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Journal articles on the topic 'Aerial digital 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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.
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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/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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Kuznetsov, Evgeniy, Galina Koretskaia, and Asmelash Abay. "Comparative Analysis of Aerial Photography with Instrumental Survey." E3S Web of Conferences 174 (2020): 01031. http://dx.doi.org/10.1051/e3sconf/202017401031.
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At present, in Kuzbass, various methods of automation of plane surveys in open mining are used. In most cases, the choice of method depends on the material base of the enterprise and the professionalism of the performers. Typically, the work on the surveying automation consists in using electronic tachometers, which reduce time and simplify field and office work. However, the use of electronic tachometers remains the human factor and does not allow solving the problem of displaying the situation throughout the open pit at one physical moment of time. Aerial photography (AP) significantly increases the performance of plane surveys and makes it possible to most fully and reliably display the information about the surface and ensure the safety of fieldwork. The article presents a comparative analysis of the accuracy of constructing a digital terrain model obtained during aerial photography by AN-2 aircraft and instrumental survey performed with electronic tachometer Leica TS 06 plus, by example of surveying a trench of section № 1 at Olzherassky open pit in the Kemerovo region. The advantages and disadvantages of AP from an airplane and prospects of using AP from an unmanned aerial vehicle (UAV) are given.
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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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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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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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Resler, Lynn M., Mark A. Fonstad, and David R. Butler. "Mapping the Alpine Treeline Ecotone with Digital Aerial Photography and Textural Analysis." Geocarto International 19, no. 1 (March 2004): 37–44. http://dx.doi.org/10.1080/10106040408542297.
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Martínez-del-Pozo, José-Ángel, Enrique Cerrillo-Cuenca, and Ernesto Salas-Tovar. "Low Altitude Aerial Photography Applications for Digital Surface Models Creation in Archaeology." Transactions in GIS 17, no. 2 (November 6, 2012): 227–46. http://dx.doi.org/10.1111/j.1467-9671.2012.01361.x.
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Zvyagin, K. N., and D. D. Maltsev. "Revisiting the digital noise reduction in automatic contouring of “ice-water” objects." Arctic and Antarctic Research 66, no. 1 (March 27, 2020): 102–14. http://dx.doi.org/10.30758/0555-2648-2020-66-1-102-114.
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This work describes the practical implementation of the method for digital noise suppression during processing images containing ice information to recognize automatically the contours of «ice-water» objects during aerial photography. Images containing ice information have special characteristic structural features related to noise, e.g.granularity, glare, ice crumbs. This makes difficult or even impossible to recognize automatically the contours of ice-water objects. It is known that the success of the application of edge recognition methods depends on how much image noise is reduced. The paper discusses the construction method for the management of noise. The method is based on the sequential application of the Haar wavelet transform denoising using thresholding, clustering by k-means method. For the subsequent automatic construction of ice floes contours the Sobel operator is applied.The aim of the work is to develop a method capable to process digital images effectively that contain ice information with strong digital noise. In this work we treated the images of one-year ice containing strong digital image noise in the form of granularity and in the form of ice crumbs. A description of the features of each of the steps of the proposed method and practical application is given.As a result, the method was developed for processing images of ice information containing digital noise in absolute value commensurate with the basic data. It was noted that the use of the k-means method expands the scope. The k-rare method allows more detailed processing of ice information and distinguishes not only the contours of ice-water objects, but also the contours of ice crumbs.The conclusion formulates the main advantages of the method and the possible application of the algorithm in the process of local exploration of the ice conditions of the Northern Sea Route channel using unmanned aerial vehicle for aerial photography. The usage of unmanned aerial vehicle for aerial photography will increase the frequency of weather forecast updates and predict the appearance of ice objects at the ship’s heading. That will allow us to select the safest and most economical efficient route along the Northern Sea Route.The authors have no competing interests.
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Yurchenko, Vladislav I. "DESIGN PECULIARITIES OF THE AERIAL PHOTOGRAPHY FROM AN UNMANNED AIRCRAFT." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 26, no. 2 (2021): 65–81. http://dx.doi.org/10.33764/2411-1759-2021-26-2-65-81.
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The existing publicly available programs for the design of unmanned aerial vehicle (UAV) flights assume an initial level of personnel training and do not provide for a detailed study of the aerial pho-tography project (APP) in terms of photogrammetric and visual (photographic) quality of photographic materials, requirements of regulatory documents for the accuracy of the final product. In order to achieve the topographic quality of the APP with UAV, it is necessary to take into account a number of its features. The paper considers the issues of determining the optimal duration of the aerial photog-raphy day and the effective image format when using interchangeable lenses. It also provides the rec-ommended procedure for calculating the parameters of the topographic APP, taking into account the data of the exposure triangle "shutter speed - aperture - photosensitivity (ISO)", requirements for the maximum quality and theoretical resolution of the "lens - digital image" system. The technique of de-termining the position of high-rise objects relative to the boundaries of the depth of field (DOF) at giv-en exposure parameters of the camera and the possibility of their correction is described. Based on the theoretical provisions, the author has developed a program that allows it possible to carry out the com-prehensive design of aerial photography works with UAVs, including consumer cameras to obtain re-sults of topographic quality. According to the results of the carried out research, it was concluded that an iterative approach to the design of APP parameters is necessary based on the data on shoot location, the customer's requirements for accuracy, the characteristics of the UAV, and the used photographic equipment.
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Djukić, Emina, and Ana Peraica. "Studio Portraiture as a Construct: Interview with Ana Peraica." Membrana Journal of Photography, Vol. 3, no. 2 (2018): 14–17. http://dx.doi.org/10.47659/m5.014.int.
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Dr. Ana Peraica was born into a family of photographers. Her grandfather, as well as her father after him, run a family photo studio Atelier Perajica on the main square of Diocletian’s palace in Split, Croatia. The studio went into Ana’s hands, and she still works there herself today. Besides running the business, her main focus is photographic theory, more precise the field of contemporary arts, visual culture studies and media theory. It is very thought- provoking to see how her background and studio practice influenced her research and vice versa. In her writings she focuses on networked society, strategies of anonymity and pseudonymity, parallel hyper-narratives etc. She currently works on her new book Postdigital Arcadia in which she focuses on changes in the post digital photography (eg. aerial images and 360 images), and reflects upon the changes brought about by new visual language on our perception of reality. We spoke also about her last published book The Culture of the Selfie, an important survey on this particular contemporary phenomenon. Keywords: background, photographic backdrop, photography, selfie, studio photography
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Kim, K. M. "ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 695–98. http://dx.doi.org/10.5194/isprsarchives-xli-b8-695-2016.
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Traditional field methods for measuring tree heights are often too costly and time consuming. An alternative remote sensing approach is to measure tree heights from digital stereo photographs which is more practical for forest managers and less expensive than LiDAR or synthetic aperture radar. This work proposes an estimation of stand height and forest volume(m<sup>3</sup>/ha) using normalized digital surface model (nDSM) from high resolution stereo photography (25cm resolution) and forest type map. The study area was located in Mt. Maehwa model forest in Hong Chun-Gun, South Korea. The forest type map has four attributes such as major species, age class, DBH class and crown density class by stand. Overlapping aerial photos were taken in September 2013 and digital surface model (DSM) was created by photogrammetric methods(aerial triangulation, digital image matching). Then, digital terrain model (DTM) was created by filtering DSM and subtracted DTM from DSM pixel by pixel, resulting in nDSM which represents object heights (buildings, trees, etc.). Two independent variables from nDSM were used to estimate forest stand volume: crown density (%) and stand height (m). First, crown density was calculated using canopy segmentation method considering live crown ratio. Next, stand height was produced by averaging individual tree heights in a stand using Esri’s ArcGIS and the USDA Forest Service’s FUSION software. Finally, stand volume was estimated and mapped using aerial photo stand volume equations by species which have two independent variables, crown density and stand height. South Korea has a historical imagery archive which can show forest change in 40 years of successful forest rehabilitation. For a future study, forest volume change map (1970s–present) will be produced using this stand volume estimation method and a historical imagery archive.
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Kim, K. M. "ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 695–98. http://dx.doi.org/10.5194/isprs-archives-xli-b8-695-2016.
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Traditional field methods for measuring tree heights are often too costly and time consuming. An alternative remote sensing approach is to measure tree heights from digital stereo photographs which is more practical for forest managers and less expensive than LiDAR or synthetic aperture radar. This work proposes an estimation of stand height and forest volume(m<sup>3</sup>/ha) using normalized digital surface model (nDSM) from high resolution stereo photography (25cm resolution) and forest type map. The study area was located in Mt. Maehwa model forest in Hong Chun-Gun, South Korea. The forest type map has four attributes such as major species, age class, DBH class and crown density class by stand. Overlapping aerial photos were taken in September 2013 and digital surface model (DSM) was created by photogrammetric methods(aerial triangulation, digital image matching). Then, digital terrain model (DTM) was created by filtering DSM and subtracted DTM from DSM pixel by pixel, resulting in nDSM which represents object heights (buildings, trees, etc.). Two independent variables from nDSM were used to estimate forest stand volume: crown density (%) and stand height (m). First, crown density was calculated using canopy segmentation method considering live crown ratio. Next, stand height was produced by averaging individual tree heights in a stand using Esri’s ArcGIS and the USDA Forest Service’s FUSION software. Finally, stand volume was estimated and mapped using aerial photo stand volume equations by species which have two independent variables, crown density and stand height. South Korea has a historical imagery archive which can show forest change in 40 years of successful forest rehabilitation. For a future study, forest volume change map (1970s–present) will be produced using this stand volume estimation method and a historical imagery archive.
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Herrmann, Jason T. "Special Issue on Digital Domains." Advances in Archaeological Practice 2, no. 3 (August 2014): 145–46. http://dx.doi.org/10.7183/2326-3768.2.3.145.
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More and more archaeologists who once relied on shovels and surveys now regularly collect data with digital sensors and use computer-based management systems to carry out complex analyses. Geographic information systems (GIS) and geographic information science (GISc), satellite remote sensing, aerial and close-range photography, terrestrial and aerial Light Detection and Ranging (LiDAR), near-surface geophysics, and a wide array of visualization schemes designed to integrate and display data from multiple platforms are now integral to every stage of archaeological investigation, interpretation, and reporting. Even though these methods are an increasing part of archaeological research worldwide, there have been few conferences, meetings, or workshops dedicated to sharing methods and applications in digital archaeology in North America or even in the Western Hemisphere, with the exception of a few special sessions in regional or general archaeological conferences. This deficit is particularly striking in comparison with the situation in Europe, where several societies dedicated to archaeological geomatics regularly hold both continental and regional meetings.
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Tsydypov, Bair Z., Bator V. Sodnomov, Vladimir N. Chernykh, Yury M. Ilyin, Bair O. Gurzhapov, Alexander A. Ayurzhanaev, Maria V. Semenova, et al. "Intensity Assessment of Erosion-Accumulative Processes in the Selenga Middle Mountains (Case Study of the Gully Network of the Nizhnyaya Bulanka Depression, Western Transbaikalia)." Geosciences 10, no. 10 (September 28, 2020): 387. http://dx.doi.org/10.3390/geosciences10100387.
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The advantages of a quantitative assessment of the spatial and temporal variability of the boundaries and volumes of ravines using modern means and methods of aerial photography from an unmanned aerial vehicle (UAV) are substantiated, in contrast to traditional survey methods (linear method of benchmarks, tacheometric, aerial and space photography, laser scanning). The erosion zoning and mapping of linear and gully formations on the territory of the Kuitunka, Tarbagataika, and Kunaleika river basins (Selenga middle mountains) are carried out. The reanalysis data were used to assess extreme meteorological events leading to the acceleration of erosion processes. Paleontological material confirms the long duration of erosive-accumulative processes in the Nizhnyaya Bulanka depression. High-accuracy multi-temporal orthophotomaps and digital elevation models of Bulanka gully using unmanned aerial vehicles were produced. The method of quantitative estimation of gully formation rates is offered, which allows estimating with high accuracy the change of area and volume characteristics of erosive forms.
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Che, Yingpu, Qing Wang, Ziwen Xie, Long Zhou, Shuangwei Li, Fang Hui, Xiqing Wang, Baoguo Li, and Yuntao Ma. "Estimation of maize plant height and leaf area index dynamics using an unmanned aerial vehicle with oblique and nadir photography." Annals of Botany 126, no. 4 (May 20, 2020): 765–73. http://dx.doi.org/10.1093/aob/mcaa097.
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Abstract Background and Aims High-throughput phenotyping is a limitation in plant genetics and breeding due to large-scale experiments in the field. Unmanned aerial vehicles (UAVs) can help to extract plant phenotypic traits rapidly and non-destructively with high efficiency. The general aim of this study is to estimate the dynamic plant height and leaf area index (LAI) by nadir and oblique photography with a UAV, and to compare the integrity of the established three-dimensional (3-D) canopy by these two methods. Methods Images were captured by a high-resolution digital RGB camera mounted on a UAV at five stages with nadir and oblique photography, and processed by Agisoft Metashape to generate point clouds, orthomosaic maps and digital surface models. Individual plots were segmented according to their positions in the experimental design layout. The plant height of each inbred line was calculated automatically by a reference ground method. The LAI was calculated by the 3-D voxel method. The reconstructed canopy was sliced into different layers to compare leaf area density obtained from oblique and nadir photography. Key Results Good agreements were found for plant height between nadir photography, oblique photography and manual measurement during the whole growing season. The estimated LAI by oblique photography correlated better with measured LAI (slope = 0.87, R2 = 0.67), compared with that of nadir photography (slope = 0.74, R2 = 0.56). The total number of point clouds obtained by oblique photography was about 2.7–3.1 times than those by nadir photography. Leaf area density calculated by nadir photography was much less than that obtained by oblique photography, especially near the plant base. Conclusions Plant height and LAI can be extracted automatically and efficiently by both photography methods. Oblique photography can provide intensive point clouds and relatively complete canopy information at low cost. The reconstructed 3-D profile of the plant canopy can be easily recognized by oblique photography.
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Mills, J. P., I. Newton, and R. W. Graham. "Aerial Photography for Survey Purposes with a High Resolution, Small Format, Digital Camera." Photogrammetric Record 15, no. 88 (October 1996): 575–87. http://dx.doi.org/10.1111/0031-868x.00065.
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Hapke, Cheryl, and Bruce Richmond. "Monitoring Beach Morphology Changes Using Small-Format Aerial Photography and Digital Softcopy Photogrammetry." Environmental Geosciences 7, no. 1 (March 2000): 32–37. http://dx.doi.org/10.1046/j.1526-0984.2000.71001.x.
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