Academic literature on the topic 'Aerial videography Remote sensing'

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Journal articles on the topic "Aerial videography Remote sensing"

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Everitt, James H., James V. Richerson, Mario A. Alaniz, David E. Escobar, Ricardo Villarreal, and Michael R. Davis. "Light Reflectance Characteristics and Remote Sensing of Big Bend Loco (Astragalus mollissimusvar.earlei) and Wooton Loco (Astragalus wootonii)." Weed Science 42, no. 1 (March 1994): 115–22. http://dx.doi.org/10.1017/s0043174500084265.

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The high near-infrared reflectance (0.76 to 0.90 μm) of Big Bend loco and Wooton loco contributed significantly to their orange-red and red image tonal responses, respectively, on color-infrared aerial photographs making them distinguishable from associated vegetation and soil. Big Bend loco could also be distinguished on color-infrared and near-infrared black-and-white video imagery where it had distinct red and whitish tonal responses, respectively. Computer analyses of photographic and videographic images showed that Big Bend loco and Wooton loco populations could be quantified from other landscape features. A global positioning system was integrated with the video imagery that permitted latitude-longitude coordinates to appear on each image. The latitude-longitude data were integrated with a geographical information system to map Big Bend loco populations.
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Everitt, James H., David E. Escobar, Ricardo Villarreal, Mario A. Alaniz, and Michael R. Davis. "Canopy Light Reflectance and Remote Sensing of Shin Oak (Quercus havardii) and Associated Vegetation." Weed Science 41, no. 2 (June 1993): 291–97. http://dx.doi.org/10.1017/s0043174500076190.

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Shin oak is a deciduous shrub that forms dense stands of brush on sandy soils in rangeland areas of the Rolling and High Plains of Texas. Plant canopy reflectance measurements made on shin oak showed that it had both low visible (0.63- to 0.69-μm waveband) and nearinfrared (0.76- to 0.90-μm waveband) reflectance values, a characteristic generally not shared by associated plant species or mixtures of species. The low reflectance values of shin oak caused it to have dark-red, reddish-brown, or brown image tones on color-infrared photographic, videographic, and SPOT satellite images that made it distinguishable from associated vegetation and other land use features. The optimum time to remotely distinguish this noxious shrub is during the mature phenological stage from June to September. Computer-based image analyses of video and satellite images showed that shin oak populations could be quantified. This technique can permit “percent land area” estimates of shin oak on rangelands. The aerial imagery is useful for detecting shin oak on smaller rangeland areas, whereas the satellite imagery is applicable in mapping large areas of shin oak distribution.
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Kaimaris, Dimitris, Charalampos Georgiadis, Petros Patias, and Vassilis Tsioukas. "Aerial and Remote Sensing Archaeology." International Journal of Computational Methods in Heritage Science 1, no. 1 (January 2017): 58–76. http://dx.doi.org/10.4018/ijcmhs.2017010104.

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New techniques and methodological procedures, which would allow at a short time and at low cost for the identification of a new archaeological site, were always in the interest of archaeologists. In this paper, aerial and remote sensing archaeology issues will be analyzed, both as measuring tools for the documentation of existing archaeological structures as well as tools of archaeology prospection, which are based on the appearance of the reflection of covered structures in images, i.e. the so-called marks.
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Hickman, Michael V., James H. Everitt, David E. Escobar, and Arthur J. Richardson. "Aerial Photography and Videography for Detecting and Mapping Dicamba Injury Patterns." Weed Technology 5, no. 4 (December 1991): 700–706. http://dx.doi.org/10.1017/s0890037x00033728.

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Field trials were conducted to compare on-site visual evaluations with color-infrared photography (CIR), and near-infrared (NIR) videography (video) and hand-held radiometry (HHR) for detecting and mapping dicamba injury in cotton. CIR, video, and HHR detected 48%, 42% and 36%, respectively, of the injured crop area as defined by visual evaluation (injury ratings >0 on a scale of 0 to 9). The remote techniques were unable to differentiate crop injury that did not involve the entire plant canopy. Reflectance measurements in the visible red (R) (630–690 nm) and NIR (760–900 nm) wavelengths were taken and used in herbicide dosage prediction equations. Predicted herbicide dosages were significantly, positively correlated (P≤0.01) with physical measures of herbicide present. These studies suggest that remote detection and mapping of moderate and severe herbicide injury is possible. Further, NIR videography, with near-real-time capability and low cost may be the system of choice for this type of application.
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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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Rajan, Nithya, Naveen Puppala, Stephan Maas, Paxton Payton, and Russell Nuti. "Aerial Remote Sensing of Peanut Ground Cover." Agronomy Journal 106, no. 4 (July 2014): 1358–64. http://dx.doi.org/10.2134/agronj13.0532.

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Yang, Guo Dong, Guang Nan Liu, and Yuan Yuan Zhang. "Implementation of Airborne Remote Sensing Route Design System." Advanced Materials Research 588-589 (November 2012): 1171–77. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1171.

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Route design is an important part of airborne remote sensing. On the basis of DEM, using raster and vector geographic information, designing aerial route quickly and accurately is the main target of this system. Considering the actual requests, this system formulates two modes of aerial route design methods: according to navigating area and two points to design. This paper mainly introduces functions of system and algorithms of aerial route design methods.
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Azevedo, Carlos Lima, João L. Cardoso, Moshe Ben-Akiva, João P. Costeira, and Manuel Marques. "Automatic Vehicle Trajectory Extraction by Aerial Remote Sensing." Procedia - Social and Behavioral Sciences 111 (February 2014): 849–58. http://dx.doi.org/10.1016/j.sbspro.2014.01.119.

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Emery, William, and John Schmalzel. "Editorial for “Remote Sensing from Unmanned Aerial Vehicles”." Remote Sensing 10, no. 12 (November 24, 2018): 1877. http://dx.doi.org/10.3390/rs10121877.

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Armstrong, Helen Jane, and Jimmie Lundgren. "Cataloging Aerial Photographs and Other Remote-Sensing Materials." Cataloging & Classification Quarterly 27, no. 1-2 (November 19, 1999): 165–227. http://dx.doi.org/10.1300/j104v27n01_08.

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Dissertations / Theses on the topic "Aerial videography Remote sensing"

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Gastonguay, Jean-Michel. "Mise au point d'un reflectomètre imageur à partir de la vidéographie aérienne multispectrale (VAM) /." Thèse, Chicoutimi : Université du Québec à Chicoutimi, 2002. http://theses.uqac.ca.

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Sayeg, Heitor Siqueira [UNESP]. "Uso de filmagem aérea em perspectiva no apoio à coleta de dados, na pesquisa, no ensino e na divulgação de informações em Geociências." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/102935.

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Made available in DSpace on 2014-06-11T19:32:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-01-17Bitstream added on 2014-06-13T20:03:42Z : No. of bitstreams: 1 sayeg_hs_dr_rcla.pdf: 3535019 bytes, checksum: a38e98172ed9f1310d44aef93596cf8b (MD5)
Fotografia aérea NADIR é um conceito usado rotineiramente por geólogos e pesquisadores de vários campos de atividade. Filmagem aérea de baixa altitude, em perspectiva ou ortogonal, é um recurso muito acessível, pela qualidade e relação custo-benefício dos equipamentos digitais disponíveis, pela capacidade de processamento e facilidade de operação dos softwares e hardwares lançados no mercado e pelo custo da hora de vôo em aviões de pequeno porte. A visualização da organização das paisagens através de filmagens aéreas em perspectiva permite a construção de um banco de dados de fácil manuseio e fornece um ponto de vista complementar às informações derivadas de outras fontes. Os estudos e ações efetuados buscaram explorar essa técnica de registro de dados e testar seu potencial para compor material didático e transmitir informações específicas de interesse geológico.
Vertical aerial videography is a commonly technique used by geologists and researchers from several fields of knowledge. Aerial videography of low altitude, in oblique viewing, is a resource not spread, but very accessible, by the quality of digital equipment available, by capacity and facility of software and hardware operation and by the low cost of flight hour in small planes. The terrain observation (imaging) and oblique visualization of landscape in TV language allow building data base, to promote discrimination of surface landforms and morphologic patterns with tectonic meanings, and supply an approach that supplement the information derived from other media. In this work the goal was to apply this technique of data register in low cost and complexity of data treatment, test its aptitude to compose the didactic material and transmit specific information from geological interest.
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Reames, Steve. "Detecting the Presence of Disease by Unifying Two Methods of Remote Sensing." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3120/.

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There is currently no effective tool available to quickly and economically measure a change in landmass in the setting of biomedical professionals and environmental specialists. The purpose of this study is to structure and demonstrate a statistical change-detection method using remotely sensed data that can detect the presence of an infectious land borne disease. Data sources included the Texas Department of Health database, which provided the types of infectious land borne diseases and indicated the geographical area to study. Methods of data collection included the gathering of images produced by digital orthophoto quadrangle and aerial videography and Landsat. Also, a method was developed to identify statistically the severity of changes of the landmass over a three-year period. Data analysis included using a unique statistical detection procedure to measure the severity of change in landmass when a disease was not present and when the disease was present. The statistical detection method was applied to two different remotely sensed platform types and again to two like remotely sensed platform types. The results indicated that when the statistical change detection method was used for two different types of remote sensing mediums (i.e.-digital orthophoto quadrangle and aerial videography), the results were negative due to skewed and unreliable data. However, when two like remote sensing mediums were used (i.e.- videography to videography and Landsat to Landsat) the results were positive and the data were reliable.
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Sayeg, Heitor Siqueira. "Uso de filmagem aérea em perspectiva no apoio à coleta de dados, na pesquisa, no ensino e na divulgação de informações em Geociências /." Rio Claro : [s.n.], 2007. http://hdl.handle.net/11449/102935.

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Orientador: Gilberto José Garcia
Banca: Sergio dos Anjos Ferreira Pinto
Banca: Arquimedes Peres Filho
Banca: Norberto Morales
Banca: Olavo Raymundo Junior
Resumo: Fotografia aérea NADIR é um conceito usado rotineiramente por geólogos e pesquisadores de vários campos de atividade. Filmagem aérea de baixa altitude, em perspectiva ou ortogonal, é um recurso muito acessível, pela qualidade e relação custo-benefício dos equipamentos digitais disponíveis, pela capacidade de processamento e facilidade de operação dos softwares e hardwares lançados no mercado e pelo custo da hora de vôo em aviões de pequeno porte. A visualização da organização das paisagens através de filmagens aéreas em perspectiva permite a construção de um banco de dados de fácil manuseio e fornece um ponto de vista complementar às informações derivadas de outras fontes. Os estudos e ações efetuados buscaram explorar essa técnica de registro de dados e testar seu potencial para compor material didático e transmitir informações específicas de interesse geológico.
Abstract: Vertical aerial videography is a commonly technique used by geologists and researchers from several fields of knowledge. Aerial videography of low altitude, in oblique viewing, is a resource not spread, but very accessible, by the quality of digital equipment available, by capacity and facility of software and hardware operation and by the low cost of flight hour in small planes. The terrain observation (imaging) and oblique visualization of landscape in TV language allow building data base, to promote discrimination of surface landforms and morphologic patterns with tectonic meanings, and supply an approach that supplement the information derived from other media. In this work the goal was to apply this technique of data register in low cost and complexity of data treatment, test its aptitude to compose the didactic material and transmit specific information from geological interest.
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McLaughlin, Stephan. "Évaluation de la densité (tiges/ha.) et caractérisation de la défoliation d'un territoire forestier boréal à l'aide de la vidéographie aérienne multispectrale (VAM) /." Thèse, Chicoutimi : Université du Québec à Chicoutimi, 1998. http://theses.uqac.ca.

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Polizel, Jefferson Lordello. "Geotecnologias e clima urbano: aplicação dos recursos de sensoriamento remoto e sistema de informações geográficas na cidade de Piracicaba, SP." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-05022010-101157/.

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A referida pesquisa tem como finalidade usar ferramentas de geotecnologias para mapear a distribuição espacial do campo térmico da cidade de Piracicaba, SP e comparar os diferentes tipos de superfícies urbanas. Foram feitas coletas de temperatura em 3 áreas distintas, em determinados horários, na estação do verão e inverno. Nesses pontos de coleta de temperatura foram criados polígonos circulares e por meio desses polígonos circulares foram retirados das imagens de alta resolução da videografia aérea multiespectral, utilizando a técnica de classificação supervisionada foram separados as porcentagens dos diferentes tipos das superfícies urbanas. Foram feitas comparações com imagens térmicas, e correlacionadas com pixels retirados do NDVI (Índice de Vegetação por Diferença Normalizada) das imagens multiespectrais da videografia aérea multiespectral, os resultados obtidos do R2=0,68. Outras comparações foram realizadas com as temperaturas coletadas e com cenas da banda 6 do Satélite Landsat 5. Para transformação das cenas, foi utilizado o algoritmo de transformação do software IDRISI 3.2. Foi possível obter mapas temáticos com valores da temperatura radiante da superfície urbana da cidade de Piracicaba. Os resultados obtidos pela comparação entre as classes de cobertura, copa de árvore e a temperatura foram satisfatórios obtendo-se um R2 de 0,56 para polígonos circulares de 50 metros, outros resultados como lago/lagoa o R2 foi 0,72 e para sombra 0,24. Com a evolução dos recursos de geotecnologia, sensoriamento remoto, sistema de informações geográficas, informações mais detalhadas serão obtidas do tecido urbano.
This research aims to use tools to map the geo-spatial distribution of thermal field in Piracicaba, SP, and compare the different types of urban surfaces. Samples were performed in temperature in 3 different areas, at certain times, in the summer season and winter. These collection points were set up temperature circular polygons and polygons through these circulars were derived from images of high resolution multispectral aerial videography, using the technique of supervised classification were separated from the percentages of different types of urban surfaces. Comparisons were made with thermal imaging and correlated with pixels taken from NDVI (Normalized Difference Vegetation Index) the multispectral images of multispectral aerial videography, the results of R2 = 0,68. Other comparisons were made with the temperatures collected and scenes of the band 6 of Landsat 5 (TM). For processing the scenes, we used the algorithm processing software IDRISI 3.2. It was possible to obtain thematic maps with radiant values temperature of the surface of the town of Piracicaba. The results obtained by comparing the classes of coverage, and canopy temperature were adequate to yield an R2 of 0,56 for circular polygons of 50 meters, other results such as lake/pond R2 was 0,72 and for shade 0,24. With the development of resources of geotechnology, remote sensing, geographic information system, more detailed information will be obtained from the urban fabric.
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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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Sivarajan, Saravanan. "Estimating Yield of Irragated Potatoes Using Aerial and Satellite Remote Sensing." DigitalCommons@USU, 2011. http://digitalcommons.usu.edu/etd/1033.

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Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction due to its ability to detect crop growth conditions on spatial and temporal scales in a cost effective manner. Many empirical relationships have been established in the past between spectral vegetation indices and leaf area index, fractional ground cover, and crop growth rates for different crops through ground sampling. Remote sensing-based vegetation index (VI) yield models using airborne and satellite data have been developed only for grain crops like barley, corn, wheat, and sorghum. So it becomes important to validate and extend the VI-based model for tuber crops like potato, taking into account the most significant parameters that affect the final crop yield of these crops.
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Hayes, Austin Craig. "Evaluating the potential of aerial remote sensing in flue-cured tobacco." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/90296.

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Flue-cured tobacco (Nicotiana tabacum L.) is a high value-per-acre crop that is intensively managed to optimize the yield of high quality cured leaf. Aerial remote sensing, specifically unmanned aerial vehicles (UAVs), present flue-cured tobacco producers and researchers with a potential tool for scouting and crop management. A two-year study, conducted in Southside Virginia at the Southern Piedmont Agricultural Research and Extension Center and on commercial farms, assessed the potential of aerial remote sensing in flue-cured tobacco. The effort encompassed two key objectives. First, examine the use of the enhanced normalized difference vegetation index (ENDVI) for separating flue-cured tobacco varieties and nitrogen rates. Secondly, develop hyperspectral indices and/or machine learning classification models capable of detecting Phytophthora nicotianae (black shank) incidence in flue-cured tobacco. In 2017, UAV-acquired ENDVI surveys demonstrated the ability to consistently separate between flue-cured tobacco varieties and nitrogen rates from topping to harvest. In 2018, ENDVI revealed significant differences among N-rates as early as 34 days after transplanting. Two hyperspectral indices were developed to detect black shank incidence based on differences in the spectral profiles of asymptomatic flue-cured tobacco plants compared to those with black shank symptoms. Testing of the indices showed significant differences between the index values of healthy and symptomatic plants (alpha = 0.05). In addition, the indices were able to detect black shank symptoms pre-symptomatically (alpha = 0.09). Subspace linear discriminant analysis, a machine learning classification, was also used for prediction of black shank incidence with up to 85.7% classification accuracy.
Master of Science
Unmanned Aerial Vehicle’s (UAVs) or drones, as they are commonly referred to, may have potential as a tool in flue-cured tobacco research and production. UAVs combined with sensors and cameras provide the opportunity to gather a large amount of data on a particular crop, which may be useful in crop management. Given the intensive management of flue-cured tobacco, producers may benefit from extra insight on how to better assess threats to yield such as under-fertilization and disease pressure. A two-year study was conducted in Southside Virginia at the Southern Piedmont Agricultural Research and Extension Center and on commercial farms. There were two objectives to this effort. First, assess the ability of UAV-acquired multispectral near-infrared imagery to separate flue-cured tobacco varieties and nitrogen rates. Secondly, develop hyperspectral indices and machine learning models that can accurately predict the incidence of black shank in flue-cured tobacco. Flue-cured tobacco nitrogen rates were significantly different in 2017 from 59 days after transplanting to harvest using UAV-acquired near-infrared imagery. In 2018, heavy rainfall may have led to nitrogen leaching from the soil resulting in nitrogen rates being significantly different as early as 34 days after transplanting. The imagery also showed a significant relationship with variety maturation type in the late stages of crop development during ripening. Two hyperspectral indices were developed and one machine learning model was trained. Each had the ability to detect black shank incidence in fluecured tobacco pre-symptomatically, as well as separated black shank infested plants from healthy plants.
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Sivarajan, Saravanan. "Estimating Yield of Irrigated Potatoes Using Aerial and Satellite Remote Sensing." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1049.

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Multispectral aerial and satellite remote sensing plays a major role in crop yield prediction due to its ability to detect crop growth conditions on spatial and temporal scales in a cost effective manner. Many empirical relationships have been established in the past between spectral vegetation indices and leaf area index, fractional ground cover, and crop growth rates for different crops through ground sampling. Remote sensing-based vegetation index (VI) yield models using airborne and satellite data have been developed only for grain crops like barley, corn, wheat, and sorghum. So it becomes important to validate and extend the VI-based model for tuber crops like potato, taking into account the most significant parameters that affect the final crop yield of these crops.
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Books on the topic "Aerial videography Remote sensing"

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Mills, Blake. The effectiveness of aerial videography to characterize lakeshore condition. Edmonton: Alberta Conservation Association, 2004.

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Workshop on Videography and Color Photography in Resource Assessment (15th 1995 Terre Haute, Indiana). 15th Biennial Workshop on Videography & Color Photography in Resource Assessment, Terre Haute, Indiana, 1-3 May 1995. Bethesda, Maryland: American Society for Photogrammetry and Remote Sensing, 1995.

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Workshop on Videography (1st 1988 Indiana State University). Videography: First workshop. Falls Church, VA: American Society for Photogrammetry and Remote Sensing, 1988.

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

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Sochʻŏn Kim Kap-tŏk Kyosu Hwagap Kinyŏm Saŏp Chʻujin Wiwŏnhoe., ed. Sajin pʻandok kwa wŏngʼyŏk tʻamsa. [Seoul]: Sochʻŏn Kim Kap-tŏk Kyosu Hwagap Kinyŏm Saŏp Chʻujin Wiwŏnhoe, 1986.

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

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Book chapters on the topic "Aerial videography Remote sensing"

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Slaymaker, Dana. "Using Georeferenced Large-Scale Aerial Videography as a Surrogate for Ground Validation Data." In Remote Sensing of Forest Environments, 469–88. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0306-4_18.

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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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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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MacVicar, Bruce J., Alexandre Hauet, Normand Bergeron, Laure Tougne, and Imtiaz Ali. "River Monitoring with Ground-Based Videography." In Fluvial Remote Sensing for Science and Management, 367–83. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119940791.ch16.

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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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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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Lindgren, David T. "Aerial cameras, filters, and films." In Land use planning and remote sensing, 11–25. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-017-2035-9_2.

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Lindgren, David T. "The geometry of aerial photos." In Land use planning and remote sensing, 27–42. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-017-2035-9_3.

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Lindgren, David T. "How to acquire aerial photos." In Land use planning and remote sensing, 57–66. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-017-2035-9_5.

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Comer, Douglas C. "Aerial and Satellite Remote Sensing in Archaeology." In Encyclopedia of Global Archaeology, 29–33. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4419-0465-2_520.

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Conference papers on the topic "Aerial videography Remote sensing"

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Verhoeven, Geert. "Becoming a NIR-sensitive aerial archaeologist." In Remote Sensing, edited by Christopher M. U. Neale, Manfred Owe, and Guido D'Urso. SPIE, 2007. http://dx.doi.org/10.1117/12.747429.

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Griffith, Derek J., Detlev Sprung, Erik Sucher, Arshath Ramkilowan, and Lufuno Vhengani. "Comparison of slant-path scintillometry, sonic anemometry and high-speed videography for vertical profiling of turbulence in the atmospheric surface layer." In SPIE Remote Sensing, edited by Adolfo Comeron, Evgueni I. Kassianov, Klaus Schäfer, Karin Stein, and John D. Gonglewski. SPIE, 2013. http://dx.doi.org/10.1117/12.2032674.

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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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Moissinac, Henri, Henri Maitre, and Isabelle Bloch. "Urban aerial image understanding using symbolic data." In Satellite Remote Sensing, edited by Jacky Desachy. SPIE, 1994. http://dx.doi.org/10.1117/12.196729.

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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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Salotti, Marc, and Nabil Laachfoubi. "Analysis of smoke propagation from a sequence of aerial images." In Remote Sensing, edited by Edwin T. Engman. SPIE, 1998. http://dx.doi.org/10.1117/12.332770.

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Campbell, James B. "The Geospatial Workforce Development Project on-line aerial photointerpretation course." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, Haruhisa Shimoda, Joan B. Lurie, and Michelle L. Aten. SPIE, 2004. http://dx.doi.org/10.1117/12.510406.

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Finn, Anthony, Kevin Rogers, Joshua Meade, and Stephen Franklin. "Acoustic atmospheric tomography using multiple unmanned aerial vehicles." In SPIE Remote Sensing, edited by Adolfo Comerón, Evgueni I. Kassianov, Klaus Schäfer, Richard H. Picard, Karin Stein, and John D. Gonglewski. SPIE, 2014. http://dx.doi.org/10.1117/12.2073249.

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Izaka, Shota, and Hitoshi Saji. "Extraction of earthquake-damaged areas from aerial images by probabilistic method." In Remote Sensing, edited by Ulrich Michel and Daniel L. Civco. SPIE, 2010. http://dx.doi.org/10.1117/12.864801.

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Wohlfeil, Jürgen. "Completely optical orientation determination for an unstabilized aerial three-line camera." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2010. http://dx.doi.org/10.1117/12.865050.

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Reports on the topic "Aerial videography 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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