Relevant bibliographies by topics / Aerial photography Remote sensing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Aerial photography Remote sensing'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Aerial photography Remote sensing"

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Mohamed Ali, Abbas Sayed Ahmed, and Ahmed Abu Al Qasim Al Hassan. "Remote Sensing and Its Uses in Archeology." Journal of Arts and Social Sciences [JASS] 2, no. 1 (January 1, 2011): 5. http://dx.doi.org/10.24200/jass.vol2iss1pp5-25.

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Aerial photography, remote sensing technique has been used as a tool for acquisition of archaeological information for several decades. At the turn of the twentieth century, archaeologists realized that valuable archaeological data could be extracted from aerial photos, thus it has been developed into a systematic discipline known as aerial archaeology. Though aerial photography has a long history of use, Satellite remote sensing is a recent discipline applied in detection, mapping and analysis of archaeological matter, providing that the spatial resolution of the sensor is adequate to detect the features. Both aerial photography and satellite imagery have advantages and limitations with regard to archaeological applications. In the last few years, combination of the two was found to be ideal for archaeological remote sensing applications. Remote sensing has increased in importance to archaeology, as being an important close integrator with Geographic Information Systems. Remote sensing and its kindred tool of GIS have become central elements of modern spatial information and analysis system in archaeology.
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Dando, R. C. A. "ROYAL PHOTOGRAPHIC SOCIETY ACTIVITIES IN AERIAL PHOTOGRAPHY AND REMOTE SENSING." Photogrammetric Record 14, no. 79 (August 26, 2006): 129–30. http://dx.doi.org/10.1111/j.1477-9730.1992.tb00212.x.

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Friedman, Richard A., Anna Sofaer, and Robert S. Weiner. "Remote Sensing of Chaco Roads Revisited." Advances in Archaeological Practice 5, no. 4 (September 12, 2017): 365–81. http://dx.doi.org/10.1017/aap.2017.25.

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ABSTRACTThis paper reports on the first and highly effective use of Light Detection and Ranging (lidar) technology to document Chaco roads, monumental linear surface constructions of the precolumbian culture that occupied the Four Corners region of the American Southwest between approximately AD 600 and 1300. Analysis of aerial photographs supplemented by ground survey has been the traditional methodology employed to identify Chaco roads, but their traces have become increasingly subtle and difficult to detect in recent years due to the impacts of natural weathering, erosion, and land development. Roads that were easily visible in aerial photography and on the ground in the 1980s are now virtually invisible, underscoring the need for new, cutting-edge techniques to detect and document them. Using three case studies of the Aztec Airport Mesa Road, the Great North Road, and the Pueblo Alto Landscape, we demonstrate lidar's unprecedented ability to document known Chaco roads, discover previously undetected road segments, and produce a precise quantitative record of these rapidly vanishing features.
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Amos, E. M., D. Blakeway, and C. D. Warren. "Remote Sensing Techniques in Civil Engineering Surveys." Geological Society, London, Engineering Geology Special Publications 2, no. 1 (1986): 119–24. http://dx.doi.org/10.1144/gsl.1986.002.01.26.

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AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.
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Mastelic, Toni, Josip Lorincz, Ivan Ivandic, and Matea Boban. "Aerial Imagery Based on Commercial Flights as Remote Sensing Platform." Sensors 20, no. 6 (March 17, 2020): 1658. http://dx.doi.org/10.3390/s20061658.

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Remote sensing is commonly performed via airborne platforms such as satellites, specialized aircraft, and unmanned aerial systems (UASs), which perform airborne photography using mounted cameras. However, they are limited by their coverage (UASs), irregular flyover frequency (aircraft), and/or low spatial resolution (satellites) due to their high altitude. In this paper, we examine the utilization of commercial flights as an airborne platform for remote sensing. Namely, we simulate a situation where all aircraft on commercial flights are equipped with a mounted camera used for airborne photography. The simulation is used to estimate coverage, the temporal and spatial resolution of aerial imagery acquired this way, as well as the storage capacity required for storing all imagery data. The results show that Europe is 83.28 percent covered with an average of one aerial photography every half an hour and a ground sampling distance of 0.96 meters per pixel. Capturing such imagery results in 20 million images or four petabytes of image data per day. More detailed results are given in the paper for separate countries/territories in Europe, individual commercial airlines and alliances, as well as three different cameras.
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Zhao, Ling Li, Shuai Liu, and Li Ma. "Data Acquisition Considering of Fixed-Wing UAVs in Mountainous Areas." Applied Mechanics and Materials 543-547 (March 2014): 2151–54. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2151.

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Over the past decade, there has been a great demand of Unmanned Aerial Vehicles (UAVs) in numerous industrial and military operations around the world. This paper is focused on low fixed-wing UAV remote sensing system, put remote sensing technology and UAV technology closely to fixed-wing unmanned aircraft as a platform, which is equipped with high-resolution digital remote sensing sensors, it has easy transition since the airport does not depend on landing site, it is a new low-speed high-resolution remote sensing data acquisition system. It has capability of a survey of real-time quick monitoring, and has been an effective complement to conventional means for satellite remote sensing and aerial photography.
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Chen, Rong. "Application of UAV-Low Altitude Remote Sensing System in Sea Area Supervision." Earth Sciences Research Journal 25, no. 1 (April 16, 2021): 65–68. http://dx.doi.org/10.15446/esrj.v25n1.94162.

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The sea area supervision is the premise and guarantee of safeguarding national security, protecting national sovereignty, and realizing the development of marine resources, and its importance is self-evident. To carry out the national sea area work more efficiently, this study designed low altitude-Unmanned Aerial Vehicles (UAV) remote sensing system applied to the sea area supervision and analyzed the remote sensing photography technology and remote sensing image processing technology. Experiments verified the effectiveness of the system. The research results show that the UAV-based low altitude remote sensing system can extract high-precision sea area information through aerial images’ interpretation. It is hoped that this study can provide some reference for improving the efficiency of current sea area supervision.
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Menges, R. M., P. R. Nixon, and A. J. Richardson. "Light Reflectance and Remote Sensing of Weeds in Agronomic and Horticultural Crops." Weed Science 33, no. 4 (July 1985): 569–81. http://dx.doi.org/10.1017/s0043174500082862.

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Plant canopy reflectance over the 0.45- to 1.25-μm wavelength (WL) of weed species and crops was recorded with a field spectroradiometer to evaluate the possible use of remote sensing to distinguish weeds from crops. Weed and weed-crop species reflectance differences were generally greater at the 0.85 μm WL in the near-infrared spectral region than at the 0.55 μm WL in the visible region, indicating that color infrared (CIR) aerial photography may be useful to detect weed populations in crops. Canopy reflectance data were more directly related to photographic differences in weed-crop images than were single leaf or inflorescence reflectance data. Aerial photography at altitudes of 610 to 3050 m distinguished climbing milkweed (Sarcostemma cyancboides♯ SAZCY) in orange [Citrus sinensis(L.) Osbeck. ‘Valencia’) trees; ragweed parthenium (Parthenium hysterophorusL. ♯ PTNHY) in carrot (Daucus carotaL., var.sativa‘Long Imperator’); johnsongrass [Sorghum halepense(L.) Pers. ♯ SORHA) in cotton (Gossypium hirsutumL. ‘CP 3774’) and in sorghum (Sorghum bicolorL. Moench. ‘Oro’); London rocket (Sisymbrium irioL. ♯ SSYIR) in cabbage; and Palmer amaranth (Amaranthus palmeriS. Wats. ♯ AMAPA) in cotton. Johnsongrass was also detectable with CIR film in maturing grain sorghum from 18 290 m. Detection of weed species in crops was aided by differential stages of inflorescence and senescence, and by the chlorophyll content, color, area, intercellular space, and surface characteristics of the leaves. Discrete plant community areas were determined by computer-based image analyses from a 1:8000-scale positive transparency with the efficiency of 82, 81, 68, and 100% for Palmer amaranth, johnsongrass, sorghum, and cotton, respectively. The computer analyses should permit discrete aerial surveys of weed-crop communities that are necessary for integrated crop management systems.
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Ermolin, Evgeniy, Hernán De Angelis, and Pedro Skvarca. "Mapping of permafrost on Vega Island, Antarctic Peninsula, using satellite images and aerial photography." Annals of Glaciology 34 (2002): 184–88. http://dx.doi.org/10.3189/172756402781817824.

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AbstractThe work presented deals with detailed mapping of permafrost in Devil Bay, Vega Island, northeastern Antarctic Peninsula. Mapping of landforms and permafrost features within a periglacial plain was performed using high resolution visible satellite images and aerial photography. Two maps of permafrost were produced: one based on analysis and interpretation of visible satellite imagery and another on low-altitude aerial photography, both yielding similar results. The principles of morphogenesis were applied to map production, distinguishing both the syncryogenic and epicryogenic formations and each constitutive cryofacies. The interpretation of remote-sensing data allowed areas of occurrence of particular cryogenic processes to be defined. Remote sensing was found to be useful for permafrost mapping at both medium and large scales, and applicable for future extension to other regions in Antarctica.
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Praseno, Djoko P., and Sukarno. "OBSERVATION ON BEACH EROSION AND CORAL DESTRUCTION BY REMOTE SENSING TECHNIQUES." Marine Research in Indonesia 17 (May 10, 2018): 59–68. http://dx.doi.org/10.14203/mri.v17i0.351.

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Remote sensing techniques were used to observe beach erosion at Sengkidu Beach, Labuan Amuk, east coast of Bali. Erosion was caused by wave actions flowing over destructed coral reef. Aerial photography was found useful in obtaining first hand information of the destructed corals and its affects on the beach.
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Dissertations / Theses on the topic "Aerial photography Remote sensing"

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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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Park, Keith Marron. "The global-to-local search method: A systematic search procedure that uses the context of the textured layout to locate and detect low-contrast targets in aerial images." CSUSB ScholarWorks, 1993. https://scholarworks.lib.csusb.edu/etd-project/700.

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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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Niu, Xutong. "Highway extraction from high resolution aerial photography using a geometric active contour model." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1101833084.

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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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Blinn, Christine Elizabeth. "Estimation of Important Scenic Beauty Covariates from Remotely Sensed Data." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33656.

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The overall objective of this study was to determine if remotely sensed data could be used to model scenic beauty. Terrestrial digital images from within forest stands located in Prince Edward Gallion State Forest near Farmville, Virginia were rated for their scenic beauty by a group of students to obtain scenic beauty estimates (SBEs). Since the inter-rater reliability was low for the SBEs, they were not used in the modeling efforts. Instead, stand parameters (collected on tenth acre plots) that have been used in scenic beauty prediction models, like mean diameter at breast height (dbh), were the dependent variables in regression analyses. A color-infrared aerial photograph from the National Aerial Photography Program (NAPP) was scanned to achieve a pixel ground resolution of one meter. The digital aerial photograph was rectified and used as the remotely sensed data. Since the aerial photograph was taken in April, only conifer stands were used in the analyses. Summary statistics were obtained from a 23 by 23 window around plot locations in three images: the original image, a texture image created with the variance algorithm and a 7x7 window, and the first principal component image. The summary statistics were used as the independent variables in regression analyses. The mean texture digital number for the green band predicted the mean dbh of a plot with an R2 of 0.623. A maximum of 44.3 and 27.4 percent of the variability in trees per acre and basal area per acre, respectively, was explained by the models developed in this study. It seems unlikely that the remotely sensed forest stand variables would perform well as surrogates for field measurements used in scenic quality models.
Master of Science
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Holmström, Hampus. "Data acquisition for forestry planning by remote sensing based sample plot imputation /." Umeå : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 2001. http://epsilon.slu.se/avh/2001/91-576-6086-7.pdf.

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Rosenberg, Abigail Stella. "An Evaluation of a UAV Guidance System with Consumer Grade GPS Receivers." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/194506.

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Remote sensing has been demonstrated an important tool in agricultural and natural resource management and research applications, however there are limitations that exist with traditional platforms (i.e., hand held sensors, linear moves, vehicle mounted, airplanes, remotely piloted vehicles (RPVs), unmanned aerial vehicles (UAVs) and satellites). Rapid technological advances in electronics, computers, software applications, and the aerospace industry have dramatically reduced the cost and increased the availability of remote sensing technologies.Remote sensing imagery vary in spectral, spatial, and temporal resolutions and are available from numerous providers. Appendix A presented results of a test project that acquired high-resolution aerial photography with a RPV to map the boundary of a 0.42 km2 fire area. The project mapped the boundaries of the fire area from a mosaic of the aerial images collected and compared this with ground-based measurements. The project achieved a 92.4% correlation between the aerial assessment and the ground truth data.Appendix B used multi-objective analysis to quantitatively assess the tradeoffs between different sensor platform attributes to identify the best overall technology. Experts were surveyed to identify the best overall technology at three different pixel sizes.Appendix C evaluated the positional accuracy of a relatively low cost UAV designed for high resolution remote sensing of small areas in order to determine the positional accuracy of sensor readings. The study evaluated the accuracy and uncertainty of a UAV flight route with respect to the programmed waypoints and of the UAV's GPS position, respectively. In addition, the potential displacement of sensor data was evaluated based on (1) GPS measurements on board the aircraft and (2) the autopilot's circuit board with 3-axis gyros and accelerometers (i.e., roll, pitch, and yaw). The accuracies were estimated based on a 95% confidence interval or similar methods. The accuracy achieved in the second and third manuscripts demonstrates that reasonably priced, high resolution remote sensing via RPVs and UAVs is practical for agriculture and natural resource professionals.
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Aqdus, Syed Ali. "Airborne multispectral and hyperspectral remote sensing techniques in archaeology a comparative study /." Thesis, Thesis restricted. Connect to e-thesis to view abstract, 2009. http://theses.gla.ac.uk/812/.

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Thesis (Ph.D.) - University of Glasgow, 2009.
Ph.D. thesis submitted to the Faculty of Physical Sciences, Department of Geographical and Earth Sciences and the Faculty of Arts, Department of Archaeology, University of Glasgow, 2009. Includes bibliographical references. Print version also available.
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Metzler, Jacob W. "Use of Multi-temporal IKONOS and LANDSAT ETM+ Satellite Imagery to Determine Forest Stand Conditions in Northern Maine." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/MetzlerJW2004.pdf.

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Books on the topic "Aerial photography Remote sensing"

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1943-, Berlin Graydon Lennis, and Avery Thomas Eugene, eds. Fundamentals of remote sensing and airphoto interpretation. 5th ed. New York: Macmillan, 1992.

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Avery, Thomas Eugene. Fundamentals of remote sensing and air photo interpretation. 5th ed. Upper Saddle River, NJ: Prentice Hall, 1992.

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Forest Service Remote Sensing Applications Conference (4th 1992 Orlando, Fla.). Remote sensing & natural resource management. Edited by Greer Jerry, United States Forest Service, John F. Kennedy Space Center, and American Society for Photogrammetry and Remote Sensing. Falls Church, VA: American Society for Photogrammetry and Remote Sensing, 1992.

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Forest, Service Remote Sensing Applications Conference (4th 1992 Orlando Fla ). Remote sensing & natural resource management. Falls Church, VA: American Society for Photogrammetry and Remote Sensing, 1992.

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Marcolongo, Bruno. Photogeology: Remote sensing applications in earth science. Enfield, NH: Science Publishers, Inc., 1997.

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Kuchko, A. S. Aėrofotografii͡a︡ i spet͡s︡ialʹnye fotograficheskie issledovanii͡a︡. Moskva: "Nedra", 1988.

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Zhongguo ke xue yuan. Yao gan ying yong yan jiu suo, ed. Kong jian yao gan tu xiang di fen xi ying yong. [Peking]: Guo fang gong ye chu ban she, 1985.

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Interpretation of airphotos and remotely sensed imagery. Upper Saddle River, NJ: Prentice Hall, 1997.

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Drager, Dwight L. Remote sensing: Photogrammetry in archeology : the Chaco Mapping Project. Albuquerque, N.M: Branch of Remote Sensing, Cultural Resources Management, National Park Service, U.S. Dept. of the Interior, 1985.

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Wang, Chih-cho. Principles of photogrammetry (with remote sensing). Edited by Song Yidong, Wang Jixian, Zhang Benlian, and Wu-han tsʻe hui kʻo chi ta hsüeh. Beijing: Press of Wuhan Technical University of Surveying and Mapping, Publishing House of Surveying and Mapping, 1990.

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Book chapters on the topic "Aerial photography Remote sensing"

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Benson, Richard C., and Lynn B. Yuhr. "Aerial Photography and Remote Sensing Data." In Site Characterization in Karst and Pseudokarst Terraines, 133–43. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-9924-9_14.

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Hall, Ronald J. "The Roles of Aerial Photographs in Forestry Remote Sensing Image Analysis." In Remote Sensing of Forest Environments, 47–75. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0306-4_3.

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Zhang, Caiyun, Sara Denka, and Deepak R. Mishra. "Mapping freshwater marsh species in the wetlands of Lake Okeechobee using very high-resolution aerial photography and lidar data." In Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems, 4–22. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003191193-1.

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Gupta, Ravi Prakash. "Photography." In Remote Sensing Geology, 53–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05283-9_4.

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Gupta, Ravi Prakash. "Photography." In Remote Sensing Geology, 35–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-12914-2_4.

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Gupta, Ravi P. "Photography." In Remote Sensing Geology, 37–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55876-8_4.

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Shekhar, Shashi, and Hui Xiong. "Remote Sensing, Aerial." In Encyclopedia of GIS, 957. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1115.

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Cochran, Susan A. "Photography Applications." In Coral Reef Remote Sensing, 29–49. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-90-481-9292-2_2.

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Perez Ruiz, Manuel, and Jorge Martinez Guanter. "Remote sensing." In Manuali – Scienze Tecnologiche, 18. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.18.

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Unmanned Aerial Vehicles (UAVs) are becoming a common tool in Precision Agriculture. Combined with different sensors and devices, UAVs can be capturing high geo-referenced resolution images and enable the acquisition of real-time crop-related data. We will go through the main typologies and characteristics of UAVs, different sensors and utilities and other applications of UAVs in agriculture.
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Li, Jonathan, and Haiyan Guan. "3D Building Reconstruction from Airborne Lidar Point Clouds Fused with Aerial Imagery." In Urban Remote Sensing, 75–91. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470979563.ch6.

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Conference papers on the topic "Aerial photography Remote sensing"

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Tartara, Patrizia. "Aerial monitoring and environmental protection: aerial photography as an instrument for checking landscape damage." In SPIE Europe Remote Sensing, edited by Ulrich Michel and Daniel L. Civco. SPIE, 2009. http://dx.doi.org/10.1117/12.830576.

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Tartara, Patrizia. "Historical and modern aerial photography for cultural heritage and environmental knowledge." In SPIE Remote Sensing, edited by Ulrich Michel, Daniel L. Civco, Manfred Ehlers, and Hermann J. Kaufmann. SPIE, 2008. http://dx.doi.org/10.1117/12.801284.

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Teodoro, Ana, Joaquim Pais-Barbosa, Francisco Piqueiro, and Ricardo Aguiar. "Quantitative and qualitative coastal water quality parameters monitoring using field data and aerial photography: Porto (Portugal) beaches." In Remote Sensing, edited by Ulrich Michel and Daniel L. Civco. SPIE, 2010. http://dx.doi.org/10.1117/12.864568.

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Obanawa, Hiroyuki, and Seiichi Sakanoue. "Conditions of Aerial Photography to Reduce Doming Effect." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9324666.

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Mason, David C., Hai-Jing Wang, and Bharat Lohani. "Extraction of tidal channel networks from airborne scanning laser altimetry and aerial photography." In International Symposium on Remote Sensing, edited by Sebastiano B. Serpico. SPIE, 2003. http://dx.doi.org/10.1117/12.463200.

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Tartara, Patrizia. "Historical aerial photographs: the territory of Caere." In SPIE Remote Sensing, edited by Ulrich Michel, Daniel L. Civco, Manfred Ehlers, and Hermann J. Kaufmann. SPIE, 2008. http://dx.doi.org/10.1117/12.800282.

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Wang, Shengke, Long Chen, Jianping Yang, Caixia Wang, Muwei Jian, Lifang Lin, and Junyu Dong. "Ocean internal waves features extraction by analysis of aerial oblique photography." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729304.

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Salotti, Marc, and Nabil Laachfoubi. "Aerial photographs to help prediction of fire propagation." In Satellite Remote Sensing III, edited by Giovanna Cecchi, Guido D'Urso, Edwin T. Engman, and Preben Gudmandsen. SPIE, 1997. http://dx.doi.org/10.1117/12.264256.

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Wang, Gang, Dongmei Yan, and Yang Yang. "An automatic stain removal algorithm of series aerial photograph based on flat-field correction." In Remote Sensing, edited by Lorenzo Bruzzone. SPIE, 2010. http://dx.doi.org/10.1117/12.864951.

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Jenerowicz, Agnieszka, Katarzyna Siok, Anna Schismak, and Ireneusz Ewiak. "Improvement of interpretability of archival aerial photographs using remote sensing tools." In Image and Signal Processing for Remote Sensing, edited by Lorenzo Bruzzone, Francesca Bovolo, and Jon Atli Benediktsson. SPIE, 2018. http://dx.doi.org/10.1117/12.2325813.

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Reports on the topic "Aerial photography Remote sensing"

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Labson, V. F., L. Pellerin, and W. L. Anderson. Aerial remote sensing surveys, geophysical characterization. Final report. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/607530.

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Riedhauser, S. R. Capabilities of the DOE Remote Sensing Laboratory`s aerial measuring system. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/164893.

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Doll, W. E., J. E. Nyquist, A. D. King, D. T. Bell, J. S. Holladay, V. F. Labson, and L. Pellerin. Aerial remote sensing surveys progress report: Helicopter geophysical survey of the Oak Ridge Reservation. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/10145088.

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Robert Paul Breckenridge. Improving Rangeland Monitoring and Assessment: Integrating Remote Sensing, GIS, and Unmanned Aerial Vehicle Systems. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/978362.

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Doll, W. E., J. E. Nyquist, A. D. King, D. T. Bell, J. S. Holladay, V. F. Labson, and L. Pellerin. Aerial remote sensing surveys progress report: Helicopter geophysical survey of the Oak Ridge Reservation. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/6532219.

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Smyre, J. L., M. E. Hodgson, B. W. Moll, A. L. King, and Yang Cheng. Daytime multispectral scanner aerial surveys of the Oak Ridge Reservation, 1992--1994: Overview of data processing and analysis by the Environmental Restoration Remote Sensing Program, Fiscal year 1995. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/204019.

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Douglas, Thomas A., Christopher A. Hiemstra, Stephanie P. Saari, Kevin L. Bjella, Seth W. Campbell, M. Torre Jorgenson, Dana R. N. Brown, and Anna K. Liljedahl. Degrading Permafrost Mapped with Electrical Resistivity Tomography, Airborne Imagery and LiDAR, and Seasonal Thaw Measurements. U.S. Army Engineer Research and Development Center, July 2021. http://dx.doi.org/10.21079/11681/41185.

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Abstract:
Accurate identification of the relationships between permafrost extent and landscape patterns helps develop airborne geophysical or remote sensing tools to map permafrost in remote locations or across large areas. These tools are particularly applicable in discontinuous permafrost where climate warming or disturbances such as human development or fire can lead to rapid permafrost degradation. We linked field-based geophysical, point-scale, and imagery surveying measurements to map permafrost at five fire scars on the Tanana Flats in central Alaska. Ground-based elevation surveys, seasonal thaw-depth profiles, and electrical resistivity tomography (ERT) measurements were combined with airborne imagery and light detection and ranging (LiDAR) to identify relationships between permafrost geomorphology and elapsed time since fire disturbance. ERT was a robust technique for mapping the presence or absence of permafrost because of the marked difference in resistivity values for frozen versus unfrozen material. There was no clear relationship between elapsed time since fire and permafrost extent at our sites. The transition zone boundaries between permafrost soils and unfrozen soils in the collapse-scar bogs at our sites had complex and unpredictable morphologies, suggesting attempts to quantify the presence or absence of permafrost using aerial measurements alone could lead to incomplete results. The results from our study indicated limitations in being able to apply airborne surveying measurements at the landscape scale toward accurately estimating permafrost extent.
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Bodie, Mark, Michael Parker, Alexander Stott, and Bruce Elder. Snow-covered obstacles’ effect on vehicle mobility. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38839.

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The Mobility in Complex Environments project used unmanned aerial systems (UAS) to identify obstacles and to provide path planning in forward operational locations. The UAS were equipped with remote-sensing devices, such as photogrammetry and lidar, to identify obstacles. The path-planning algorithms incorporated the detected obstacles to then identify the fastest and safest vehicle routes. Future algorithms should incorporate vehicle characteristics as each type of vehicle will perform differently over a given obstacle, resulting in distinctive optimal paths. This study explored the effect of snow-covered obstacles on dynamic vehicle response. Vehicle tests used an instrumented HMMWV (high mobility multipurpose wheeled vehicle) driven over obstacles with and without snow cover. Tests showed a 45% reduction in normal force variation and a 43% reduction in body acceleration associated with a 14.5 cm snow cover. To predict vehicle body acceleration and normal force response, we developed two quarter-car models: rigid terrain and deformable snow terrain quarter-car models. The simple quarter models provided reasonable agreement with the vehicle test data. We also used the models to analyze the effects of vehicle parameters, such as ground pressure, to understand the effect of snow cover on vehicle response.
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