extremely rigorous analytical geodetic methods directly on the reference ellipsoid.
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Kyselov, Yurii, O. Kravets, I. Udovenko, M. Shemiakin, P. Borovyk, and V. Kyryliuk. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 96,2022, no. 96 (December 2022): 24–31. http://dx.doi.org/10.23939/istcgcap2022.96.024.
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The purpose of the research is to substantiate the need for the use of GIS technologies in the study of the illumination degree of garden and park plantings. The paper also focuses on the versatile relief characteristics of the territory of the National Arboretum "Sofiivka" of the National Academy of Sciences of Ukraine by conducting 3D modeling and creating digital models based on it. The models are determined by individual levels of insolation sections of the "Sofiivka" territory. They are aimed at optimal selection of planting sites for park vegetation depending on the needs of specific species, conducting zoning and visualizing the illumination of the territory. Studies Methodology. Topographic maps of scale 1:10000 were used to determine the illumination of areas of the Sofiivka park. The research also utilized GIS technologies and created 3D models of various terrain characteristics. Additionally, the SURFER software package was applied. Research Results. Based on the example of the Sofiivka Arboretum in Uman, the study considers the use of GIS technologies for the analysis of illumination for the site selection in the project development and the maintenance of parks and their plantations. The illumination of certain areas of the territory makes it possible to appropriately place objects (gardens, buildings, etc.) when creating projects. In particular, for parks, GIS technologies allow choosing suitable places for certain plants. The amount of light falling on a given area depends mainly on its relief, and for a small area, it is determined by its slope and orientation. So, the specified problems were solved using a digital model of the relief and the SURFER software package. For the first time, a digital model of the relief of the Sofiivka National Arboretum of the National Academy of Sciences of Ukraine was created using a 1:10000 scale topographic map with a relief section of 1 m. Based on it, a 3D relief model of the park territory, models of slope steepness, exposure and illumination of individual areas were built for the first time and their visualization was made. The offered images clearly show all the features of the relief in connection with the level of insolation, that is, the illumination of the territory, which is necessary for the needs of horticulture. Experimental studies using GIS technologies resulted in proving the possibility and necessity of the territory zoning of the park according to lighting. The lighting zoning of the territory according to the CDM allows the planting site selection of park vegetation depending on its optimal needs. The proposed technique contributes to targeted selection and diversity in plantations.
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Niknamian, Sorush. "Design of Digital Aerial Photography System for UAV based on Wireless Sensor Network." Journal of Applied Science, Engineering, Technology, and Education 2, no. 1 (April 30, 2020): 43–57. http://dx.doi.org/10.35877/454ri.asci2196.
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The traditional UAV aerial photography system has the disadvantages of unclear imaging, low system efficiency and poor flight control effect. Thus, a digital aerial photography system based on wireless sensor network is proposed. Firstly, the principle of aerial photography system is analyzed, and the wireless sensor network is set up. A large number of wireless sensor nodes are deployed in the interval, and functions such as wireless communication and calculation are completed by nodes; the SN-RN data acquisition layer, the RN-UAV relay transmission layer and the UAV-DC mobile aggregation layer are designed to form a wireless sensor network architecture, and the UAV digital aerial photography technology is combined to form the wireless sensor network. Experiments show that the medium error, maximum error and medium error limit of the digital aerial photography of the UAV are low, the total working time of the system is short, and the accuracy of the flight execution of the UAV is maintained between 93%-95%, and always stable. Therefore, the overall imaging effect of this method is better, the system work efficiency is higher, the system control effect is better, and it is more practical and advantageous.
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Zagalikis, G., A. D. Cameron, and D. R. Miller. "The application of digital photogrammetry and image analysis techniques to derive tree and stand characteristics." Canadian Journal of Forest Research 35, no. 5 (May 1, 2005): 1224–37. http://dx.doi.org/10.1139/x05-030.
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Ground-based forest inventory surveys can provide highly accurate measurements of tree and stand characteristics, but these are expensive to carry out. Aerial photography has been used for several decades as a tool in forest management and inventory. However, conventional methods of interpretation are both time-consuming and costly, with results varying among interpreters. With continuing development of personal computer technology, aerial photographs have become more accessible for digital analysis. This paper presents the potential operational use of digitized aerial photographs for the estimation of tree and stand characteristics of two forest plantations of Sitka spruce (Picea sitchensis (Bong.) Carrière) in Scotland. The digitized aerial photographs were processed using softcopy photogrammetry, and image analysis techniques were used for individual tree crown delineation. For the first site the estimations of stand top height, basal area, volume, biomass, and density (23.7%) were similar to the ground-measured stand characteristics (±10%), whereas for the second site the estimations were less accurate mainly because of the nonoptimal illumination conditions during the acquisition of the aerial photographs.
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Booth, Arlyn, and Tom Huber. "Illinois Historical Aerial Photography Digital Archive Keeps Growing." Cartographic Perspectives, no. 53 (March 1, 2006): 56–57. http://dx.doi.org/10.14714/cp53.363.
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Walstra, J., J. H. Chandler, N. Dixon, and T. A. Dijkstra. "Aerial photography and digital photogrammetry for landslide monitoring." Geological Society, London, Special Publications 283, no. 1 (2007): 53–63. http://dx.doi.org/10.1144/sp283.5.
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Zhu, X., G. Pang, and C. Chen. "RESEARCH AND APPLICATION OF HISTORICAL 3D MODELING BASED ON ARCHIVED NON-OBLIQUE AERIAL PHOTOS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 555–60. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-555-2020.
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Abstract. Nowadays, the oblique and multi-view, large-overlap aerial photography and airborne LiDAR are the main sources to build the 3D scene model. However, most of our archived aerial photos are acquired by non-oblique, normal photography. Because of low resolution, low overlay and poor model texture, there were less relative research and application. With the development of pixel-level matching technology, especially the application of Semi-Global Matching (SGM) and Multi-View Stereo (MVS) algorithm, the normal (non-oblique, non-large overlap) aerial photos could also be explored to restore the dense Digital Surface Model (DSM) and 3D scene model. In this paper, the method of the 3D scene modelling with the non-oblique aerial photos are summarized into 4 steps consisting of Data preprocessing, Ground Control Points (GCPs) collection and aerial triangulation (AT), DSM extraction and editing, 3D modelling and visualization. For the archived non-oblique aerial photos, including the aerial photographic films, digital frame photos and push-broom aerial data, the key steps of the 3D modelling method with these non-oblique aerial photos are discussed. Based on the experiments, the method can effectively explore the archived normal aerial data for large range restoration, 3D restoration, time series change detection and etc., providing new valuable spatio-temporal data for the urban historical research.
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Protsyk, Mykhailo, Borys Chetverikov, and Andrii Ivanevych. "GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY 93,2021, no. 93 (June 23, 2021): 72–84. http://dx.doi.org/10.23939/istcgcap2021.93.072.
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Aim of the work. To develop a method of automated allocation of catchment basins and obtaining their hydrological and morphometric characteristics, which is based on digital terrain models. Methods and results of work. A necessary condition for the correct filling of the terrain is the presence of points of true flow at the edge of the settlement area (if the river flows into the lake, it should not enter the calculated area completely, otherwise incorrect results will be obtained). By performing the operation of filling the relief of the terrain, a new dem is created, which does not contain fictitious depressions and is used in the next step as input data to calculate the flow direction according to the algorithm d8. According to the proposed technological scheme it is necessary to process step by step the following six blocks: filling of closed depressions, calculation of runoff direction, calculation of total runoff, creation of point vector data set of closing points (mouth points), creation of watershed boundaries, raster-vector data conversion. Theoretical research tested the method of automated allocation of watersheds, namely the determination of hydrological and morphometric parameters of the terrain. The pools were ranked according to these parameters according to the existing classifications, a series of relevant thematic electronic maps was compiled. It should be noted that in Skole district of lviv region there are 590 catchment areas, and their area is 1407 km2. Watersheds are classified by outcrop, namely low-mountain basins in the region of 6, their area is 7 km2, medium-mountain 360, area 755 km2, high-mountain 224, area 645 km2. Pools are classified according to the average slope: the first category from 0-3 degrees, very gentle slopes - pools 27, area 7 km2; the second category from 9-12 degrees, sloping slopes-pools of 128, the area 303 km2; the third category from 12-15> degrees, steep slopes - pools of 225, the area 648 km2. The accuracy between the reference and the original relief model was evaluated. We can say that sle = 0.63 (m) slope, sle = 5.43 (m) height. Scientific novelty and practical significance. The technological scheme of automated separation of catchment basins according to digital relief models for Skoliv district of lviv region is proposed and the method of separation of catchment basins is worked out. According to the developed method, maps of watercourses of different orders and their catchment basins and classification of basins by area on the territory of Skole administrative district, which can be used by local organizations on water resources, are constructed.
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Арешев, Д. С. "Quality assessment of digital processing of images obtained by aerial photography with unmanned aerial vehicles." Informacionno-technologicheskij vestnik, no. 4(30) (December 15, 2021): 83–88. http://dx.doi.org/10.21499/2409-1650-30-4-83-88.
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Аэрофотосъемка и воздушная фотограмметрия с использованием беспилотных летательных аппаратов обеспечивают качество фотографий, не уступающее качеству, достигаемому при наземной фотосъемке, вместе с тем, использование беспилотных летательных аппаратов предоставляет более широкие возможности для формирования трехмерных изображений различных объектов, по сравнению с наземной фотосъемкой. Цифровая обработка видеоинформации, полученной при помощи фотокамеры, установленной на беспилотном летательном аппарате, требует проведения большого объема вычислений, поэтому актуальной задачей является оценка качества получаемого изображения для оптимизации алгоритмов обработки. Aerial photography and aerial photogrammetry with unmanned aerial vehicles provides photo quality not worse than the quality оf ground photography, however unmanned aerial vehicles provides more potential for getting 3D images of various objects than ground photography. Digital processing of video information obtained with a camera mounted on an unmanned aerial vehicle requires a great amount of calculations therefore quality assessment of the resulting images is an actual task to optimize processing algorithms.
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Scott, Samantha L., Rick Rohde, and Timm Hoffman. "Repeat Landscape Photography, Historical Ecology and the Wonder of Digital Archives in Southern Africa." African Research & Documentation 131 (2017): 35–47. http://dx.doi.org/10.1017/s0305862x00022512.
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Environmental history projects using repeat photography often involve the acquisition of large collections of historical and current images, matching those images for comparative analysis, and then cataloguing and archiving the imagery for long-term storage and later use (Webb et ah, 2010). When used in combination with other techniques, repeat photography is an excellent tool for documenting change (Gruell, 2010) and has been used in a variety of disciplines, including historical ecology, to determine changes in plant populations, soil erosion, climate trends and ecological processes to name a few. Historical photographs often provide greater temporal range to an analysis compared to, for example, satellite imagery and in many cases even aerial photography (Gruell, 2010).
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Scott, Samantha L., Rick Rohde, and Timm Hoffman. "Repeat Landscape Photography, Historical Ecology and the Wonder of Digital Archives in Southern Africa." African Research & Documentation 131 (2017): 35–47. http://dx.doi.org/10.1017/s0305862x00022512.
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Environmental history projects using repeat photography often involve the acquisition of large collections of historical and current images, matching those images for comparative analysis, and then cataloguing and archiving the imagery for long-term storage and later use (Webb et ah, 2010). When used in combination with other techniques, repeat photography is an excellent tool for documenting change (Gruell, 2010) and has been used in a variety of disciplines, including historical ecology, to determine changes in plant populations, soil erosion, climate trends and ecological processes to name a few. Historical photographs often provide greater temporal range to an analysis compared to, for example, satellite imagery and in many cases even aerial photography (Gruell, 2010).
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Karpinkyi, Yurii, and Nadiia Lazorenko-Hevel. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 92,2020, no. 92 (December 24, 2020): 24–36. http://dx.doi.org/10.23939/istcgcap2020.92.024.
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The article proposes a new development concept of topographic mapping in Ukraine. The goal. It is based on the implementation of a new system model that responds to the geoinformation approach to topographic mapping in the development of National Spatial Data Infrastructure (NSDI) and provides the creation of geospatial data sets in the form of databases and knowledge bases based on existing standards and specifications: series of International Standards ISO 19100 “Geographic information/Geomatics”, Open Geospatial Consortium (OGS), INSPIRE, National Standards of Ukraine (DSTU), Complex of Standards Organization of Ukraine (SOU) “Topographic database”. Methods. The basis for the research is the analysis of the possibilities of applying the theory of databases and knowledge bases International Standards and specifications. Scientific novelty and practical significance. It provides a high intellectual level of Core Reference and profile geospatial data, which is capable to provide geoinformation analysis and modeling in modern GIS. In addition, the implementation the infrastructure approach to topographic production and the creation and development of a permanent topographic monitoring system will ensure the publication of geospatial data in real time, almost simultaneously with changes in the terrain, which guarantees the maintenance of the single digital topographic basis and, accordingly, Core Reference Datasets for NSDI.
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Grottoli, Edoardo, Mélanie Biausque, David Rogers, Derek W. T. Jackson, and J. Andrew G. Cooper. "Structure-from-Motion-Derived Digital Surface Models from Historical Aerial Photographs: A New 3D Application for Coastal Dune Monitoring." Remote Sensing 13, no. 1 (December 30, 2020): 95. http://dx.doi.org/10.3390/rs13010095.
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Recent advances in structure-from-motion (SfM) techniques have proliferated the use of unmanned aerial vehicles (UAVs) in the monitoring of coastal landform changes, particularly when applied in the reconstruction of 3D surface models from historical aerial photographs. Here, we explore a number of depth map filtering and point cloud cleaning methods using the commercial software Agisoft Metashape Pro to determine the optimal methodology to build reliable digital surface models (DSMs). Twelve different aerial photography-derived DSMs are validated and compared against light detection and ranging (LiDAR)- and UAV-derived DSMs of a vegetated coastal dune system that has undergone several decades of coastline retreat. The different studied methods showed an average vertical error (root mean square error, RMSE) of approximately 1 m, with the best method resulting in an error value of 0.93 m. In our case, the best method resulted from the removal of confidence values in the range of 0–3 from the dense point cloud (DPC), with no filter applied to the depth maps. Differences among the methods examined were associated with the reconstruction of the dune slipface. The application of the modern SfM methodology to the analysis of historical aerial (vertical) photography is a novel (and reliable) new approach that can be used to better quantify coastal dune volume changes. DSMs derived from suitable historical aerial photographs, therefore, represent dependable sources of 3D data that can be used to better analyse long-term geomorphic changes in coastal dune areas that have undergone retreat.
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Yurchenko, V. I. "Matters of choosing the pixel size in topographic aerial photography." Geodesy and Cartography 977, no. 11 (December 20, 2021): 27–39. http://dx.doi.org/10.22389/0016-7126-2021-977-11-27-39.
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The existing regulatory documents on photogrammetric works are technologically outdated. They neither take into account the peculiarities of aerial photography with digital cameras, the navigation equipment used and modern image processing methods, nor regulate the technique of calculating the pixel size on the ground. In order to select the pixel size in the terrain for aerial photography with topographic requirements concerning to the results, the method of multivariate analysis of the input data is proposed. It is supposed to ensure the minimum pixel size on the ground according to such criteria as the accuracy of the aerial triangulation results, the accuracy of building a digital elevation model for orthotransformation, the possibility of the objects interpretation with a specified minimum size and consideration of camera exposure parameters. To determine the accuracy criteria, we used formulas for pre- calculation of spatial phototriangulation accuracy with multiple choice of parameters. Examples of pixel size selection in the terrain at designing aerial photography by an amateur camera for the purposes of large-scale mapping are considered. Conclusions on the necessity of solving the issues of selecting parameters of large scale aerial photography, taking into account multiple input data and used aerial survey equipment are made.
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Kuna, Jakub. "The Orthophotomap of Lublin 1944: from Luftwaffe photographs to map application – idea, methods, contemporary challenges of processing and publishing archival aerial photographs." Polish Cartographical Review 54, no. 1 (January 1, 2022): 123–42. http://dx.doi.org/10.2478/pcr-2022-0009.
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Abstract The origins of aerial photography can be traced back to the second half of the 19th century, and periods of World Wars contributed to the development of techniques for developing and disseminating aerial photographs for military purposes. In the literature, we find descriptions of the Polish Military Geographical Institute’s (WIG) use of aerial photography to update topographic maps of nearly 40% of the country’s area at the time. Unfortunately, the fate of the pre-war collection of photographs is difficult to establish. Given this, the aerial photographs from the period of the Second World War (German and Allied) constitute the oldest possible complete and consistent photographic documentation of Poland. The series of German prints (373-GXPRINTS) collected at the National Archives and Records Administration in College Park (NARA, USA) are maintained according to the most liberal policy on access and further use. At the same time, the organisation of the NARA archive and the extent to which the collection has been digitised (over one million images) leave a deficiency, and searching for images requires knowledge, methods and experience. In 2020–2021, the Department of Geomatics and Cartography of the Maria Curie-Skłodowska University implemented the project Development of the Ortophotomap of Lublin 1939–1945 (NCN, Miniatura 4.0. No. 2020/04/X/HS4/00382). The result of the project is a dedicated web portal https://ortolub.umcs.pl, consisting of a digital repository of aerial images, a map application and standardised GIS raster data services. The author believes this is a unique source base, with unprecedented detail. The publication of the project results under the Creative Commons CC-BY-SA 4.0 licence is intended to foster the widest possible use of wartime aerial images in scientific research and popularisation activities. The process of developing a historical orthophotomap, as presented in the article, is universal and can be repeated on any set of aerial photographs. At the same time, development work is needed to automate the operations as fully as possible. In conclusion, current challenges and prospects for the development of historical orthophotomaps of national coverage are indicated.
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Fensham, R. J., and R. J. Fairfax. "Aerial photography for assessing vegetation change: a review of applications and the relevance of findings for Australian vegetation history." Australian Journal of Botany 50, no. 4 (2002): 415. http://dx.doi.org/10.1071/bt01032.
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Studies attempting to calibrate vegetation attributes from aerial photography with field data are reviewed in detail. It is concluded that aerial photography has considerable advantages over satellite-based data because of its capacity to assess the vertical dimension of vegetation and the longer time period the record spans. Limitations of using the aerial photo record as digital data include standardising image contrast and rectification. Some of these problems can be circumvented by manual techniques, but problems of crown exaggeration that varies with photo scale and variation in contrast between the textures of tree crowns and the ground remain. Applications of aerial photography for assessing vegetation change are also reviewed and include deforestation, reforestation, changes in vegetation boundaries, tree density, community composition and crown dieback. These changes have been assessed at scales ranging from individual tree crowns to regional landscapes. In Australia, aerial photography has provided a clear demonstration of deforestation rates and the expansion and contraction of forest and woodland, which is generally attributed to changes in grazing and fire regimes. It is suggested that manual techniques with point-based sampling, digital processing of data for complete spatial coverages and the application of photogrammetric measurements with stereo-plotters are all techniques with great promise for utilising this underrated medium for assessment of vegetation dynamics.
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Take, W. A., M. J. Chappel, R. W. I. Brachman, and R. K. Rowe. "Quantifying geomembrane wrinkles using aerial photography and digital image processing." Geosynthetics International 14, no. 4 (August 2007): 219–27. http://dx.doi.org/10.1680/gein.2007.14.4.219.
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MATSUOKA, RYUJI. "Making out orthophotograph from aerial photography by digital image processing." Journal of the Japan society of photogrammetry and remote sensing 24 (1985): 56–58. http://dx.doi.org/10.4287/jsprs.24.special2_56.
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Purwanto, Taufik Hery. "Pemanfaatan Foto Udara Format Kecil untuk Ekstraksi Digital Elevation Model dengan Metode Stereoplotting." Majalah Geografi Indonesia 31, no. 1 (April 21, 2017): 73. http://dx.doi.org/10.22146/mgi.24246.
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Perkembangan Unmanned Aerial Vehicle (UAV) sebagai wahana dan kamera digital non-metrik sebagai sensor semakin mempermudah dalam akuisisi data foto udara Foto Udara Format Kecil (FUFK). Penelitian ini bertujuan menerapkan metode stereoplotting digital untuk menghasilkan Digital Elevation Model (DEM) dari FUFK hasil pemotretan udara dengan wahana UAV sebagian bukit Jering yang merupakan lokasi pembangunan perumahan murah bersubsidi Godean Jogja Hill’s. Metode penelitian ini meliputi: proses perencanaan (perencanaan jalur terbang, pelaksanaan pemotretan udara), pengolahan data (kalibrasi kamera, koreksi foto udara, stereoplotting, interpolasi), dan uji akurasi. Hasil penelitian adalah blok FUFK dan DEM dengan metode stereoplotting. Kesimpulan dari penelitian ini adalah FUFK yang diperoleh dari UAV memiliki distorsi lensa yang cukup besar, oleh karena itu stereoplotting interaktif dapat diterapkan pada FUFK dengan hasil yang cukup baik jika FUFK yang digunakan telah terkoreksi dari distorsi, terutama distorsi lensa. Akurasi absolut DEM yang dihasilkan memiliki HRMSE sebesar 0.073 meter dengan horizontal accuracy yang mencapai 0.121 meter, sedangkan RMSEz yang dimiliki hanya mampu mencapai 0.482 meter dengan vertical accurasi yang mencapai 0.793 meter pada tingkat kepercayaan 90%. Berdasarkan DEM yang diperoleh, maka dapat digunakan untuk merepresentasikan konfigurasi permukaan bukit dan menghitung volume sebagian bukit Jering yang telah dikeruk sebesar 55.953,813 m3. The development of Unmanned Aerial Vehicle (UAV) as a vehicle and non-metric digital camera as a sensor further simplify the data acquisition of Small Format Aerial Photography (SFAP). This study aims to apply digital stereoplotting method for generating Digital Elevation Model (DEM) of SFAP results of aerial photography with UAV on the Jering hill which is cheap subsidized housing location named Godean Yogyakarta Hill’s. This research method includes: flight planning (flight paths, aerial photography acquisition), data processing (camera calibration, correction of aerial photographs, stereoplotting, interpolation), and accuracy test. Results of the research was SFAP block and DEM generated from stereoplotting method. The conclusion of this study is SFAP obtained from UAV has a lens distortion is large, and therefore can be applied to interactive stereoplotting SFAP with fairly good results if SFAP used has been corrected of distortion, especially distortion lens (idealized). The absolute accuracy of the resulting DEM have HRMSE of 0,073 meters with a horizontal accuracy which reaches 0,121 meters, while RMSEz only able to reach 0,482 meters with a vertical accuracy which reaches 0793 meters at 90% confidence level. Based on the DEM obtained, it can be used to represent the surface configuration and to calculate the volume partially Jering hill that has been dredged out for is 55.953,813 m3.
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Taylor, Jessica K. D., Robert D. Kenney, Donald J. LeRoi, and Scott D. Kraus. "Automated Vertical Photography for Detecting Pelagic Species in Multitaxon Aerial Surveys." Marine Technology Society Journal 48, no. 1 (January 1, 2014): 36–48. http://dx.doi.org/10.4031/mtsj.48.1.9.
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AbstractMarine aerial surveys are designed to maximize the potential for detecting target species. Collecting data on different taxa from the same platform is economically advantageous but normally comes at the cost of compromising optimal taxon-specific scanning patterns and survey parameters, in particular altitude. Here, we describe simultaneous visual and photographic sampling methods as a proof of concept for detecting large whales and turtles from a single aircraft, despite very different sighting cues. Data were collected for fishing gear, fish, sharks, turtles, seals, dolphins, and whales using two observers and automated vertical photography. The photographic method documented an area directly beneath the aircraft that would otherwise have been obscured from observers. Preliminary density estimates were calculated for five species for which there were sufficient sample sizes from both methods after an initial year of data collection. The photographic method yielded significantly higher mean density estimates for loggerhead turtles, ocean sunfish, and blue sharks (p < 0.01), despite sampling a substantially smaller area than visual scanning (less than 11%). Density estimates from these two methods were not significantly different for leatherback turtles or basking sharks (p > 0.05), two of the largest species included in the analysis, which are relatively easy to detect by both methods. Although postflight manual processing of photographic data was extensive, this sampling method comes at no additional in-flight effort and obtains high-quality digital documentation of sightings on the trackline. Future directions for this project include automating photographic sighting detections, expanding the area covered by photography, and performing morphometric measurement assessments.
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Pilicheva, M., L. Maslii, and T. Anopriienko. "TECHNOLOGY OF GEODESIC WORKS IN THE INVENTORY OF GREEN SPACES USING UNMANNED AIRCRAFT." Municipal economy of cities 3, no. 170 (June 24, 2022): 263–70. http://dx.doi.org/10.33042/2522-1809-2022-3-170-263-270.
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The article is devoted to the study of the technology of inventory of green areas with the use of the latest technologies: unmanned aircraft and satellite navigation systems. The topic of the article is relevant, because reliable and up-to-date information on the quantitative and qualitative state of green spaces of settlements is obtained during their inventory and arrangement. As a result of conducting an inventory for each green economy object, a passport of the green economy improvement object is drawn up. The following documents are attached to the passport: an inventory plan on a given scale and a working diary of accounting for greenery. One of the links in the inventory of green spaces of the settlement is sub-field survey, which is currently performed using unmanned aerial vehicles and satellite technologies and in turn consists of topographic and geodetic and aerial photography, and is divided into the following stages: information collection; preparatory work; chamber work. At the stage of collecting information on the object of work, the available urban, land management, geodetic and cartographic materials are analyzed. The second stage – preparatory work, consists of field surveying and aerial photography. Field geodetic works include reconnaissance of the area and the development of plan-height substantiation of the aerial survey area. Field aerial photography consists of creating a flight project, pre-flight training of a quadcopter and direct aerial photography. In-house works are the third final stage, which consists of: processing of aerial photographs; creation of a polygonal terrain model; creation of orthophoto in scale 1: 500; creation of a topographic plan in the Digitals software package; reconnaissance of the area to clarify the spatial and attributive data on greenery; creation of the adjusted topographic plan of inventory of green spaces. It is also recommended to make adjustments to the obtained topographic plan, during which the position of trees in places where a large error was detected and outlines were formed was measured by linear notches with reference to rigid contours. At the same time it is necessary to clarify the species of trees according to the symbols. The digital information obtained in this way about green plantations can be used to calculate the cost of work on the development of the passport of the facility and inventory plan for a given area or create and develop geographic information portals of green areas of individual territories or settlements.
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Darwin, Norhadija, and Anuar Ahmad. "Fast Data Acquisition of Aerial Images Using Unmanned Aerial Vehicle System." International Journal of Informatics and Communication Technology (IJ-ICT) 3, no. 3 (December 1, 2014): 162. http://dx.doi.org/10.11591/ijict.v3i3.pp162-170.
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The present work discusses the technique and methodology of analysing the potential of fast data acquisition of aerial images using unmanned aerial vehicle system. This study utilizes UAV system for large scale mapping by using digital camera attached to the UAV. UAV is developed from the low-altitude photogrammetric mapping to perform the accuracy of the aerial photography and the resolution of the image. The Ground Control Points (GCPs) and Check Points (CPs) are established using Rapid Static techniques through GPS observation for registration purpose in photogrammetric process. The GCPs is used in the photogrammetric processes to produce photogrammetric output while the CP is employed for accuracy assessment. A Pentax Optio W90 consumer digital camera is also used in image acquisition of the aerial photograph. Besides, this study also involves image processing and map production using Erdas Imagine 8.6 software. The accuracy of the orthophoto is determined using the equation of Root Mean Square Error (RMSE). The final result from orthophoto is compared to the ground survey using total station to show the different accuracy of DEM and planimetric survey. It is discovered that root mean square errors obtained from UAV system are ± 0.510, ± 0.564 and ± 0.622 for coordinate x, y and z respectively. Hence, it can be concluded that the accuracy obtained from UAV system is achieved in sub meter. In a nutshell, UAV system has potential use for large scale mapping in field of surveying and other diversified environmental applications especially for small area which has limited time and less man power.
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Pavlova, A. I., V. K. Kalichkin, and A. V. Kalichkin. "Creation of the digital elevation model with the use of unmanned aerial vehicle." Siberian Herald of Agricultural Science 49, no. 3 (July 23, 2019): 70–78. http://dx.doi.org/10.26898/0370-8799-2019-3-9.
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The necessary sequence of stages has been developed and the unmanned technology for creating a digital elevation model by the example of the land use of Novosibirsk region has been implemented. The technology consists of a set of stages: reconnaissance of the terrain, fi xing reference signs, satellite measurements, aerial photography fl ights, processing the results of aerial photography and the construction of digital elevation model. The technological process was signifi cantly affected by unfavorable weather conditions - low clouds, gusty wind, high air humidity. Remote sensing study with the use of unmanned aerial vehicle of the Supercam S 250 F type made it possible to create a large-scale orthophotoplan and a digital elevation model on the farm territory (M 1 : 1000). For photogrammetric processing of digital data obtained on the farm, a two-stage method of satellite determination was used. The essence of this method was to obtain a large number of satellite measurements in a static mode and further statistical processing. For statistical processing of satellite measurements, information was used on the coordinate location of two base ground stations of the Novosibirsk Region satellite network - Kochenevo and Novosibirsk. Remoteness of support points from the ground satellite station of Novosibirsk was at a distance of over 90 km. As a result of equalization calculations, the obtained average square displacement errors of the planned and high-altitude position of the support points in various test sites were under 0.02 m in the plan, and under 0.03 m by height. In the process of photogrammetric processing of the results of aerial photography with the use of unmanned aerial vehicle, the tasks of transferring the position of points on a digital image in the pixel coordinate system into the coordinate system of the area, building digital irregular (TIN, Triangulated Irregular Network) and regular (DEM, Digital Elevation Model) surface models, and based on them, textured terrain models (TTM, Textured Terrain Model) and orthophotoplans, were solved.
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Dorozhynskyy, O. L. ,., I. Z. Kolb, L. V. Babiy, and L. V. Dychko. "GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY 92,2020, no. 92 (December 24, 2020): 15–23. http://dx.doi.org/10.23939/istcgcap2020.92.015.
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Aim. Determination of the elements of external spatial orientation of the surveying systems at the moment of image acquisition is the fundamental task in photogrammetry. Principally, this problem is solving in two ways. The first way is direct positioning and measuring of directions of camera optical axis in the geodetic space with the help of GNSS/INS equipment. The second way is the analytical solution of the problem using a set of reference information (often such information is a set of ground control points whose geodetic positions are known with sufficient accuracy and which are reliably recognised on aerial images of the photogrammetric block). The authors consider the task of providing reference and control information using the second approach, which has a number of advantages in terms of reliability and accuracy of determining the unknown image exterior orientation parameters. It is proposed to obtain additional images of ground control points by the method of their auxiliary aerial photography using an unmanned aerial vehicle (UAV) on a larger scale compared to the scale of the images of the photogrammetric block. The aim of the presented work is the implementation of the method of creating reference points and experimental confirmation of its effectiveness for photogrammetric processing. Methods and results. For the entire realization of the potential of the analytical way to determine the elements of external orientation of images, it is necessary to have a certain number of ground control points (GCP) and to keep the defined scheme of their location on the photogrammetric block. As the main source of input data authors use UAV aerial images of the terrain, which are obtained separately from the block of aerial survey, and have a better geometric resolution and which clearly depict the control reference points. Application of such auxiliary images gives the possibility of automated transferring of the position of ground control point into images of the main photogrammetric block. In our interpretation, these images of ground control points and their surroundings on the ground are called "control reference images". The basis of the work is to develop a method for obtaining the auxiliary control reference images and transferring of position of GCP depicted on them into aerial or space images of terrain by means of computer stereo matching. To achieve this goal, we have developed a processing method for the creation of control reference images of aerial image or a series of auxiliary multi-scale aerial images obtained by a drone from different heights above the reference point. The operator identifies and measures the GCP once on the auxiliary aerial image of the highest resolution. Then there is an automatic stereo matching of the control reference image in the whole series of auxiliary images in succession with a decrease in the resolution and, ultimately, directly with the aerial images of photogrammetric block. On this stage there are no recognition/cursor targeting by the human operator, and therefore there are no discrepancies, errors or mistakes related to it. In addition, if to apply fairly large size of control reference images, the proposed method can be used on a low-texture terrain, and therefore deal in many cases without the physical marking of points measured by GNSS method. And this is a way to simplify and reduce the cost of photogrammetric technology. The action of the developed method has been verified experimentally to provide the control reference information of the block of archival aerial images of the low-texture terrain. The results of the experimental approbation of the proposed method give grounds to assert that the method makes it possible to perform geodetic reference of photogrammetric projects more efficiently due to the refusal of the physical marking of the area before aerial survey. The proposed method can also be used to obtain the information for checking the quality of photogrammetric survey for provision of check points. The authors argue that the use of additional equipment - UAV of semi-professional class to obtain control reference images is economically feasible. Scientific novelty and practical relevance. The results of approbation of the "control reference image" method with obtaining stereo pairs of aerial images with vertical placement of the base are presented for the first time. There was implemented the study of the properties of such stereo pairs of aerial images to obtain images of reference points. The effectiveness of including reference images in the main block of the digital aerial triangulation network created on UAV’s images is shown.
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Shukina, Olga, Azizjon Ruziev, and Mansur Ergashev. "Use of UAV Geoscan 201 for surveying a linear object of the Khiva–Urgench highway." InterCarto. InterGIS 28, no. 1 (2022): 430–40. http://dx.doi.org/10.35595/2414-9179-2022-1-28-430-440.
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The aim of this work is to perform a linear aerial survey of the Khiva–Urgench highway using the Geoscan 210 UAV, the results of which will create orthophotomaps at a scale of 1:1 000, which are necessary for designing bicycle and sidewalk paths along this route. Surveyors of the Applied Geodesy Department of UZGASHKLITI performed a field planned-altitude reference at this object. 48 control points were determined. Characteristic solid contours along the route were chosen as reference points. The binding of control points was carried out from the starting points of the State Geodetic Networks, using satellite receivers (SN 5242498595, 5243499034, 4827155394) in the RTK mode in a radial way, by the calibration method on the ground. The coverage area was 17.4 sq. km. Aerial photography was carried out at a height of 211 m by a Geoscan 201 unmanned aerial vehicle at a scale of 1:500 with a DSC RXIR digital camera with a focal length of 35 mm. Forward overlap of aerial photographs was 70 %, and lateral—50 %. 4 aerial routes were made at this facility, the photography basis was 42 m. The number of aerial photographs at the facility was 3 868 pieces, and the coverage of aerial photography was 300 m. The images and their EXIF files were georeferenced by performing field processing using the Geoscan Planner program. Before the start of field work, the GNSS receiver (Trimble R6) was installed at a known point on the ground and started in static mode (10 Hz). The aircraft has a GNSS receiver (Topcon) operating in fast static mode (10 Hz). The GNSS data on the ground and on board the aircraft are balanced. Image center coordinates are calculated from the base station GNSS receiver data using MAGNET Tools software. Then the data is imported into Agisoft Metashape software for automatic processing. In this case, the coordinates of the image centers were recalculated from the WGS-84 system into the SK-42 (Pulkovo 1942) system adopted in our country. The process of optimization and alignment of aerial photographs was carried out. After that, in order to obtain a high image quality, the orthophoto map was built using a height map built on the basis of a dense point cloud. The result of the work performed are orthophoto maps for the Khiva–Urgench highway, which will be used to design the location of bicycle and sidewalk paths.
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Andreassen, Liss Marie, Hallgeir Elvehøy, and Bjarne Kjøllmoen. "Using aerial photography to study glacier changes in Norway." Annals of Glaciology 34 (2002): 343–48. http://dx.doi.org/10.3189/172756402781817626.
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AbstractThe Norwegian Water Resources and Energy Administration has photographed glacial areas in Norway for several decades. Detailed maps or digital terrain models have been made for selected glaciers from vertical aerial photographs. Multiple models of seven glaciers have been used here to calculate glacier volume change during the time between mappings using the geodetic method. Analyses and results are presented and compared with traditional mass-balance measurements. We estimated uncertainties of ±1.3–2.7mw.e. for the geodetic method, and ±1.3 –3.5mw.e. for the traditional method. The discrepancies between the methods varied between 0.4 and 4.7 mw.e. All glaciers decreased in volume from the 1960s/70s to the 1990s, except Hardangerjøkulen. This glacier experienced a significant increase in volume: the geodetic and traditional methods showed net balance values of +6.8m and +9.4mw.e., respectively. Trollbergdalsbreen had the largest total volume loss: the geodetic and traditional methods showed net balance values of –12.3 and –16.8mw.e.
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Zhang, Su, Christopher D. Lippitt, Susan M. Bogus, Andrew C. Loerch, and Jennie O. Sturm. "The accuracy of aerial triangulation products automatically generated from hyper-spatial resolution digital aerial photography." Remote Sensing Letters 7, no. 2 (December 2, 2015): 160–69. http://dx.doi.org/10.1080/2150704x.2015.1121299.
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Lewis, J. E., P. Budkewitsch, G. Newton, M. Sayed, and R. M. W. Frederking. "Two-dimensional analysis of ice ridging in the Beaufort Sea using aerial photography." Annals of Glaciology 19 (1994): 25–32. http://dx.doi.org/10.3189/1994aog19-1-25-32.
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Aerial photography was obtained for the Beaufort Sea north of Tuktoyaktuk. The flight path covered two distinct ice zones over a 15.5 km transect extending perpendicular to the coast, yielding fifty-nine photographs at a scale of 1 : 2000. The process of ridge extraction was automated using a series of computer algorithms for image filtering, edge detection and edge linking. Examples from two different sections along the transect are chosen for presentation: (a) a heavily ridged area, and (b) an area with one dominant linear ridge feature that separates ice cover of different age. Two parameters used in the automated process, a minimum edge gradient and minimum number of connected pixels said to form a continuous ridge segment, influence the number, length and spatial pattern of extracted ridges. Direct one-to-one correlations between manually interpreted ridges from photographs and the algorithm extracted ridges from digital data are not always possible. However, results indicate that the automated ridge extraction procedure reliably characterizes the overall direction and density of the ice ridges. The distribution of the ice-ridge directions is estimated from circular (angular) histograms constructed directly from the digital data. Analysis of the Beaufort Sea transect reveals that the ice ridging is strongly anisotropic, with a principal direction parallel to the local coastline.
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Lewis, J. E., P. Budkewitsch, G. Newton, M. Sayed, and R. M. W. Frederking. "Two-dimensional analysis of ice ridging in the Beaufort Sea using aerial photography." Annals of Glaciology 19 (1994): 25–32. http://dx.doi.org/10.1017/s0260305500010946.
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Aerial photography was obtained for the Beaufort Sea north of Tuktoyaktuk. The flight path covered two distinct ice zones over a 15.5 km transect extending perpendicular to the coast, yielding fifty-nine photographs at a scale of 1 : 2000. The process of ridge extraction was automated using a series of computer algorithms for image filtering, edge detection and edge linking. Examples from two different sections along the transect are chosen for presentation: (a) a heavily ridged area, and (b) an area with one dominant linear ridge feature that separates ice cover of different age. Two parameters used in the automated process, a minimum edge gradient and minimum number of connected pixels said to form a continuous ridge segment, influence the number, length and spatial pattern of extracted ridges. Direct one-to-one correlations between manually interpreted ridges from photographs and the algorithm extracted ridges from digital data are not always possible. However, results indicate that the automated ridge extraction procedure reliably characterizes the overall direction and density of the ice ridges. The distribution of the ice-ridge directions is estimated from circular (angular) histograms constructed directly from the digital data. Analysis of the Beaufort Sea transect reveals that the ice ridging is strongly anisotropic, with a principal direction parallel to the local coastline.
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Everitt, J. H., D. E. Escobar, D. N. Appel, W. G. Riggs, and M. R. Davis. "Using Airborne Digital Imagery for Detecting Oak Wilt Disease." Plant Disease 83, no. 6 (June 1999): 502–5. http://dx.doi.org/10.1094/pdis.1999.83.6.502.
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Color-infrared (CIR) digital imagery was evaluated as a remote sensing tool for detecting oak wilt disease in live oak (Quercus fusiformis). Aerial CIR digital imagery and CIR photography were obtained concurrently of a live oak forested area in south-central Texas affected by oak wilt. Dead, diseased, and healthy live oak trees could generally be delineated as well in the digital imagery as in the CIR photography. Light reflectance measurements obtained in the field showed that dead, diseased, and healthy trees had different visible and near-infrared reflectance values.
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Aber, James S., and Toshiro Nagasako. "Color-Infrared Kite Aerial Photography with a Mirrorless Digital SLR Camera." Transactions of the Kansas Academy of Science 121, no. 3-4 (September 1, 2018): 319. http://dx.doi.org/10.1660/062.121.0401.
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Holland, David A. "Vertical Aerial Photography and Digital Imagery: Rics Guidance Note (Fifth Edition)." Photogrammetric Record 27, no. 139 (September 2012): 388–89. http://dx.doi.org/10.1111/j.1477-9730.2012.00702_2.x.
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Curr, R. H. F., A. Koh, E. Edwards, A. T. Williams, and P. Davies. "Assessing anthropogenic impact on Mediterranean sand dunes from aerial digital photography." Journal of Coastal Conservation 6, no. 1 (December 2000): 15–22. http://dx.doi.org/10.1007/bf02730463.
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DOROSH, Olha, Yevhen BUTENKO, Hryhorii KOLISNYK, Andriy DOROSH, and Iryna KUPRIIANCHYK. "THE USE OF UAVS: DEVELOPMENT, PERSPECTIVES AND APPLICATION." AgroLife Scientific Journal 10, no. 2 (December 31, 2021): 63–71. http://dx.doi.org/10.17930/agl202127.
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The article explores some aspects of the use of unmanned aerial vehicles (UAVs), approaches to their classification and possible areas of application. The main advantages and disadvantages of using unmanned aerial vehicles of different types (quadcopter and aircraft type) in comparison with classical aerial photography and ground shooting are revealed. The features of UAV aerial photography at different stages of semi-automatic mode are considered. Aerial photography of a local object (land with vegetation and the building of the NULES of Ukraine building) was performed by a quadcopter with the subsequent acquisition of an orthophoto, a digital model, construction of a 3D image and a further topographic plan of scale 1:500. Surveying materials were proceeded with a specialized Pix4D program. We counted the time needed to perform separate stages of material processing. In this case, all stages of processing were performed in automatic mode, except for entering coordinates of anchor points. The main disadvantage of this program was the need to form a 3D model in manual mode without the possibility of phased saving. The article offers a classification of the main problems of using UAVs, namely: regulatory, technical and scientific. The comparative assessment of the use of technologies of tacheometric survey, terrestrial scanning, lidar and aerial photography with UAV and their use for land cover monitoring purposes was made.
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He, Yuanrong, Weiwei Ma, Zelong Ma, Wenjie Fu, Chihcheng Chen, Cheng-Fu Yang, and Zhen Liu. "Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures." Applied Sciences 9, no. 22 (November 18, 2019): 4954. http://dx.doi.org/10.3390/app9224954.
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In this research, we investigated using unmanned aerial vehicle (UAV) photographic technology to prevent the further expansion of unauthorized construction and thereby reduce postdisaster losses. First, UAV dynamic aerial photography was used to obtain dynamic digital surface model (DSM) data and elevation changes of 2–8 m as the initial sieve target. Then, two periods of dynamic orthophoto images were superimposed for human–computer interaction interpretation, so we could quickly distinguish buildings undergoing expansion, new construction, or demolition. At the same time, mobile geographic information system (GIS) software was used to survey the field, and the information gathered was developed to support unauthorized construction detection. Finally, aerial images, interpretation results, and ground survey information were integrated and released on WebGIS to build a regulatory platform that can achieve accurate management and effectively prevent violations.
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Vávrů, Petr, and Helge Viken. "Mapping of Greenland landscape using aerial photography and orthophotography (Technical Note)." Czech Polar Reports 3, no. 2 (June 1, 2013): 208–12. http://dx.doi.org/10.5817/cpr2013-2-21.
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Aerial photography is an important tool for mapping on local scale. In the paper, description of aerial photos taken over several urban and natural landscape sites in West Greenland is given as well as their processing. Using a high-resolution software, aerial photos were processed and digital terrain models (DTMs) of the sites produced. Technique of contour lines was used to check the created DTM for particular site. Finally, orthophotos of all sites were produced. In this Technical Note, several sites located on Western coast of Greenland are presented and the use of maps generated from orthophotos is discussed.
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van Niel, T. G., and T. R. McVicar. "Assessing positional accuracy and its effects on rice crop area measurement: an application at Coleambally Irrigation Area." Australian Journal of Experimental Agriculture 41, no. 4 (2001): 557. http://dx.doi.org/10.1071/ea00140.
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If management decisions are based on geospatial data that have not been assessed for spatial accuracy, then debate about both the measurements and the decisions themselves can occur. This debate, in part, can be avoided by evaluating the spatial accuracy of geospatial data, leading to heightened confidence in both the data and the decisions made from the data. To increase the effectiveness of environmental compliance monitoring, the spatial accuracies of 2 Geographic Information System datasets were estimated at the Coleambally Irrigation Area, New South Wales. The first, high-resolution digital aerial photography acquired in January 2000, is the Geographic Information System baseline data for Coleambally Irrigation Area. The second, Digital Topographic Data Base roads data, although not a reference dataset at Coleambally Irrigation Area, is often used as a baseline dataset across Australia. Neither dataset met the National Mapping Council of Australia’s standard of map accuracy, so a new version of the digital aerial photography was created that did. The positional accuracy of the improved dataset was over 4 times more accurate than the Digital Topographic Data Base roads dataset and over 2.5 times more accurate than the original digital aerial photography. It was also found that the overall areal error of paddocks measured from the improved dataset decreased as more paddock areas were added together; a finding that has a direct impact on management decisions at Coleambally Irrigation Area. This study both provides a demonstration of how to assess and improve spatial accuracy and shows that this process is not unduly complicated.
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Ruzgienė, Birutė. "A COMPARISON TEST OF FEATURE EXTRACTION FROM AERIAL PHOTOGRAPHY." Geodesy and cartography 30, no. 4 (August 3, 2012): 112–16. http://dx.doi.org/10.3846/13921541.2004.9636653.
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All features visible in the aerial photographs can be collected by traditional photogrammetric methods; however, such techniques require high operator skills and are very time-consuming. The decision which photogrammetric method uses in mapping is primarily economic, also workload, project deadline requirements and accurate data have to be considered. Up-to-date developed automatic or semi-automatic systems are highly effective for 3D features extraction in urban areas. The investigation objective is the comparison of analytical and digital semi-automatic photogrammetric mapping methods for 3D building models extraction from aerial images analysing in time-consuming and in collected data accuracy consideration.
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Huda, Feblil, Kaspul Anuar, Syafri Syafri, and Anita Susilawati. "PEMBUATAN PETA GEOSPASIAL MELALUI PEMETAAN UDARA PADA KELURAHAN BATU BERSURAT, KECAMATAN XIII KOTO KAMPAR, KABUPATEN KAMPAR, PROVINSI RIAU." Dinamisia : Jurnal Pengabdian Kepada Masyarakat 3, no. 1 (June 25, 2019): 76–83. http://dx.doi.org/10.31849/dinamisia.v3i1.2060.
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One of the most commonly used geospatial mapping methods is photogrammetry (aerial mapping). Photogrammetry is a method of mapping objects on the surface of the earth by using aerial photography as a medium. The aerial mapping process is carried out through cameras installed on Unmanned Aerial Vehicle (UAV). From the aerial photography, object interpretation and geometry measurements will be carried out to produce line maps, digital maps and photo maps. In general, photogrammetry is a mapping technology by utilizing aerial photography to be processed into a geo-spatial information system. Batu Bersurat Village is one of the villages located in Subdistrict XIII Koto Kampar, Kampar Regency, which did not have a geospatial information map. Community service team from the Mechanical Engineering Department of the University of Riau had a plan to carry out community service activities in Batu Besurat Village in the form of making geospatial information maps through aerial mapping. This aerial mapping activity was carried out by utilizing UAV with the type of fixed wing. In its implementation, the community service activities were planned to involve Mechanical Engineering students, university students of the University of Riau, village officials and the local community. It is expected that with this community service program, the geospatial information system map made by Batu Bersurat Village can be used in village spatial planning for agricultural land, residential land and validation of village boundaries.
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Kemper, G., A. Weidauer, and T. Coppack. "MONITORING SEABIRDS AND MARINE MAMMALS BY GEOREFERENCED AERIAL PHOTOGRAPHY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 689–94. http://dx.doi.org/10.5194/isprs-archives-xli-b8-689-2016.
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The assessment of anthropogenic impacts on the marine environment is challenged by the accessibility, accuracy and validity of biogeographical information. Offshore wind farm projects require large-scale ecological surveys before, during and after construction, in order to assess potential effects on the distribution and abundance of protected species. The robustness of site-specific population estimates depends largely on the extent and design of spatial coverage and the accuracy of the applied census technique. Standard environmental assessment studies in Germany have so far included aerial visual surveys to evaluate potential impacts of offshore wind farms on seabirds and marine mammals. However, low flight altitudes, necessary for the visual classification of species, disturb sensitive bird species and also hold significant safety risks for the observers. Thus, aerial surveys based on high-resolution digital imagery, which can be carried out at higher (safer) flight altitudes (beyond the rotor-swept zone of the wind turbines) have become a mandatory requirement, technically solving the problem of distant-related observation bias. A purpose-assembled imagery system including medium-format cameras in conjunction with a dedicated geo-positioning platform delivers series of orthogonal digital images that meet the current technical requirements of authorities for surveying marine wildlife at a comparatively low cost. At a flight altitude of 425 m, a focal length of 110 mm, implemented forward motion compensation (FMC) and exposure times ranging between 1/1600 and 1/1000 s, the twin-camera system generates high quality 16 bit RGB images with a ground sampling distance (GSD) of 2 cm and an image footprint of 155 x 410 m. The image files are readily transferrable to a GIS environment for further editing, taking overlapping image areas and areas affected by glare into account. The imagery can be routinely screened by the human eye guided by purpose-programmed software to distinguish biological from non-biological signals. Each detected seabird or marine mammal signal is identified to species level or assigned to a species group and automatically saved into a geo-database for subsequent quality assurance, geo-statistical analyses and data export to third-party users. The relative size of a detected object can be accurately measured which provides key information for species-identification. During the development and testing of this system until 2015, more than 40 surveys have produced around 500.000 digital aerial images, of which some were taken in specially protected areas (SPA) of the Baltic Sea and thus include a wide range of relevant species. Here, we present the technical principles of this comparatively new survey approach and discuss the key methodological challenges related to optimizing survey design and workflow in view of the pending regulatory requirements for effective environmental impact assessments.
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Kemper, G., A. Weidauer, and T. Coppack. "MONITORING SEABIRDS AND MARINE MAMMALS BY GEOREFERENCED AERIAL PHOTOGRAPHY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 689–94. http://dx.doi.org/10.5194/isprsarchives-xli-b8-689-2016.
Full textAbstract:
The assessment of anthropogenic impacts on the marine environment is challenged by the accessibility, accuracy and validity of biogeographical information. Offshore wind farm projects require large-scale ecological surveys before, during and after construction, in order to assess potential effects on the distribution and abundance of protected species. The robustness of site-specific population estimates depends largely on the extent and design of spatial coverage and the accuracy of the applied census technique. Standard environmental assessment studies in Germany have so far included aerial visual surveys to evaluate potential impacts of offshore wind farms on seabirds and marine mammals. However, low flight altitudes, necessary for the visual classification of species, disturb sensitive bird species and also hold significant safety risks for the observers. Thus, aerial surveys based on high-resolution digital imagery, which can be carried out at higher (safer) flight altitudes (beyond the rotor-swept zone of the wind turbines) have become a mandatory requirement, technically solving the problem of distant-related observation bias. A purpose-assembled imagery system including medium-format cameras in conjunction with a dedicated geo-positioning platform delivers series of orthogonal digital images that meet the current technical requirements of authorities for surveying marine wildlife at a comparatively low cost. At a flight altitude of 425 m, a focal length of 110 mm, implemented forward motion compensation (FMC) and exposure times ranging between 1/1600 and 1/1000 s, the twin-camera system generates high quality 16 bit RGB images with a ground sampling distance (GSD) of 2 cm and an image footprint of 155 x 410 m. The image files are readily transferrable to a GIS environment for further editing, taking overlapping image areas and areas affected by glare into account. The imagery can be routinely screened by the human eye guided by purpose-programmed software to distinguish biological from non-biological signals. Each detected seabird or marine mammal signal is identified to species level or assigned to a species group and automatically saved into a geo-database for subsequent quality assurance, geo-statistical analyses and data export to third-party users. The relative size of a detected object can be accurately measured which provides key information for species-identification. During the development and testing of this system until 2015, more than 40 surveys have produced around 500.000 digital aerial images, of which some were taken in specially protected areas (SPA) of the Baltic Sea and thus include a wide range of relevant species. Here, we present the technical principles of this comparatively new survey approach and discuss the key methodological challenges related to optimizing survey design and workflow in view of the pending regulatory requirements for effective environmental impact assessments.