Relevant bibliographies by topics / Aerial surveys in forestry

Contents

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

Academic literature on the topic 'Aerial surveys in forestry'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Aerial surveys in forestry"

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Johnson, E. W., and D. Wittwer. "Aerial detection surveys in the United States." Australian Forestry 71, no. 3 (2008): 212–15. http://dx.doi.org/10.1080/00049158.2008.10675037.

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Martin, Maxence, Nicole J. Fenton, and Hubert Morin. "Boreal old-growth forest structural diversity challenges aerial photographic survey accuracy." Canadian Journal of Forest Research 50, no. 2 (2020): 155–69. http://dx.doi.org/10.1139/cjfr-2019-0177.

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The erosion of old-growth forests in boreal managed landscapes is a major issue currently faced by forest managers; however, resolving this problem requires accurate surveys. The intention of our study was to determine if historic operational aerial forest surveys accurately identified boreal old-growth forests in Quebec, Canada. We first compared stand successional stages (even-aged vs. old-growth) in two aerial surveys performed in 1968 (preindustrial aerial survey) and 2007 (modern aerial survey) on the same 2200 km2 territory. Second, we evaluated the accuracy of the modern aerial survey b
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Miller, Zachary M., Joseph Hupy, Aishwarya Chandrasekaran, Guofan Shao, and Songlin Fei. "Application of Postprocessing Kinematic Methods with UAS Remote Sensing in Forest Ecosystems." Journal of Forestry 119, no. 5 (2021): 454–66. http://dx.doi.org/10.1093/jofore/fvab021.

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Abstract Unmanned Aerial Systems (UAS) serve as an excellent remote-sensing platform to fulfill an aerial imagery data collection niche previously unattainable in forestry by satellites and manned aircraft. However, for UAS-derived data to be spatially representative, a precise network of ground control points (GCP) is often required, which can be tedious and limit the logistical benefits of UAS rapid deployment capabilities, especially in densely forested areas. Therefore, methods for efficient data collection without GCPs are highly desired in UAS remote sensing. Here, we demonstrate the use
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Nelson, Trisalyn, Barry Boots, and Michael A. Wulder. "Large-area mountain pine beetle infestations: Spatial data representation and accuracy." Forestry Chronicle 82, no. 2 (2006): 243–52. http://dx.doi.org/10.5558/tfc82243-2.

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Point data generated from helicopter surveys are used to determine the location and magnitude of mountain pine beetle infestations. Although collected for tactical planning, these data also provide a rich source of information for scientific investigations. To facilitate spatial research, it is important to consider how to best represent spatially explicit mountain pine beetle infestation data. This paper focuses on the spatial representation of point-based aerial helicopter surveys, which can be difficult to represent due to issues associated with large data quantities and data uncertainty. I
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Béland, Jean-Michel, Éric Bauce, Conrad Cloutier, Richard Berthiaume, and Christian Hébert. "Accuracy of Defoliation Estimates from Aerial and Ground Surveys in a Boreal Forest during an Outbreak of the Hemlock Looper, Lambdina fiscellaria (Guenée)." Forests 13, no. 7 (2022): 1120. http://dx.doi.org/10.3390/f13071120.

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Annual estimates of defoliation are important tools for managing forest insect defoliators such as the hemlock looper, which feeds on conifer needles of all age classes. We tested the accuracy of defoliation classes obtained from aerial surveys by comparing them with ground-based estimates during a recent outbreak of this insect. We used an approach derived from the Fettes method to estimate defoliation on the current-year shoots as well as on the shoots of the four previous years. Defoliation on the current-year shoots provided accurate estimates of the overall defoliation and the strength of
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Brand, David G., Donald G. Leckie, and Edward E. Cloney. "Forest regeneration surveys: Design, data collection, and analysis." Forestry Chronicle 67, no. 6 (1991): 649–57. http://dx.doi.org/10.5558/tfc67649-6.

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Regeneration surveys have always been looked on as a necessary evil in silviculture. Huge amounts of data have been collected, only to answer simple questions or to be filed and never used. This paper addresses the possibility of changing regeneration surveys from simple legislative requirements, into components of the forestry information system. Current technology allows the development of sophisticated decision support systems, and this changes the whole perspective on information needed from regeneration surveys. Depending on the level of information needed, ground surveys or aerial survey
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Williams, J. "Review: Digital Aerial Survey: Theory and Practice." Forestry 77, no. 2 (2004): 173–74. http://dx.doi.org/10.1093/forestry/77.2.173-a.

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Waters, William E., and Robert W. Graebner. "Sampling Aerial Photographs for Estimation of Pest-Caused Tree Mortality." Western Journal of Applied Forestry 1, no. 3 (1986): 84–89. http://dx.doi.org/10.1093/wjaf/1.3.84.

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Abstract Six methods of estimating pest-caused tree mortality were evaluated by computer-based sampling of the aerial photo and numerical database of a 9,320 ha area of ponderosa pine (Pinus ponderosa) in the central Sierra Nevada, California. Two sampling universes were defined, one comprising 9 X 9 in photo units, the other 70 mm photo units. Of the sampling designs simulated, 2-stage designs involving subsampling of photo strips with either equal or variable probability provided estimates with the lowest standard deviations, and hence would require smaller sample sizes (and less photo-inter
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Taylor, Sarah L., and David A. MacLean. "Validation of Spruce Budworm Outbreak History Developed from Aerial Sketch Mapping of Defoliation in New Brunswick." Northern Journal of Applied Forestry 25, no. 3 (2008): 139–45. http://dx.doi.org/10.1093/njaf/25.3.139.

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Abstract Aerial sketch mapping (ASM) of annual defoliation provides a means to quantify spruce budworm (Choristoneura fumiferana Clem.) outbreak histories, but accuracy is affected by factors such as navigation and weather conditions. We used ground-based defoliation estimates from 123 permanent sample plots (PSP) in New Brunswick and increment core growth data from a subset of PSPs, to validate ASM estimates of defoliation. From 1985 to 1993, 85% of 332 cases were correctly classified by aerial estimates as nil–light (0–30%) or moderate–severe (31–100%), with the proportion correct varying by
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Johnson, Erik W., and Jennifer Ross. "Quantifying error in aerial survey data." Australian Forestry 71, no. 3 (2008): 216–22. http://dx.doi.org/10.1080/00049158.2008.10675038.

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Dissertations / Theses on the topic "Aerial surveys in forestry"

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

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Bleier, Mary F. "Use of prior distributions from aerial photographs in forest inventory." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41543.

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Bayesian estimates of gross cubic- foot volume per acre were computed for four stand types (plantation pine, natural pine. hardwood. and mixed wood stands) using aerial photo volume tables as the prior information source. Aerial photographs provided a reliable source of information even though most photographs were nearly five years old. For a given level of precision within a particular stand, Bayesian methods reduced the required field sample size up to 50% using all or half of the prior information available. Those priors which utilized a regression or a regression/topographic correction i
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Grotefendt, Richard. "Accurate and cost-effective natural resource data from super large scale aerial photography /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/5454.

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Zielewska-Büttner, Katarzyna [Verfasser]. "Deriving biodiversity-relevant forest structure parameters: The value of aerial imagery from state surveys." Freiburg : Universität, 2020. http://d-nb.info/1229349405/34.

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Saoudi, Abdelhamid. "Utilisation des rapports radiométriques de bandes spectrales dans la discrimination des essences forestières par vidéographie aérienne multibande (vam) /." Thèse, Chicoutimi : Université du Québec à Chicoutimi, 1997. http://theses.uqac.ca.

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Jodry, Réal. "La télédétection multibande aéroportée MEIS II et DAEDALUS MSS appliquée à la cartographie forestière de la station Simoncouche /." Thèse, Chicoutimi : Université du Québec à Chicoutimi, 1996. http://theses.uqac.ca.

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Larsen, Thor Liland. "Unmanned Aerial Vehicles for Post Disaster Surveys." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/429.

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In the current built environment, structures require regular observation and maintenance. Many of these structures can be quite challenging to evaluate. The required scaffolding, lifts, or similar access facilities can become quite costly to rent and construct, and can be a long term disturbance to those who use and manage the particular structure. Furthermore, there are situations where examination for the purpose of detailed analysis can be quite hazardous, if not entirely unsafe for humans. In a post-disaster environment traditional methods may not be safe or adequate for gaining access
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Zagalikis, Georgios D. "Estimation of forest stand parameters using digital orthorectified aerial photographs." Thesis, University of Aberdeen, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274879.

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Ground based forest inventory surveys can provide highly accurate measurements of tree and stand characteristics, but are time-consuming and costly, and therefore typically limited to number of sample plots.  Estimating tree and stand characteristics from digitised aerial photographs can provide measurements from the whole stand, but is less accurate.  The goal of this study was to evaluate the application of scanned, stereo aerial photography and digital photogrammetry in combination with tree crown delineation techniques to measure tree and stand characteristics in two sites in Scotland, Ros
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Books on the topic "Aerial surveys in forestry"

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McConnell, Timothy J. A guide to conducting aerial sketchmapping surveys. U.S. Dept. of Agriculture, Forest Service, 2000.

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McConnell, Timothy J. A guide to conducting aerial sketchmapping surveys. U.S. Dept. of Agriculture, Forest Service, Forest Health Technology Enterprise Team, 2000.

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

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Kanaskie, Alan. Aerial surveys for swiss needle cast in western Oregon. Pacific Northwest Research Station, USDA Forest Service, Forestry Sciences Laboratory, 2002.

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Koot, Peter. Overview aerial survey standards for British Columbia and Yukon. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 1997.

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Riemann, Rachel. FIA photointerpretation in southern New England: A tool to determine forest fragmentation and proximity to human development. U. S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 1999.

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Kanaskie, Alan. Ground verification of aerial survey for Port-Orford-cedar root disease in southwest Oregon. Pacific Northwest Research Station, USDA Forest Service, Forestry Sciences Laboratory, 2002.

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Gougeon, François A. Forest information extraction from high spatial resolution images using an individual tree crown approach. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 2003.

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Ripple, William J. Assessing elk trail and wallow impacts in Mount Rainier National Park: Final report. Environmental Remote Sensing Applications Laboratory - ERSAL, Oregon State University, College of Forestry, 1988.

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Ripple, William J. Assessing elk trail and wallow impacts in Mount Rainier National Park: First year activities : final report for period August 1985 through July 1986. Environmental Remote Sensing Applications Laboratory (ERSAL), Oregon State University, 1986.

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Book chapters on the topic "Aerial surveys in forestry"

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Trevett, J. W. "Applications in forestry." In Imaging Radar for Resources Surveys. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4089-5_9.

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Traub, Berthold, Fabrizio Cioldi, Christoph Düggelin, Markus Keller, and Christian Ginzler. "Quality in Aerial-Image Interpretation and Field Survey." In Swiss National Forest Inventory – Methods and Models of the Fourth Assessment. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19293-8_21.

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McRoberts, Ronald E., Hans-Erik Andersen, and Erik Næsset. "Using Airborne Laser Scanning Data to Support Forest Sample Surveys." In Forestry Applications of Airborne Laser Scanning. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-017-8663-8_14.

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Stansbury, Richard S., and Timothy A. Wilson. "Technology Surveys and Regulatory Gap Analyses of UAS Subsystems Toward Access to the NAS." In Handbook of Unmanned Aerial Vehicles. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_62.

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Obanawa, Hiroyuki, and Hideaki Shibata. "Applications of UAV Remote Sensing to Topographic and Vegetation Surveys." In Unmanned Aerial Vehicle: Applications in Agriculture and Environment. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27157-2_10.

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Rizzo, Maria, and Patrizia Gasparini. "Land Use and Land Cover Photointerpretation." In Springer Tracts in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98678-0_3.

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AbstractMost national forest inventories use remote sensing data, mainly aerial photos and orthophotos, for the preliminary classification of land use and cover in the inventory points, also for the purpose of estimating the forest area. The classification of land use and land cover during the first phase of the third Italian forest inventory INFC2015 was carried out by interpreting 4-band digital orthophotos (RGB colors and near infrared) in over 301,000 points located on a grid with quadrangular meshes of 1 km2. The classification system adopted includes three hierarchical levels, of which the first corresponds to the same level of the European CORINE Land Cover system and the subsequent ones aimed at highlighting the classes of inventory interest, for the subsequent stratification of the sample of points to be surveyed on the ground. A rigorous quality control procedure was implemented, during the photointerpretation and its conclusion, in order to assess the accuracy of the classifications and the extent of changes to and from forest land use and land cover.
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Rana, Amit, Inshu Chauhan, and Gaurav Bhatt. "Assessment of Low-Cost Unmanned Aerial Systems for Engineering Surveys." In Lecture Notes in Civil Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37393-1_2.

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

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Hemm, Robert A., and Marcelo Mendez. "Aerial Surveys of Isle De Pasqua: Easter Island and the New Birdmen." In Easter Island. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0183-1_12.

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Suab, Stanley Anak, and Ram Avtar. "Unmanned Aerial Vehicle System (UAVS) Applications in Forestry and Plantation Operations: Experiences in Sabah and Sarawak, Malaysian Borneo." In Unmanned Aerial Vehicle: Applications in Agriculture and Environment. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27157-2_8.

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Conference papers on the topic "Aerial surveys in forestry"

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Carabin, Giovanni, Lorenzo Becce, Andreas Mandler, and Fabrizio Mazzetto. "Primary Production Prediction from Aerial Spectrographic Survey." In 2022 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2022. http://dx.doi.org/10.1109/metroagrifor55389.2022.9964747.

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Gundlach, John. "Development of the Virginia Tech Forestry Unmanned Aerial Vehicle." In 37th Aerospace Sciences Meeting and Exhibit. American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-3.

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Safonova, N. M., and L. N. Bogdanova. "APPLICATION OF TECHNOLOGIES OF UNMANNED AERIAL VEHICLES IN FORESTRY." In Современный лесной комплекс страны: проблемы и тренды развития. Воронежский государственный лесотехнический университет им. Г.Ф. Морозова, 2022. http://dx.doi.org/10.58168/mfccptd2022_127-131.

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Elwany and McCreight. "Low-cost aerial surveys for coastal studies." In Oceans 2003. Celebrating the Past ... Teaming Toward the Future. IEEE, 2003. http://dx.doi.org/10.1109/oceans.2003.178557.

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Ďatko, Ondrej, and Branislav Kandera. "Possibilities of using unmanned aerial vehicles in forestry and agriculture." In Práce a štúdie. University of Zilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.2.07.

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This work analyzes the penetration of the aviation, forestry and agriculture sector and aims to present forestry and agricultural activities where there is the possibility of using unmanned aerial vehicles. In the first chapter, the work deals with the characteristics of unmanned aerial vehicles, remote sensing, forestry and agriculture. The second chapter deals with a particular analyzes of scientific papers, articles and internet research, and on the basis of these analyzes presents examples of activities in which unmanned aerial vehicles can be used. The third chapter provides an overview o
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Hossain, FM Anim, Youmin Zhang, and Chi Yuan. "A Survey on Forest Fire Monitoring Using Unmanned Aerial Vehicles." In 2019 3rd International Symposium on Autonomous Systems (ISAS). IEEE, 2019. http://dx.doi.org/10.1109/isass.2019.8757707.

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Gourlay, Sydney. "Sensors for Soil Health: The Evolution of Soil Technologies and Integration with Household Surveys." In 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2019. http://dx.doi.org/10.1109/metroagrifor.2019.8909280.

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Mammarella, Martina, Lorenzo Comba, Alessandro Biglia, Fabrizio Dabbene, and Paolo Gay. "Cooperative Agricultural Operations of Aerial and Ground Unmanned Vehicles." In 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2020. http://dx.doi.org/10.1109/metroagrifor50201.2020.9277573.

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Gareev, M. R., and R. N. Sitdikov. "Possibilities of Unmanned Aerial Vehicles During Field Seismic Surveys." In GeoBaikal 2020. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202052024.

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Coombes, Matthew, Wen-Hua Chen, and Cunjia Liu. "Boustrophedon coverage path planning for UAV aerial surveys in wind." In 2017 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2017. http://dx.doi.org/10.1109/icuas.2017.7991469.

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Reports on the topic "Aerial surveys in forestry"

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Proctor, A. E. AERIAL RADIOLOGICAL SURVEYS. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/6084.

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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), 1998. http://dx.doi.org/10.2172/607530.

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Mobley, Joseph R., and Jr. Marine Mammal Aerial Surveys in Bahamas and Hawaii. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada424433.

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Fritzsche, A. E., and J. E. Jobst. Aerial radiological surveys of Steed Pond, Savannah River Site: Dates of surveys, 1984--1989. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10110585.

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Taylor, R. B., and D. Frobel. Aerial video surveys, the coastline of Prince Edward Island. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1992. http://dx.doi.org/10.4095/183859.

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Taylor, R. B., D. Frobel, and A. G. Sherin. Aerial video surveys, Pictou County coastline of Nova Scotia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/213874.

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Taylor, R. B., and D. Frobel. Aerial video surveys, the Bras d'Or Lakes shoreline, Nova Scotia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/210110.

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Ramp, Steven R., Jeffrey D. Paduan, Curtis A. Collins, and Wendell Nuss. Aerial Surveys of the Ocean and Atmosphere off Central California. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada626593.

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Thane Hendricks and Michael Reed. Aerial Radiological Surveys of the Las Vegas Strip and Adjacent Areas. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/948000.

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Taylor, R. B., and D. Frobel. Aerial video surveys, the coastline of Îles de la Madeleine, Québec. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/220609.

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