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Relevant bibliographies by topics / Aerial photography in zoology

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Academic literature on the topic 'Aerial photography in zoology'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 March 2023

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Journal articles on the topic "Aerial photography in zoology"

1

Hardin, Perry J., and Mark W. Jackson. "An Unmanned Aerial Vehicle for Rangeland Photography." Rangeland Ecology & Management 58, no. 4 (July 2005): 439–42. http://dx.doi.org/10.2111/1551-5028(2005)058[0439:auavfr]2.0.co;2.

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Nisbet, Ian C. T. "Reliability of Aerial Photography for Detecting Population Trends in Gulls." Waterbirds: The International Journal of Waterbird Biology 24, no. 3 (December 2001): 457. http://dx.doi.org/10.2307/1522083.

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Naylor, Bridgett J., Bryan A. Endress, and Catherine G. Parks. "Multiscale Detection of Sulfur Cinquefoil Using Aerial Photography." Rangeland Ecology & Management 58, no. 5 (September 2005): 447–51. http://dx.doi.org/10.2111/1551-5028(2005)58[447:mdoscu]2.0.co;2.

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Petersen, Steven L., Tamzen K. Stringham, and Andrea S. Laliberte. "Classification of Willow Species Using Large-Scale Aerial Photography." Rangeland Ecology & Management 58, no. 6 (November 2005): 582–87. http://dx.doi.org/10.2111/04-129r1.1.

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Fraser, William R., John C. Carlson, Peter A. Duley, Eric J. Holm, and Donna L. Patterson. "Using Kite-Based Aerial Photography for Conducting Adélie Penguin Censuses in Antarctica." Waterbirds: The International Journal of Waterbird Biology 22, no. 3 (1999): 435. http://dx.doi.org/10.2307/1522120.

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Rugh, David J., Howard W. Braham, and Gary W. Miller. "Methods for photographic identification of bowhead whales, Balaena mysticetus." Canadian Journal of Zoology 70, no. 3 (March 1, 1992): 617–24. http://dx.doi.org/10.1139/z92-090.

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Bowhead whales, Balaena mysticetus, have black skin except for patterns of white along their ventral surface and visible dorsally on their lower jaws, caudal peduncles, and flukes. White scar marks may also be present. These contrasting black and white dorsal patterns were examined in 4871 aerial photographs of bowheads taken from 1976 to 1987 to determine if individual animals could be reidentified when subsequently photographed. The objective of making such reidentifications was to provide important life-history information, such as calving intervals, length-specific growth rates, survival rates, and population abundance. This paper describes procedures developed to categorize whales into 20 file types based on the relative extent of visible white markings. Preliminary analysis of the photographic identification system suggests that it has a high potential for use in population studies but only if whale images are of sufficient quality and quantity to allow for multiple reidentifications. High-quality images are best obtained from aerial photographs taken directly above whales in clear water during good to excellent sea-state conditions without glare. This ensures that sufficient characteristic features, if present, are photographed to permit recognition in subsequent photographs.

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Everitt, J. H. "Using Aerial Photography for Detecting Blackbrush [Acacia rigidula] on South Texas Rangelands." Journal of Range Management 38, no. 3 (May 1985): 228. http://dx.doi.org/10.2307/3898972.

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Burton, Frederic J., Patricia E. Bradley, Elizabeth A. Schreiber, Gary A. Schenk, and Richard W. Burton. "Status of Red-footed Boobies Sula sula on Little Cayman, British West Indies." Bird Conservation International 9, no. 3 (September 1999): 227–33. http://dx.doi.org/10.1017/s0959270900003427.

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SummaryThe island of Little Cayman, in the north-west Caribbean, supports a large breeding colony of Red-footed Boobies Sula sula, within a Ramsar site, the Booby Pond Nature Reserve, protected and managed by the National Trust for the Cayman Islands. Comparison of aerial photographs from 1994 and 1997 shows the colony area unchanged over this time period, occupying 16.5 ha. Area sampling yielded an estimate of 4,839 nesting pairs on Little Cayman in 1997, representing c. 30% of the entire Caribbean population for this species. Low mortality and excellent condition of chicks indicated a very successful breeding year with good food availability. Aerial photography proved to be an effective tool for determining the colony area but nests visible on these images did not correlate sufficiently well with ground data to be considered a viable basis for population monitoring. The 1997 census will serve as an important baseline, as Little Cayman is on the brink of explosive real estate development which is likely to have a severe impact on the island's natural resources over the next decade.

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Boyd, W. Sean, and Joseph R. Jehl. "Estimating the Abundance of Eared Grebes on Mono Lake, California, by Aerial Photography." Colonial Waterbirds 21, no. 2 (1998): 236. http://dx.doi.org/10.2307/1521912.

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Chung, Tabris Yik-To, Heysen Hei-Nam Ho, Henry Chun-Lok Tsui, and Brian Chin-Wing Kot. "First Unmanned Aerial Vehicle Observation of Epimeletic Behavior in Indo-Pacific Humpback Dolphins." Animals 12, no. 11 (June 5, 2022): 1463. http://dx.doi.org/10.3390/ani12111463.

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Epimeletic behavior has been reported in various species of cetaceans and sometimes in wild populations during vessel-based surveys. Epimeletic behavior in cetaceans involves complex social interactions which have been described using observational and acoustic studies. The recent advances in unmanned aerial vehicle (UAV) technology allowed its application in wildlife research and frequently in cetaceans in conjunction with vessel-based surveys. This article is the first report of intraspecific epimeletic behavior of Indo-Pacific humpback dolphins (Sousa chinensis) in Hong Kong waters using a combination of UAV- and vessel-based photography. Using both techniques, we were able to observe and qualitative analyze the individual body condition, group behavior, and swimming pattern during the epimeletic event. This study highlighted that UAVs can be used to observe the complex social behaviors and interactions of cetaceans from the aerial angle while keeping a minimal level of disturbance to the animals. Aerial footage can also be quantitatively analyzed to provide further insights on the group behaviors of cetaceans. The application allows efficient assessment of health, behavior, and ecology of wild animals, offering valuable opportunities for researchers working on free-ranging populations.

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Dissertations / Theses on the topic "Aerial photography in zoology"

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Moore, Sue E. "Cetacean habitats in the Alaskan Arctic /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9823707.

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Wolf, Eric B. "Low-cost large scale aerial photography and the Upland South Folk Cemetery a thesis presented to the Department of Geology and Geography in candidacy for the degree of Master of Science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2006. http://www.nwmissouri.edu/library/theses/WolfEricB/index.htm.

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Thesis (M.S.)--Northwest Missouri State University, 2006.
The full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on January 25, 2008) Includes bibliographical references.

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Richards, Daniel L. "Open source UAV platform development for aerial photography." Thesis, California State University, Long Beach, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1587919.

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Aerial photography is an important layer in Geographic Information Systems (GISs), and generally provides the base layer from which many other digital map layers are derived. Capturing these photos from a traditional full-sized airplane is a complex and expensive process. The recent development of Unmanned Aerial Vehicles (UAVs) and associated technology are providing an alternative to the traditional aerial mapping process. UAVs produced by popular commercial vendors are effective at capturing photos, but are highly expensive to acquire, and equally expensive to maintain.

This research project demonstrates the development and successful implementation of a relatively inexpensive ($2000) unmanned aerial vehicle capable of acquiring high-resolution digital aerial photography. The UAV was developed using open source technology and commercially available components. The methods outlined encompass the platform selection, component inventory, design, construction, configuration, implementation, and testing of the UAV, as well as an analysis of the photography produced by the process. This approach can be used by others to implement similar UAV projects.

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Simpson, Andrew David. "DEVELOPMENT OF AN UNMANNED AERIAL VEHICLE FOR LOW-COST REMOTE SENSING AND AERIAL PHOTOGRAPHY." UKnowledge, 2003. http://uknowledge.uky.edu/gradschool_theses/191.

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The paper describes major features of an unmanned aerial vehicle, designed undersafety and performance requirements for missions of aerial photography and remotesensing in precision agriculture. Unmanned aerial vehicles have vast potential asobservation and data gathering platforms for a wide variety of applications. The goalof the project was to develop a small, low cost, electrically powered, unmanned aerialvehicle designed in conjunction with a payload of imaging equipment to obtainremote sensing images of agricultural fields. The results indicate that this conceptwas feasible in obtaining high quality aerial images.

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Gurtner, Alex. "Investigation of fisheye lenses for small UAV aerial photography." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/19323/1/Alex_Gurtner_Final_Thesis.pdf.

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Aerial photography obtained by UAVs (Unmanned Aerial Vehicles) is an emerging market for civil applications. Small UAVs are believed to close gaps in niche markets, such as acquiring airborne image data for remote sensing purposes. Small UAVs will be able to fly at low altitudes, in dangerous environments and over long periods of time. However, the small lightweight constructions of these UAVs lead to new problems, such as higher agility leading to more susceptibility to turbulence and limitations in space and payload for sensor systems. This research investigates the use of low-cost fisheye lenses to overcome such problems which theoretically makes the airborne imaging less sensitive to turbulence. The fisheye lens has the benet of a large observation area (large field of view) and doesn't add additional weight to the aircraft, like traditional mechanical stabilizing systems. This research presents the implementation of a fisheye lens for aerial photography and mapping purposes, including theoretical background of fisheye lenses. Based on the unique feature of the distortion being a function of the viewing angle, methods used to derive the fisheye lens distortion are presented. The lens distortion is used to rectify the fisheye images before these images can be used in aerial photography. A detailed investigation into the inner orientation of the camera and inertial sensor is given, as well as the registration of airborne collected images. It was found that the attitude estimation is critical towards accurate mapping using low quality sensors. A loosely coupled EKF filter applied to the GPS and inertial sensor data estimated the attitude to an accuracy of 3-5° (1-sigma) using low-cost sensors typically found in small UAVs. However, the use of image stitching techniques may improve the outcome. On the other hand, lens distortion caused by the fisheye lens can be addressed by rectification techniques and removed to a sub-pixel level. Results of the process present image sequences gathered from a piloted aircraft demonstrating the achieved performance and potential applications towards UAVs. Further, an unforeseen issue with a vibrating part in the lens lead to the need for vibration compensation. The vibration could be estimated to ±1 pixel in 75% of the cases by applying an extended Hough transform to the fisheye images.

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Gurtner, Alex. "Investigation of fisheye lenses for small UAV aerial photography." Queensland University of Technology, 2008. http://eprints.qut.edu.au/19323/.

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Aerial photography obtained by UAVs (Unmanned Aerial Vehicles) is an emerging market for civil applications. Small UAVs are believed to close gaps in niche markets, such as acquiring airborne image data for remote sensing purposes. Small UAVs will be able to fly at low altitudes, in dangerous environments and over long periods of time. However, the small lightweight constructions of these UAVs lead to new problems, such as higher agility leading to more susceptibility to turbulence and limitations in space and payload for sensor systems. This research investigates the use of low-cost fisheye lenses to overcome such problems which theoretically makes the airborne imaging less sensitive to turbulence. The fisheye lens has the benet of a large observation area (large field of view) and doesn't add additional weight to the aircraft, like traditional mechanical stabilizing systems. This research presents the implementation of a fisheye lens for aerial photography and mapping purposes, including theoretical background of fisheye lenses. Based on the unique feature of the distortion being a function of the viewing angle, methods used to derive the fisheye lens distortion are presented. The lens distortion is used to rectify the fisheye images before these images can be used in aerial photography. A detailed investigation into the inner orientation of the camera and inertial sensor is given, as well as the registration of airborne collected images. It was found that the attitude estimation is critical towards accurate mapping using low quality sensors. A loosely coupled EKF filter applied to the GPS and inertial sensor data estimated the attitude to an accuracy of 3-5° (1-sigma) using low-cost sensors typically found in small UAVs. However, the use of image stitching techniques may improve the outcome. On the other hand, lens distortion caused by the fisheye lens can be addressed by rectification techniques and removed to a sub-pixel level. Results of the process present image sequences gathered from a piloted aircraft demonstrating the achieved performance and potential applications towards UAVs. Further, an unforeseen issue with a vibrating part in the lens lead to the need for vibration compensation. The vibration could be estimated to ±1 pixel in 75% of the cases by applying an extended Hough transform to the fisheye images.

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Buckley, Craig. "Photomosaicing and automatic topography generation from stereo aerial photography." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/790.

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Gombos, Andrew David. "DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_theses/75.

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The recent growth in inexpensive laser scanning sensors has created entire fields of research aimed at processing this data. One application is determining the polygonal boundaries of roofs, as seen from an overhead view. The resulting building outlines have many commercial as well as military applications. My work in this area has created a segmentation algorithm where the descriptive features are computationally and theoretically simpler than previous methods. A support vector machine is used to segment data points using these features, and their use is not common for roof detection to date. Despite the simplicity of the feature calculations, the accuracy of our algorithm is similar to previous work. I also describe a basic polygonal extraction method, which is acceptable for basic roofs.

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Gifford, Eric Allan 1965. "Hough transform extraction of cartographic fiducial marks from aerial photography." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277903.

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Cartographic compilation requires precision mensuration. The calibration of mensuration processes is based on specific fiducials. External fiducials, around the exterior frame of the image, must be precisely measured to establish the overall physical geometry. Internal fiducials are provided within the image by placement of cloth panels on the ground at locations whose position is precisely known. Both types of fiducials must be known within the pixel space of a digitized image in order for the feature extraction process to be accurate with respect to delineated features. Precise mensuration of these fiducials requires that a cartographer view the image on a display and use pointing devices, such as a mouse, to pick the exact point. For accurate fiducial location, the required manual operations can be an added time-consuming task in the feature extraction process. Interactive tools which eliminate the precise pointing action for the operator are described in this thesis. The operator is required only to "box-in" the fiducial, using a simple drawing tool, select the fiducial function, and the software of the tool returns the precise location of the fiducial.

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Fu, Youtong. "Use Of Small Format Aerial Photography in NPS Pollution Control Applications." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/26346.

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An automated procedure was developed to identify and extract confined poultry facilities from color 35-mm slide imagery collected by the United States Department of Agriculture/Farm Service Agency (USDA/FSA). The imagery is used by the USDA/FSA to monitor compliance with various farm support programs and to determine crop production acreage within a given county. The imagery is generally available for all counties within the state on an annual basis. The imagery, however, is not flown to rigid specifications as flight height, direction, and overlap can vary significantly. The USDA/FSA attempts to collect imagery with reasonably clear skies, as visual interpretations could be drastically impacted by cloudiness. The goal of this study was to develop procedures to effectively utilize this imagery base to identify and extract poultry facilities using automated techniques based on image processing and GIS. The procedure involved pre-screening the slides to determine coverage, geopositioning to USGS quadrangle base, color scanning to convert slide image to a digital format and archiving each data file with a naming convention that would allow rapid retrieval in later analysis. Image processing techniques were developed for identifying poultry facilities based on spectral characteristics. GIS tools were used to select poultry facilities from an array of features with similar spectral characteristics. A training data set was selected from which the spectral characteristics of poultry facilities were analyzed and compared with background conditions. Poultry facilities were found to have distinguishable characteristics. Descriptive statistics were used to define the range of spectral characteristics encompassing poultry facilities. Thresholding analyses were then utilized to eliminate all image features with spectral characteristics outside of this range. Additional analyses were made to remove noise in the spectral image due to the sun angle, line of sight of camera, variation in roof reflectance due to rust and/or aging, shading by trees, etc. A primary objective in these analyses was to enhance the spectral characteristics for the poultry facility while, at the same time, retaining physical characteristics, i.e. the spectral characteristic is represented by a single blue color with a high brightness value. The techniques developed to achieve a single blue color involved the use of Principal Component Analysis (PCA) on the red color band followed by RGB to Hue and RGB to Saturation analyses on the red and green color bands, respectively, from the resulting image. The features remaining from this series of analyses were converted into polygons (shape file) using ArcView GIS, which was then used to calculate the area and perimeter of each polygon. The parameters utilized to describe the shape of a poultry house included width, length, compactness, length-width ratio, and polygon centroid analysis. Poultry facilities were found to have an average width of approximately 12.6m with a low standard deviation indicating that the widths of all houses were very similar. The length of poultry facilities ranged from 63m to 261m with and average length of 149m. The compactness parameter, which also is related to length and width, ranged from 30 to 130 with a mean value of approximately 57. The shape parameters were used by ArcView GIS to identify polygons that represent poultry facilities. The order of selection was found to be compactness followed by length-width ratio and polygon centroid analysis. A data set that included thirty 35-mm slide images randomly selected from the Rockingham County data set, which contained over 2000 slides, was used to evaluate the automated procedure. The slides contained 182 poultry houses previously identified through manual procedures. Seven facilities were missed and 175 were correctly identified. Ninety-seven percent (97%) of existing poultry facilities were correctly identified which compares favorably with the 97 % accuracy resulted by manual procedures. . The manual procedure described by Mostaghimi, et. al.(1999) only gave the center coordinates for each poultry facility. The automated procedure not only gives the center coordinate for each poultry building but also gives estimates for geometric parameters area, length and width along with an estimate of the capacity of building (i.e. number of birds), and waste load generated by birds including nutrient and bacteria content. The nutrient and bacteria load generated by each poultry facility is important information for conducting TMDL studies currently being developed for impaired Virginia streams. The information is expected to be very helpful to consultants and state agencies conducting the studies. Agricultural support agencies such as USDA/NRCS and USDA/FSA, Extension Service, consultants, etc. will find the information very helpful in the development of implementation plans designed to meet TMDL target water quality goals. The data also should be useful to Water Authorities for selection of appropriate treatment of water supplies and to county and local government jurisdictions for developing policies to minimize the degradation of water supplies.
Ph. D.

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Books on the topic "Aerial photography in zoology"

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R, Gilbert J., and U.S. Fish and Wildlife Service. Region 7. Marine Mammals Management, eds. Aerial census of Pacific walrus, 1990. Anchorage, AK (1011 E. Tudor Rd., Anchorage 99508): Marine Mammals Management, U.S. Fish and Wildlife Service, Region 7, 1992.

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Gilpatrick, James W. A test of two photogrammetric measuring instruments used to determine dolphin lengths from vertical aerial photographs. [La Jolla, Calif.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southwest Fisheries Science Center, 1994.

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Réhaume, Courtois, Québec (Province). Direction de la faune et des habitats., and Québec (Province). Ministère de l'environnement et de la faune. Direction des affaires régionales., eds. Révision des programmes d'inventaires aériens des grands cervidés. Québec: Ministère de l'environnement et de la faune, 1996.

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Potvin, François. L' habitat hivernal du cerf sur l'Île d'Anticosti défini à partir des inventaires aériens de 1998, 1999 et 2000. Québec: Société de la faune et des parcs du Québec, 2002.

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Breton, Laurier. Normes d'inventaire aérien des populations de cerf de Virginie. Québec: Ministère de l'environnement et de la faune, 1997.

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Breton, Laurier. Bilan du programme quinquennal d'inventaire aérien des populations de cerf de Virginie (1991-1992 à 1995-1996). Québec: Ministère de l'environnement et de la faune, 1997.

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Goodman, M. April. Protected species aerial survey data collection and analysis in waters underlying the R-5306A airspace: Final report submitted to U.S. Marine Corps, MCAS Cherry Point. Beaufort, NC: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, 2007.

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Lloyd, Harvey. Aerial photography. New York: Amphoto, 1990.

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Aerial photography. New York: Amphoto, 1990.

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Burns, Joanne. Aerial photography. Wollongong University, N.S.W: Five Islands Press, 1999.

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Book chapters on the topic "Aerial photography in zoology"

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Guthrie, Richard. "Aerial Photography." In Selective Neck Dissection for Oral Cancer, 1–6. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-12127-7_7-1.

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Guthrie, Richard. "Aerial Photography." In Selective Neck Dissection for Oral Cancer, 1–6. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-12127-7_7-2.

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Hangay, George, Severiano F. Gayubo, Marjorie A. Hoy, Marta Goula, Allen Sanborn, Wendell L. Morrill, Gerd GÄde, et al. "Aerial Photography." In Encyclopedia of Entomology, 53. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_84.

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Mancini, Keith, and John Sidoriak. "Aerial Photography." In Fundamentals of Forensic Photography, 129–51. New York : Routledge, 2017. | Series: Applications in scientific photography: Routledge, 2017. http://dx.doi.org/10.4324/9781315693125-7.

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Guthrie, Richard. "Aerial Photography." In Encyclopedia of Earth Sciences Series, 8–13. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73568-9_7.

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Schmidt, Dietmar, and Friedrich Kühn. "Aerial Photography." In Environmental Geology, 23–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74671-3_3.

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Aldred, Oscar. "The Aerial Imagination." In Archaeology and Photography, 193–208. London; New York: Bloomsbury Visual Arts, 2019. |: Routledge, 2020. http://dx.doi.org/10.4324/9781003103325-11.

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Ceraudo, Giuseppe. "Aerial Photography in Archaeology." In Natural Science in Archaeology, 11–30. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01784-6_2.

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Gilbertson, D. D., M. Kent, and F. B. Pyatt. "Aerial photography and satellite imagery." In Practical Ecology for Geography and Biology, 176–93. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-1415-8_10.

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Hopley, David. "Aerial Photography of Coral Reefs." In Encyclopedia of Modern Coral Reefs, 13–15. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2639-2_282.

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Conference papers on the topic "Aerial photography in zoology"

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Ferreira, Michel, Hugo Conceição, Ricardo Fernandes, and Ozan K. Tonguz. "Stereoscopic aerial photography." In the sixth ACM international workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1614269.1614279.

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Onyett, Samuel. "Kite Aerial Photography and Unmanned Aerial Systems." In 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC). IEEE, 2022. http://dx.doi.org/10.1109/dasc55683.2022.9925791.

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Sattar, Naw Safrin, Muhammad Abdullah Adnan, and Maimuna Begum Kali. "Secured aerial photography using Homomorphic Encryption." In 2017 International Conference on Networking, Systems and Security (NSysS). IEEE, 2017. http://dx.doi.org/10.1109/nsyss.2017.7885810.

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Yu, Xinle, Zhanxin Yang, and Chao Chen. "An OFDM Transmission System for Aerial photography." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5305836.

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Tiziani, Hans J. "Measurement of image disturbance in aerial photography." In 8th Meeting in Israel on Optical Engineering, edited by Moshe Oron, Itzhak Shladov, and Yitzhak Weissman. SPIE, 1993. http://dx.doi.org/10.1117/12.150990.

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Shi, Lijuan, Yuanyuan Sun, Jian Zhao, Shuai Han, Jingxiao Bi, and Wenhua Dong. "3D Modeling Based on UAV Aerial Photography." In 2020 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2020. http://dx.doi.org/10.1109/icvrv51359.2020.00065.

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Knowles, James, James J. Pearson, Brian Ringer, and Joan B. Lurie. "Model-based object recognition in aerial photography." In Interdisciplinary Computer Vision: Applications and Changing Needs--22nd AIPR Workshop, edited by J. Michael Selander. SPIE, 1994. http://dx.doi.org/10.1117/12.169474.

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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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Murray, John C., Nark J. Neal, and Frederic Labrosse. "Intelligent Kite Aerial Platform for Site Photography." In 2007 IEEE International Conference on Automation Science and Engineering. IEEE, 2007. http://dx.doi.org/10.1109/coase.2007.4341813.

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Dimitrov, Kalin, Iliyan Damyanov, Durhan Saliev, and Tsvetan Valkovski. "Pasture Research Using Aerial Photography and Photogrammetry." In 2021 29th National Conference with International Participation (TELECOM). IEEE, 2021. http://dx.doi.org/10.1109/telecom53156.2021.9659796.

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Reports on the topic "Aerial photography in zoology"

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DeRaps, M. R., and N. E. M. Kinsman. Spatially referenced oblique aerial photography of the Golovin shoreline, July 2012. Alaska Division of Geological & Geophysical Surveys, October 2012. http://dx.doi.org/10.14509/24465.

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DeRaps, M. R., and N. E. M. Kinsman. Spatially referenced oblique aerial photography of the Eastern Norton Sound shoreline, July 2011. Alaska Division of Geological & Geophysical Surveys, February 2012. http://dx.doi.org/10.14509/23143.

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Lannom, Keith B., David L. Evans, and Zhiliang Zhu. Comparison of AVHRR classification and aerial photography interpretation for estimation of forest area. New Orleans, LA: U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station, 1995. http://dx.doi.org/10.2737/so-rp-292.

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Christel, L. M. Using historical aerial photography and softcopy photogrammetry for waste unit mapping in L Lake. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/658133.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: dune. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314945.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: esker. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314947.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: moraine. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314951.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: pingo. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314961.

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Provencher, L., and J. M. Dubois. Interpretation guide of natural geographic features from ETM+ Landsat imagery and aerial photography: reef. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/314963.

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Fyfield, Paul. Transportation and Land Use Patterns: Monitoring Urban Change Using Aerial Photography, Portland, Oregon 1925-1945. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2239.

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