Relevant bibliographies by topics / Aerial digital photography

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  1. Journal articles
  2. Dissertations / Theses
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Academic literature on the topic 'Aerial digital photography'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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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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Dissertations / Theses on the topic "Aerial digital photography"

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Millinor, William A. "Digital Vegetation Delineation on Scanned Orthorectified Aerial Photography of Petersburg National Battlefield." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20001123-131211.

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I developed a new methodology to produce an orthorectified mosaic and a vegetation database of Petersburg National Battlefield using mostly digital methods. Both the mosaic and the database meet National Map Accuracy Standards and proved considerably faster than traditional aerial photograph interpretation methods. I classified vegetation polygons to the formation level using the Nature Conservancy?s National Vegetation Classification System. Urban areas were classified using Mitchell?s Classification Scheme for Urban Forest Mapping with Small-Scale Aerial Photographs. This method reduced the production time by 2/3, compared to traditional methods. It also reduced the chance of user error because re-tracing of the linework is not required.

My method started with scanning 75 aerial color IR photos, provided by Petersburg National Battlefield, at 600 dpi. Erdas Imagine was used to rectify the images using United States Geological Service (USGS) Digital Elevation Models (DEM) and black and white USGS Digital Orthophoto Quarter Quadrangles (DOQQ) as reference. The images were then mosaiced to create a seamless color infrared orthorectified basemap of the park. The vegetation polygons were drawn onscreen using ArcMap from Environmental Systems Research Institute, Inc. (ESRI) with the color, orthorectified mosaic as a background image. Stereo pairs of the aerial photos were referenced as needed for clarification of the vegetation. I used a minimum mapping unit (mmu) of 0.2 hectares, which exceeds guidelines defined by the United States Geological Survey ? National Park Service Vegetation Mapping Program. This methodology is easily learned quickly and has already been applied to several other studies.

The production of an orthorectified mosaic, created during the process, from the aerial photographs greatly increases the value of the photographs at little additional cost to the user. The orthorectified basemap can then be used as a backdrop for existing data layers or it can be used to create new GIS data layers. I used a minimum mapping unit (mmu) of 0.2 hectare, which exceeds guidelines defined by the United States Geological Survey-National Park Service Vegetation Mapping Program

Traditionally, vegetation polygons are delineated on acetate for each photograph. The linework on the acetates is then transferred to a basemap using a zoom transfer scope or other transfer instrument. The linework is traced again to digitize it for use in a GIS program. This process is time consuming, and the linework is drawn three times. The redundant tracing increases the chance of user error. My new methodology requires that polygons be delineated only once. I wanted to avoid using the zoom transfer scope and to avoid the redundant linework.

A total of 228 polygons were delineated over 20 separate vegetation and land cover classes with an overall thematic accuracy of 87.42% and a Kappa of .8545. Positional accuracy was very good with a RMSE of 1.62 meters in the x direction and 2.81 meters in the y direction. The Kappa and RMSE values compare favorably with accuracies obtained using traditional vegetation mapping methods.

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Korpela, Ilkka. "Individual tree measurements by means of digital aerial photogrammetry." Helsinki : Finnish Forest Research Institute, Finnish Society of Forest Science, 2004. http://catalog.hathitrust.org/api/volumes/oclc/55872310.html.

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Edwards, Esther. "An investigation into the use of aerial digital photography for monitoring coastal sand dunes." Thesis, Bath Spa University, 2001. http://researchspace.bathspa.ac.uk/1442/.

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The coastal zone is a highly dynamic entity both spatially and temporally and when shoreline changes (and in particular retreat) occur on a hmnan time-scale, measurement of the rate of change becomes a pressing issue. This dynamism presents an excellent scenario for monitoring change using remote sensing techniques, and in the case of coastal sand dunes, where the requirement is to measure small scale changes such as erosion or accretion in the region of 10 or 20 m, aerial photography is the preferred source of remotely sensed data. The rapid developments in digital camera technology and real time satellite differential Global Positioning Systems have yielded new opportunities for mapping and monitoring environmental change when used with image processing and mapping software and state-of-the-art digital photogrammetric workstations. Despite the progress in digital technologies, however, there is still considerable lack of awareness on the part of potential users, and it is in response to this that the processing chain for data collection through to orthophoto production described here has been developed. This study explores the major issues that affect quality, mission logistics and cost and will demonstrate the methodology and application of digital techniques for producing georectified imagery and contoured orthophoto maps of coastal environments. This will be achieved through a series of case studies of dynamic dune environments in south-west England and France. Digital imagery was captured using a colour infrared Aerial Digital Photographic System and ground control was collected using differential Global Positioning Systems. This study seeks to assess the application of this imagery to coastal dune monitoring, putting these new techniques within the grasp of coastal dune managers, enabling them to make use of digital imagery captured to different specifications depending on the accuracy requirement of the end product. The results indicate that this type of imagery and the techniques used can provide the dune manager with information which would otherwise be too costly or time consuming to acquire. 2D rectification of the imagery provided maps of dune retreat and accretion with errors in the region of± 1.5m, and rectification to a higher order using 3D photogrammetric correction provided 1 :5000 contoured orthophotographs with mean xy errors in the region of 2. 5 m and mean elevation errors in the region of 1.5m.
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Baxter, Kieran Andrew. "Topography and flight : the creative application of aerial photography and digital visualisation for landscape heritage." Thesis, University of Dundee, 2017. https://discovery.dundee.ac.uk/en/studentTheses/e22373db-adee-4bb1-9fbe-43691816ce85.

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Aerial photography and digital visualisation technologies are commonly used to reveal and interpret archaeological sites and landscapes. These methods afford a clarity and overview that has considerable advantages in heritage visualisation. Despite this, both technologies offer a view that is distanced from the grounded experiences that are integral to heritage sites and landscapes. This tension, between visualisation technologies and lived experience, is significant because the experiences of visiting these places are a valuable common platform - shared by specialists and general audiences alike - for communicating archaeological narratives. Beyond this, such tensions have been central to debates within landscape archaeology about how embodied perspectives on the one hand, and the conventions of visual representation on the other, might affect archaeological interpretations. This thesis investigates the hypothesis that creative practice can serve to bridge the gap between visualisation technologies and lived experience, ultimately providing more powerful and meaningful visualisations of landscape heritage. This is possible because aerial and digital visualisations can and do go beyond topographical representation and respond to the aesthetic and emotive dimensions of landscape. Aerial photographs and digital models resist the visual modes of modernity despite their technological premise. The meanings that they transmit draw not only from the visual language of aerial photography and digital media but also from the viewer's prior experience of landscape and flight. It is within this context that this study attempts to better understand the relationship between visualisation technologies, creative practice, and the lived experience of landscape. To do this the author adopts the role of research-practitioner in order to explore and demonstrate the arguments through the creative application of aerial photography and digital visualisation technologies. This practice combines methods from archaeological survey, and approaches from visual effects filmmaking, with an aesthetic inspired by artist-photographers like Marilyn Bridges, Emmet Gowin and Patricia Macdonald. These creative practitioners have adopted the aerial view to portray landscapes with intimacy, agency and dynamism. The practice aims to work from an immersed or insider's view, drawing influence from Tim Ingold's notion of the "dwelling perspective". A main case study is undertaken at the Iron Age hillfort site of the Caterthuns in Angus, Scotland, with supporting case studies at the prehistoric site of Links of Notlland in Orkney and additional hillfort sites in Strathearn. Through this hands-on experience the aim is to better understand how novel approaches to practice can improve landscape heritage visualisation in an interdisciplinary context.
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Koch, Frank Henry Jr. "A Comparison of Digital Vegetation Mapping and Image Orthorectification Methods Using Aerial Photography of Valley Forge National Historical Park." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010417-180334.

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In recent years, mapping software utilizing scanned?or ?softcopy??aerial photographs has become widely available. Using scanned photos of Valley Forge (PA) National Historical Park, I explored some of the latest tools for image processing and computer-based vegetation mapping. My primary objective was to compare different approaches for their efficiency and accuracy. In keeping with the USGS-NPS Vegetation Mapping Program protocol, I classified the park?s vegetation according to The Nature Conservancy?s National Vegetation Classification System (NVCS).

Initially, I scanned forty-nine 1:6000 color-infrared air photos of the area at 600 dpi using an Epson desktop scanner. I orthorectified the images by two different methods. First, I did so on a single-image basis using ERDAS Imagine. In this approach, United States Geological Survey (USGS) Digital Ortho Quarter Quadrangles (DOQQ) and a 10-meter Digital Elevation Model (DEM) served as references for between seven and twelve ground control points per photo. After achieving a root mean square error (RMSE) of less than 1 meter for an image, I resampled it into an orthophoto. I then repeated the process using Imagine Orthobase. Via aerial triangulation, Orthobase generated an RMSE solution for the entire block of images, which I resampled into orthophotos using a batch process.

Positional accuracies were remarkably similar for image mosaics I created from the single-image as well as the Orthobase orthophotos. For both mosaics, planimetric x-coordinate accuracy met the U.S. National Map Accuracy Standard for Class 1 maps, while planimetric y-coordinate accuracy met the Class 2 standard. However, the Orthobase method is faster?reducing process time by 50%?and requires 20% (or less) of the ground control points necessary for the single-image method.

I delineated the park?s vegetation to the formation level of the NVCS. Using ESRI ArcMap, I digitized polygons of homogeneous areas observed from the orthophotos. This on-screen mapping approach was largely monoscopic, though I verified some areas using a scanning stereoscope and the original hard-copy photos. The minimum mapping unit (MMU) was 0.5 acres (ac), smaller than that recommended by the USGS-NPS protocol. Based on field data, thematic accuracy for this map met the National Map Accuracy Standard of 80%. Misestimation of the hydrologic period of certain polygons resulted in some classification errors, as did confusion between evergreen and deciduous vegetation.

In addition to orthophotos, Orthobase creates a stereo block viewable in ERDAS Stereo Analyst, a digital stereoscopic software package. Using Crystal Eyes? eyewear and a high-refresh-rate monitor, a user can observe imagery full screen, three-dimensionally. Features delineated on the images are stored in ESRI shapefile format. I created a preliminary vegetation map at the alliance level of the NVCS with this software. Thematic accuracy of this map will be known when assessment is completed this summer. Notably, the classification scheme has required revision to accommodate the anthropogenically altered landscape of Valley Forge.

Nevertheless, it is clear that Stereo Analyst offers advantages for vegetation and other types of mapping. Stereoscopic view and sharp zoom-in capabilities make photo interpretation straightforward. Because features are delineated directly into a GIS, Stereo Analyst cuts process time by 70% and avoids two steps that can introduce errors in conventional mapping methods (i.e., transfer to map base and digitizing). Perhaps most importantly, joint use of Orthobase and Stereo Analyst allows simultaneous orthophoto creation and GIS data collection; in contrast, the ArcMap approach requires finished orthophotos before features can be delineated. Ultimately, though, both monoscopic and stereoscopic methods have roles in vegetation mapping projects. The level of detail required for the project should determine which technique is most appropriate.

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Pacurari, Doru I. "Evaluation of the use of remotely sensed images to speciate mixed Appalachian forests." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1550.

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Thesis (M.S.)--West Virginia University, 2000.
Title from document title page. Document formatted into pages; contains x, 128 p. : ill. (some col.), maps (some col.) Vita. Includes abstract. Includes bibliographical references (p. 116-121).
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Noguez, Cristiane Teixeira. "Construção do sistema de informações geográficas da margem esquerda do canal do Rio Grande / SJN (SIG-MECR/SJN) com base em imagens digitais de pequeno formato." reponame:Repositório Institucional da FURG, 2005. http://repositorio.furg.br/handle/1/3649.

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Dissertação(mestrado) - Universidade Federal do Rio Grande, Programa de Pós-Graduação em Oceanografia Física, Química e Geológica, Instituto de Oceanografia, 2005.
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Este estudo apresenta um mapeamento detalhado do uso do solo da margem esquerda do Canal do Rio Grande, no município de São José do Norte, realizado através da fotointerpretação de imagens digitais, 35 mm, no modo visível, adquiridas com o sensor aerotransportado ADAR 1000 e de verificações de campo. As imagens foram inseridas no programa MegaGIS, criando um Sistema de Informações Geográficas (SIGs), denominado SIG-MECRG/SJN. A alta resolução das fotografias aéreas (0,5m por pixel) permitiu a visualização e identificação dos diferentes alvos. Através do uso de produtos de sensoriamento remoto e do uso das tecnologias de geoprocessamento, é possível mapear e identificar as feições observadas. O uso das fotografias aéreas é adequado para o mapeamento de áreas urbanas, devido à sua alta resolução espacial. Além das informações digitais, foram obtidas informações sobre as residências da área através de entrevistas com os moradores. Para a elaboração do SIG, foram utilizados programas para georreferenciar, exportar e manipular as fotografias aéreas. O emprego destas fotografias foi satisfatório para o reconhecimento e identificação das feições estudadas. As principais feições mapeadas na área de estudo foram as residências, a linha de costa, a hidrografia, as marismas, as dunas e as modificações antrópicas. Todas as informações inseridas no SIG, podem ser consultadas de acordo com o interesse do pesquisador. Estas consultas podem ser disponibilizadas na forma de gráficos para a visualização dos dados.
This study presents a detailed mapping of the land uses along the left margin of the Canal do Rio Grande, municipality of São José do Norte. The mapping was conducted using (a) interpretation of digital photographs (35 mm) acquired by airborne sensor ADAR 1000 and (b) field surveys. A Geographical Information System (GIS), denominated SIG-MECRG/SJN, was created using the MegaGIS software. To build the GIS, it was necessary the application of geoprocessing techniques, and export and enhancement of digital photos. Additionally, data about the properties identified in the photos were obtained through interviews with local residents. The high resolution of the aerial photos (0.5 m per pixel) combined with geoprocessing techniques allowed the identification of the different targets in the urban area. The main targets identified in the area are: houses, coastline, water flows, salt marshes, dunes, and man-made changes in the landscape. The GIS allows searching of information according to specific needs from which data can be displayed in tabular or graphic formats.
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Nilsson, Niklas. "Feature detection for geospatial referencing." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-159809.

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With the drone industry's recent explosive advancement, aerial photography is becoming increasingly important for an array of applications ranging from construction to agriculture. A drone flyover can give a better overview of regions that are difficult to navigate, and is often significantly faster, cheaper and more accurate than man-made sketches and other alternatives. With this increased use comes a growing need for image processing methods to help in analyzing captured photographs. This thesis presents a method for automatic location detection in aerial photographs using databases of aerial photographs and satellite images. The proposed pipeline is based on an initial round of tests, performed by using existing feature detection, description and matching algorithms on aerial photographs with a high degree of similarity. After which further modifications and improvements were implemented to make the method functional also for handling aerial photographs with a high level of inherent differences, e.g., viewpoint changes, different camera- and lens parameters, temporary objects and weather effects. The method is shown to yield highly accurate results in geographical regions containing features with a low level of ambiguity, and where factors like viewpoint difference are not too extreme. In particular, the method has been most successful in cities and some types of farmland, producing very good results compared to methods based on camera parameters and GPS-location, which have been common in automatic location detection previously. Knowledge of these parameters is not necessary when applying the method, making it applicable more generally and also independently of the precision of the instruments used to determine said parameters.  Furthermore, the approach is extended for automatic processing of video streams. With lack of available ground truth data, no definite conclusions about absolute accuracy of the method can be drawn for this use case. But it is nevertheless clear that processing speeds can be greatly improved by making use of the fact that subsequent video snapshots have a large graphical overlap. And it can indeed also be said that, for the tested video stream, using a type of extrapolation can greatly reduce the risk of graphical noise making location detection impossible for any given snapshot.
Då drönarindustrin växer så det knakar, har flygfoton blivit allt viktigare för en rad applikationer i vårt samhälle. Att flyga över ett svårnavigerat område med en drönare kan ge bättre översikt och är ofta snabbare, billigare och mer precist än skisser eller andra alternativa översiktsmetoder. Med denna ökade användning kommer också ett ökat behov av automatisk bildprocessering för att hjälpa till i analysen av dessa fotografier. Denna avhandling presenterar en metod för automatisk positionsbedömning av flygfoton, med hjälp av databaser med flygfoton och satellitfoton. Den presenterade metoden är baserad på inledande tester av existerande feature detection, feature description och feature matching algoritmer på ett något förenklat problem, där givna foton är väldigt grafiskt lika. Efter detta implementerades ytterligare modifikationer och förbättringar för att göra metoden mer robust även för bilder med en hög nivå av grafisk diskrepans, exempelvis skillnad i synvinkel, kamera- och linsparametrar, temporära objekt och vädereffekter. Den föreslagna metoden ger nöjaktiga resultat i geografiska regioner med en proportionellt stor mängd grafiska särdrag som enkelt kan särskiljas från varandra och där den grafiska diskrepansen inte är allt för stor. Särskilt goda resultat ses i bland annat städer och vissa typer av jordbruksområden, där metoden kan ge betydligt bättre resultat än metoder baserade på kända kameraparametrar och fotografens GPS-positionering, vilket har varit ett vanligt sätt att utföra denna typ av automatisk positionsbestämning tidigare. Dessutom är den presenterade metoden ofta enklare att applicera, då precisionen för diverse mätinstrument som annars måste användas när fotot tas inte spelar in alls i metodens beräkningar. Dessutom har metoden utökats för automatisk processering av videoströmmar. På grund av bristfälligt referensdata kan inga definitiva slutsatser dras angående metodens precision för detta användningsområde. Men det är ändå tydligt att beräkningstiden kan minskas drastiskt genom att använda faktumet att två påföljande ögonblicksbilder har ett stort grafiskt överlapp. Genom att använda en sorts extrapolering kan inverkan från grafiskt brus också minskas, brus som kan göra positionsbestämning omöjligt för en given ögonblicksbild.
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Walstra, Jan. "Historical aerial photographs and digital photogrammetry for landslide assessment." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/2501.

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This study demonstrates the value of historical aerial photographs as a source for monitoring long-term landslide evolution, which can be unlocked by using appropriate photogrammetric methods. The understanding of landslide mechanisms requires extensive data records; a literature review identified quantitative data on surface movements as a key element for their analysis. It is generally acknowledged that, owing to the flexibility and high degree of automation of modern digital photogrammetric techniques, it is possible to derive detailed quantitative data from aerial photographs. In spite of the relative ease of such techniques, there is only scarce research available on data quality that can be achieved using commonly available material, hence the motivation of this study. In two landslide case-studies (the Mam Tor and East Pentwyn landslides) the different types of products were explored, that can be derived from historical aerial photographs. These products comprised geomorphological maps, automatically derived elevation models (DEMs) and displacement vectors. They proved to be useful and sufficiently accurate for monitoring landslide evolution. Comparison with independent survey data showed good consistency, hence validating the techniques used. A wide range of imagery was used in terms of quality, media and format. Analysis of the combined datasets resulted in improvements to the stochastic model and establishment of a relationship between image ground resolution and data accuracy. Undetected systematic effects provided a limiting constraint to the accuracy of the derived data, but the datasets proved insufficient to quantify each factor individually. An important advancement in digital photogrammetry is image matching, which allows automation of various stages of the working chain. However, it appeared that the radiometric quality of historical images may not always assure good results, both for extracting DEMs and vectors using automatic methods. It can be concluded that the photographic archive can provide invaluable data for landslide studies, when modern photogrammetric techniques are being used. As ever, independent and appropriate checks should always be included in any photogrammetric design.
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Zagalikis, Georgios D. "Estimation of forest stand parameters using digital orthorectified aerial photographs." Thesis, University of Aberdeen, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274879.

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Ground based forest inventory surveys can provide highly accurate measurements of tree and stand characteristics, but are time-consuming and costly, and therefore typically limited to number of sample plots.  Estimating tree and stand characteristics from digitised aerial photographs can provide measurements from the whole stand, but is less accurate.  The goal of this study was to evaluate the application of scanned, stereo aerial photography and digital photogrammetry in combination with tree crown delineation techniques to measure tree and stand characteristics in two sites in Scotland, Rosarie and Leanachan forests.  Existing medium-resolution scanned images of true colour aerial photographs (1:10,000) were used to derive Digital Elevation Models (DEMs) of the forest canopy and digital orthophotographs.  Tree crown delineation techniques were used on the derived digital orthophotographs and tree crown measurements including crown area and coordinates of each crown were derived.  The DEMs in combination with Digital Terrain Models (DTMs) derived from digital contour maps, were used for the estimation of tree and stand heights.  Equations derived from regression analysis of individual tree measurements on the ground, and the orthophotographs from Rosarie forest, were used for the estimation of tree and stand characteristics of both sites. For Rosarie forest the estimations of stand top height, basal area, stand volume stand biomass and stand density (~23.7%) were similar with the ground measured stand characteristics (±10%), where as for Leanachan forest the estimations were less accurate due to the non-optimum illumination conditions during the acquisition of the aerial photographs. The level of accuracy achieved in this study is adequate for measuring tree and stand characteristics, if the acquisition conditions of aerial photographs are optimal.  Higher level of accuracy may be possible, but requires more accurate DTMs, possibly derived using active airborne remote sensing sensors.
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Books on the topic "Aerial digital photography"

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Aber, James S. Small-format aerial photography: Principles, techniques and geoscience applications. Amsterdam: Elsevier Science, 2010.

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Korpela, Ilkka. Individual tree measurements by means of digital aerial photogrammetry. Helsinki: Finnish Society of Forest Science ; Finnish Forest Research Institute, 2004.

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Digital analysis of remotely sensed imagery. New York: McGraw-Hill, 2009.

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Sandau, Rainer. Digital Airborne Camera: Introduction and Technology. Dordrecht: Springer Science+Business Media B.V., 2010.

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Matsuyama, Takashi. SIGMA: A knowledge-based aerial image understanding system. New York: Plenum, 1990.

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1978-, Westphal Ulrike, Hoffmann Felix 1929-, C/O's e. V, and C/O Berlin (Gallery), eds. Ungefähre Landschaft. München: Deutscher Kunstverlag, 2009.

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Newcomer, J. BOREAS level-0 AOCI imagery: Digital counts in BIL format. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Kasser, Michel. Digital Photogrammetry. London: Taylor & Francis Group Plc, 2004.

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Yves, Egels, ed. Digital photogrammetry. London: Taylor & Francis, 2002.

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F, Knizhnikov I͡U. Aėrokosmicheskie issledovanii͡a dinamiki geograficheskikh i͡avleniĭ. Moskva: Izd-vo Moskovskogo universiteta, 1991.

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Book chapters on the topic "Aerial digital photography"

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Burger, B. "ADAR Digital Aerial Photography Applications In Precision Farming." In Proceedings of the Third International Conference on Precision Agriculture, 905. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1996.precisionagproc3.c108.

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Jiang, Wencong, Yanling Li, Yong Liang, and Yanwei Zeng. "Research on Quality Index System of Digital Aerial Photography Results." In Computer and Computing Technologies in Agriculture IV, 381–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18336-2_47.

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Wang, Xiaojun, Yanling Li, Yong Liang, and Yanwei Zeng. "Research on Quality Inspection Method of Digital Aerial Photography Results." In Computer and Computing Technologies in Agriculture IV, 392–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18336-2_48.

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Zeng, Yanwei, Yong Liang, Wencong Jiang, and Xiaojun Wang. "Research on Automatic Inspection Methods of Flight Quality of Digital Aerial Photography Results." In Computer and Computing Technologies in Agriculture V, 176–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27275-2_19.

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Liang, Yong, Yanwei Zeng, Wencong Jiang, and Xiaojun Wang. "Research on Automatic Inspection Methods of Image Quality of Digital Aerial Photography Results." In Computer and Computing Technologies in Agriculture V, 320–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27275-2_37.

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Ishiguro, Satoshi, Katsumasa Yamada, Takehisa Yamakita, Hiroya Yamano, Hiroyuki Oguma, and Tsuneo Matsunaga. "Classification of Seagrass Beds by Coupling Airborne LiDAR Bathymetry Data and Digital Aerial Photographs." In Aquatic Biodiversity Conservation and Ecosystem Services, 59–70. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0780-4_5.

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Aber, James S., Irene Marzolff, Johannes B. Ries, and Susan E. W. Aber. "Digital Image Processing and Analysis." In Small-Format Aerial Photography and UAS Imagery, 191–221. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-812942-5.00011-2.

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Horning, Ned, Julie A. Robinson, Eleanor J. Sterling, Woody Turner, and Sacha Spector. "Marine and coastal environments." In Remote Sensing for Ecology and Conservation. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199219940.003.0013.

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New remote sensing challenges arise from the addition of the water column to the remote sensing signal. At the same time, new opportunities for use of remotely sensed data are possible in the marine environment. Marine environments can have organisms in such great abundance that they are readily monitored using remote sensing. From measuring ocean productivity, to harmful algal blooms (HABs), to fisheries management, remote sensing is a key component of many efforts to manage and conserve marine ecosystems. For example, the small giant clam, Tridacna maxima, is endangered in some areas of the Pacific, and because of commercial harvest pressure is listed in Appendix II of the Convention on the International Trade of Endangered Species (CITES, meaning they are not yet threatened by extinction but could become so if their trade is not tightly regulated). Andréfouët et al. (2005a) used field observations and remotely sensed data to study the productivity of the clam fishery in tiny (22.2 km2, including a 9.9 km2 lagoon) Fangatau Atoll (Eastern Tuamotu, French Polynesia). The fishery was under pressure due to the large (4 ton per year) export of clams to Tahiti. Remotely sensed data included a mosaic of aerial photographs (1.5 m resolution), a digital photograph taken from the International Space Station (red, green, blue, 5.6 m resolution), and Landsat TM imagery (30 m resolution). The authors classified each image of key lagoon habitats, using maximum likelihood supervised classification, with each image classified independently. They estimated the population size for the entire lagoon by multiplying the mean clam density in each habitat (from field data) by the total area of each habitat (in the maps made from the remotely sensed data). Amazingly, an estimated 23.65 ± 5.33 million clams (mean ± 95 percent confidence interval) inhabited the 4.05 km2 area of suitable habitat in the lagoon. The high spatial resolution data (1.5 m aerial and 5.6 m astronaut photography data) both gave equivalent estimates of the biomass with good estimates of accuracy, but the Landsat 30 m data overestimated the population.
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Zelasco, José Francisco, Gaspar Porta, and José Luis Fernandez Ausinaga. "Geometric Quality in Geographic Information." In Encyclopedia of Database Technologies and Applications, 266–70. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-560-3.ch045.

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A typical way to build surface numerical models or Digital Elevation Models (DEMs) for Geographical Information Systems (GIS) is by processing the stereo images obtained from, for example, aerial photography or SPOT satellite data. These GIS can perform many computations involving their geographic databases. The quality control of a geographic database, and in particular the topological and geometric integrity, are, therefore, important topics (Guptill & Morrison, 1995; Harvey, 1997; Laurini & Milleret-Raffort, 1993; Ubeda & Servigne, 1996). The geometric quality control of the stored DEM is what we are concerned with here. “Quality” means the geometric precision measured in terms of the difference between a DEM and a reference DEM (R-DEM). We assume the R-DEM is a faithful model of the actual surface. Its point density may be greater than the DEM point density.
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Skirvin, Susan, William Kepner, Stuart Marsh, Samuel Drake, John Maingi, Curtis Edmonds, Christopher Watts, and David Williams. "Assessing the Accuracy of Satellite-Derived Land-Cover Classification Using Historical Aerial Photography, Digital Orthophoto Quadrangles, and Airborne Video Data." In Remote Sensing and GIS Accuracy Assessment, 115–31. CRC Press, 2004. http://dx.doi.org/10.1201/9780203497586.ch9.

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Conference papers on the topic "Aerial digital photography"

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Yurchuk, Iryna, Vladyslav Kovdrya, and Lolita Bilyanska. "Segmentation of Digital Images of Aerial Photography." In 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD). IEEE, 2019. http://dx.doi.org/10.1109/apuavd47061.2019.8943841.

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Anderson, John E., and Maurits Roos. "Using digital-scanned aerial photography for wetlands delineation." In Orlando '91, Orlando, FL, edited by Robert J. Curran, James A. Smith, and Ken Watson. SPIE, 1991. http://dx.doi.org/10.1117/12.45853.

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Prades, Ignacio J., Jorge Nunez, Fernando Perez, Vincenc Pala, and Roman Arbiol. "Aerial photography restoration using the maximum likelihood estimator (MLE) algorithm." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182866.

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Tang, Feifei, Zhimin Ruan, and Li Li. "Application of unmanned aerial vehicle oblique photography in 3D modeling of crag." In Tenth International Conference on Digital Image Processing (ICDIP 2018), edited by Xudong Jiang and Jenq-Neng Hwang. SPIE, 2018. http://dx.doi.org/10.1117/12.2503015.

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Howland, Matthew D., Brady Liss, Mohammad Najjar, and Thomas E. Levy. "GIS-based mapping of archaeological sites with low-altitude aerial photography and structure from Motion: A case study from Southern Jordan." In 2015 Digital Heritage. IEEE, 2015. http://dx.doi.org/10.1109/digitalheritage.2015.7413842.

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Grigoriev, Gleb, Vladimir Gulin, Alexei Nikitin, Nikita Sivoy, Eugene Bondarev, Marat Islamuratov, Oksana Zakharova, Igor Karpov, Evgenii Liubimov, and Vladislav Votsalevskiy. "Integrated Droneborne Geophysics Application as a Tool for Exploration Optimization. Case Studies." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206250-ms.

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Abstract Unmanned aerial vehicles (UAV) have a great potential for geological exploration optimization at all stages. This study considers UAV implementation at different exploration stage. Integrated approach using unmanned aerial systems shows great effectiveness based on the completed surveys. Low-depth electrical exploration using the shallow electrical exploration method is one of the possible UAVs technologies with great potential. In this study there are several cases describing main field data acquisition, models and cross-sections processing. Unmanned aerial systems are applicable at all stages of the oil and gas value chain and are already an integral part of oil&gas production process. Now there are more than 70 unmanned aerial systems application scenarios. The main advantages of drones are that the use of this operational data collection tool allows: – to reduce the duration of collecting geospatial data by 70%, and the cost by 3 times; – make the best decisions quickly; – to realize additional potential for increasing efficiency (application at all stages of the production chain) – increase the production processes safety level The most promising and actively developing areas of technology application are: Geophysical surveys at different stages of geological exploration. Drones have great potential for application in non-seismic exploration methods in the early stages of geological exploration. In addition, UAV surveys are suitable for planning geological exploration and working out the conceptual arrangement of the terrain. The presence of an accurate digital elevation model at the start of work of the project team makes it possible to remove a number of uncertainties and questions about conducting field work on seismic exploration, the placement of infrastructure and corridor communications. Objective control of the capital construction progress. Another important area of drones application is aerial photography at all stages of capital construction. With the help of UAVs, it is possible to control such parameters as the status and quality of construction and installation works, equipment of contractors, compliance with safety and environmental standards, and others. To do this, the unmanned vehicle flies around the object with a given regularity, filming it from different angles. After aerial photography, special software stitches the results into photogrammetric products (digital terrain model, orthophotomaps, 3D models) with an accuracy of 4–6 centimeters. On the constructed models, you can calculate the dynamics by one or another parameter. Operational fieldwork and intrastructure monitoring. At the same time, one of the key goals of technology application is the creation of a network of autonomous stations with drones at all assets for remote control of the company's production processes. The first step in this direction was the joint pilot testing of an automated take-off and landing station with an unmanned aerial vehicle of a multi-rotor type. The use of the station will reduce the time and cost of collecting data on capital construction and infrastructure. Project teams will be able to react faster to changes. An automated take-off and landing station allows the use of unmanned aerial vehicles without human intervention. The drone can independently take off, perform the necessary operations, land and recharge. Thus, flight operations and data collection can be performed remotely without the constant presence of a specialist on site.
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McNeill, Stephen, Kerry Barton, Phil Lyver, and David Pairman. "Semi-automated penguin counting from digital aerial photographs." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6050185.

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Ahmad, Anuar, Lau Chui Leh, and Wani Sofia Udin. "Accuracy assessment of aerial triangulation using different format of aerial photograph and digital photogrammetric software." In 2012 IEEE 8th International Colloquium on Signal Processing & its Applications (CSPA). IEEE, 2012. http://dx.doi.org/10.1109/cspa.2012.6194760.

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Zaborowicz, Maciej, Krzysztof Koszela, Mateusz Łukomski, Piotr Boniecki, Krzysztof Przybył, and Łukasz Gierz. "Design of an effective platform for unmanned aerial vehicles to collect research material in the form of aerial photographs." In Tenth International Conference on Digital Image Processing (ICDIP 2018), edited by Xudong Jiang and Jenq-Neng Hwang. SPIE, 2018. http://dx.doi.org/10.1117/12.2503104.

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Zhan, Zongqian, Yong Zhang, and Zuxun Zhang. "Improving mapping accuracy with digital aerial photograph based on multi-baseline stereo matching." In MIPPR 2005 SAR and Multispectral Image Processing, edited by Liangpei Zhang, Jianqing Zhang, and Mingsheng Liao. SPIE, 2005. http://dx.doi.org/10.1117/12.655013.

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Reports on the topic "Aerial digital photography"

1

Bednarski, J. M., and G. C. Rogers. LiDAR and digital aerial photography of Saanich Peninsula, selected Gulf Islands, and coastal regions from Mill Bay to Ladysmith, southern Vancouver Island, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/291819.

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