{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T05:00:34Z","timestamp":1773810034195,"version":"3.50.1"},"reference-count":109,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key R&amp;D Program of China","award":["2017YFC0506505"],"award-info":[{"award-number":["2017YFC0506505"]}]},{"name":"the National Key R&amp;D Program of China","award":["2017YFB0503005"],"award-info":[{"award-number":["2017YFB0503005"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41501416"],"award-info":[{"award-number":["41501416"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This article reviews studies regarding wild animal surveys based on multiple platforms, including satellites, manned aircraft, and unmanned aircraft systems (UASs), and focuses on the data used, animal detection methods, and their accuracies. We also discuss the advantages and limitations of each type of remote sensing data and highlight some new research opportunities and challenges. Submeter very-high-resolution (VHR) spaceborne imagery has potential in modeling the population dynamics of large (&gt;0.6 m) wild animals at large spatial and temporal scales, but has difficulty discerning small (&lt;0.6 m) animals at the species level, although high-resolution commercial satellites, such as WorldView-3 and -4, have been able to collect images with a ground resolution of up to 0.31 m in panchromatic mode. This situation will not change unless the satellite image resolution is greatly improved in the future. Manned aerial surveys have long been employed to capture the centimeter-scale images required for animal censuses over large areas. However, such aerial surveys are costly to implement in small areas and can cause significant disturbances to wild animals because of their noise. In contrast, UAS surveys are seen as a safe, convenient and less expensive alternative to ground-based and conventional manned aerial surveys, but most UASs can cover only small areas. The proposed use of UAS imagery in combination with VHR satellite imagery would produce critical population data for large wild animal species and colonies over large areas. The development of software systems for automatically producing image mosaics and recognizing wild animals will further improve survey efficiency.<\/jats:p>","DOI":"10.3390\/rs11111308","type":"journal-article","created":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T02:08:40Z","timestamp":1559527720000},"page":"1308","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":144,"title":["Surveying Wild Animals from Satellites, Manned Aircraft and Unmanned Aerial Systems (UASs): A Review"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1377-8394","authenticated-orcid":false,"given":"Dongliang","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}]},{"given":"Quanqin","family":"Shao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Huanyin","family":"Yue","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1111\/mam.12046","article-title":"Are unmanned aircraft systems (uass) the future of wildlife monitoring? A review of accomplishments and challenges","volume":"45","author":"Linchant","year":"2015","journal-title":"Mamm. Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1071\/WR16006","article-title":"Double-observer evaluation of pronghorn aerial line-transect surveys","volume":"43","author":"Smyser","year":"2016","journal-title":"Wildl. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.rse.2017.08.026","article-title":"Detecting animals in african savanna with uavs and the crowds","volume":"200","author":"Rey","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_4","first-page":"286","article-title":"Cotton fields drive elephant habitat fragmentation in the mid zambezi valley, zimbabwe","volume":"19","author":"Sibanda","year":"2012","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"8","DOI":"10.5751\/ACE-00953-120108","article-title":"The motus wildlife tracking system: A collaborative research network to enhance the understanding of wildlife movement","volume":"12","author":"Crewe","year":"2017","journal-title":"Avian Conserv. Ecol."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Borchers, D.L., Buckland, S.T., and Zucchini, W. (2002). Estimating Animal Abundance, Springer.","DOI":"10.1007\/978-1-4471-3708-5"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5716","DOI":"10.1073\/pnas.1719367115","article-title":"Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning","volume":"115","author":"Norouzzadeh","year":"2018","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1071\/WR04003","article-title":"Wildlife population monitoring: Some practical considerations","volume":"32","author":"Witmer","year":"2005","journal-title":"Wildl. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3996\/nafa.79.0001","article-title":"The north american breeding bird survey 1966\u20132011: Summary analysis and species accounts","volume":"79","author":"Sauer","year":"2013","journal-title":"N. Am. Fauna"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2266","DOI":"10.2193\/2006-004","article-title":"Uneven rates of landscape change as a source of bias in roadside wildlife surveys","volume":"71","author":"Betts","year":"2007","journal-title":"J. Wildl. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1017\/S1466046615000186","article-title":"Applications of unmanned aircraft systems (uas) for waterbird surveys","volume":"17","author":"Dulava","year":"2015","journal-title":"Environ. Pract."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1111\/cobi.12809","article-title":"Feasibility of using high-resolution satellite imagery to assess vertebrate wildlife populations","volume":"31","author":"LaRue","year":"2017","journal-title":"Conserv. Biol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1111\/1365-2664.12261","article-title":"Satellite remote sensing for applied ecologists: Opportunities and challenges","volume":"51","author":"Pettorelli","year":"2014","journal-title":"J. Appl. Ecol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1126\/science.1256014","article-title":"Sensing biodiversity","volume":"346","author":"Turner","year":"2014","journal-title":"Science"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"6599","DOI":"10.1080\/01431161.2014.964349","article-title":"Earth observation satellite sensors for biodiversity monitoring: Potentials and bottlenecks","volume":"35","author":"Kuenzer","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.rse.2014.06.005","article-title":"Estimating moose (alces alces) occurrence and abundance from remotely derived environmental indicators","volume":"152","author":"Michaud","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1046\/j.1365-2028.2000.00242.x","article-title":"Population trends of large non-migratory wild herbivores and livestock in the masai mara ecosystem, kenya, between 1977 and 1997","volume":"38","author":"Ottichilo","year":"2000","journal-title":"Afr. J. Ecol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1111\/mms.12251","article-title":"Aerial surveys suggest long-term stability in the seasonally ice-free foxe basin (nunavut) polar bear population","volume":"32","author":"Stapleton","year":"2016","journal-title":"Mar. Mammal Sci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1890\/120150","article-title":"Lightweight unmanned aerial vehicles will revolutionize spatial ecology","volume":"11","author":"Anderson","year":"2013","journal-title":"Front. Ecol. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1139\/juvs-2015-0021","article-title":"Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?","volume":"3","author":"Chabot","year":"2015","journal-title":"J. Unmanned Veh. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1002\/fee.1281","article-title":"Unmanned aircraft systems in wildlife research: Current and future applications of a transformative technology","volume":"14","author":"Christie","year":"2016","journal-title":"Front. Ecol. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Fiori, L., Doshi, A., Martinez, E., Orams, M.B., and Bollardbreen, B. (2017). The use of unmanned aerial systems in marine mammal research. Remote Sens., 9.","DOI":"10.3390\/rs9060543"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1111\/2041-210X.12973","article-title":"How do you find the green sheep? A critical review of the use of remotely sensed imagery to detect and count animals","volume":"9","author":"Hollings","year":"2018","journal-title":"Methods Ecol. Evol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1111\/j.1466-8238.2009.00467.x","article-title":"Penguins from space: Faecal stains reveal the location of emperor penguin colonies","volume":"18","author":"Fretwell","year":"2009","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.rse.2013.08.009","article-title":"Continental-scale mapping of ad\u00e9lie penguin colonies from landsat imagery","volume":"139","author":"Schwaller","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/0034-4257(89)90113-2","article-title":"A remote-sensing analysis of adelie penguin rookeries","volume":"28","author":"Schwaller","year":"1989","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/0034-4257(80)90046-2","article-title":"Wombats detected from space","volume":"9","author":"Loffler","year":"1980","journal-title":"Remote Sens. Environ."},{"key":"ref_28","first-page":"249","article-title":"Detecting plague-host abundance from space: Using a spectral vegetation index to identify occupancy of great gerbil burrows","volume":"64","author":"Wilschut","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Yang, Z., Wang, T., Skidmore, A.K., De, L.J., Said, M.Y., and Freer, J. (2014). Spotting east african mammals in open savannah from space. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0115989"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Stapleton, S., Larue, M., Lecomte, N., Atkinson, S., Garshelis, D., Porter, C., and Atwood, T. (2014). Polar bears from space: Assessing satellite imagery as a tool to track arctic wildlife. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0101513"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1134\/S1062359013020106","article-title":"The possibility of using high resolution satellite images for detection of marine mammals","volume":"40","author":"Platonov","year":"2013","journal-title":"Biol. Bull."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1111\/ibi.12482","article-title":"Using super-high resolution satellite imagery to census threatened albatrosses","volume":"159","author":"Fretwell","year":"2017","journal-title":"Ibis"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Fretwell, P.T., Staniland, I.J., and Forcada, J. (2014). Whales from space: Counting southern right whales by satellite. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0088655"},{"key":"ref_34","first-page":"1","article-title":"Whales from space: Four mysticete species described using new vhr satellite imagery","volume":"1","author":"Cubaynes","year":"2018","journal-title":"Mar. Mamm. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1727","DOI":"10.1007\/s00300-011-1023-0","article-title":"Satellite imagery can be used to detect variation in abundance of weddell seals (leptonychotes weddellii) in erebus bay, antarctica","volume":"34","author":"LaRue","year":"2011","journal-title":"Polar Biol."},{"key":"ref_36","first-page":"50","article-title":"Aerial surveys of wildlife resources","volume":"1","author":"Li","year":"1985","journal-title":"Jilin For. Sci. Tech."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1111\/j.1751-8369.1990.tb00395.x","article-title":"Aerial strip surveys of polar bears in the barents sea","volume":"8","author":"Wiig","year":"1990","journal-title":"Polar Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"597383","DOI":"10.1155\/2013\/597383","article-title":"Aerial survey as a tool to estimate abundance and describe distribution of a carcharhinid species, the lemon shark, negaprion brevirostris","volume":"2013","author":"Kessel","year":"2013","journal-title":"J. Mar. Biol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"307","DOI":"10.47536\/jcrm.v8i3.728","article-title":"The first aerial survey to estimate abundance of humpback whales (megaptera movaeangliae) in the breeding ground off brazil (breeding stock a)","volume":"8","author":"Andriolo","year":"2006","journal-title":"J. Cetacean Res. Manag."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1071\/WR9890639","article-title":"An experimental evaluation of dugong and sea turtle aerial survey techniques","volume":"16","author":"Marsh","year":"1989","journal-title":"Aust. Wildl. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1111\/j.1523-1739.2007.00705.x","article-title":"Assessment of effectiveness of protection strategies in tanzania based on a decade of survey data for large herbivores","volume":"21","author":"Stoner","year":"2007","journal-title":"Conserv. Biol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fmars.2015.00116","article-title":"Five decades of marine megafauna surveys from micronesia","volume":"2","author":"Martin","year":"2016","journal-title":"Front. Mar. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Vermeulen, C., Lejeune, P., Lisein, J., Sawadogo, P., and Bouche, P. (2013). Unmanned aerial survey of elephants. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0054700"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"31362","DOI":"10.3390\/s151229861","article-title":"Towards an autonomous vision-based unmanned aerial system against wildlife poachers","volume":"15","author":"Fu","year":"2015","journal-title":"Sensors"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1177\/194008291200500202","article-title":"Dawn of drone ecology: Low-cost autonomous aerial vehicles for conservation","volume":"5","author":"Koh","year":"2012","journal-title":"Trop. Conserv. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1002\/ecs2.1468","article-title":"Noninvasive unmanned aerial vehicle provides estimates of the energetic cost of reproduction in humpback whales","volume":"7","author":"Christiansen","year":"2016","journal-title":"Ecosphere"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1016\/j.cub.2015.07.024","article-title":"Bears show a physiological but limited behavioral response to unmanned aerial vehicles","volume":"25","author":"Ditmer","year":"2015","journal-title":"Curr. Biol."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Cliff, O.M., Fitch, R., Sukkarieh, S., Saunders, D.L., and Heinsohn, R. (2015, January 13\u201317). Online Localization of Radio-Tagged Wildlife with An Autonomous Aerial Robot System. Proceedings of the Robotics: Science and Systems, Rome, Italy.","DOI":"10.15607\/RSS.2015.XI.042"},{"key":"ref_49","unstructured":"U.S. Federal Aviation Administration (2017, December 15). Faa Doubles \u2018blanket\u2019 Altitude for Many Uas Flights, Available online: https:\/\/www.faa.gov\/uas\/media\/Part_107_Summary.pdf."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1002\/eap.1519","article-title":"Unmanned aerial vehicles for surveying marine fauna: Assessing detection probability","volume":"27","author":"Hodgson","year":"2017","journal-title":"Ecol. Appl."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Hodgson, A., Kelly, N., and Peel, D. (2013). Unmanned aerial vehicles (uavs) for surveying marine fauna: A dugong case study. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0079556"},{"key":"ref_52","unstructured":"Witczuk, J., Pagacz, S., Zmarz, A., and Cypel, M. (2017). Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forests - preliminary results. Int. J. Remote Sens., 1\u201318."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1038\/srep45127","article-title":"Automated detection and enumeration of marine wildlife using unmanned aircraft systems (uas) and thermal imagery","volume":"7","author":"Seymour","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"22574","DOI":"10.1038\/srep22574","article-title":"Precision wildlife monitoring using unmanned aerial vehicles","volume":"6","author":"Hodgson","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"237","DOI":"10.3354\/meps11945","article-title":"Using unmanned aerial vehicles (uavs) to investigate shark and ray densities in a shallow coral lagoon","volume":"560","author":"Kiszka","year":"2016","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_56","first-page":"72","article-title":"Monitoring butterflies with an unmanned aerial vehicle: Current possibilities and future potentials","volume":"41","author":"Ivosevic","year":"2017","journal-title":"J. Ecol. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1007\/s00300-014-1625-4","article-title":"A small unmanned aerial system for estimating abundance and size of antarctic predators","volume":"38","author":"Goebel","year":"2015","journal-title":"Polar Biol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"750","DOI":"10.2193\/0091-7648(2006)34[750:AAOSUA]2.0.CO;2","article-title":"An assessment of small unmanned aerial vehicles for wildlife research","volume":"34","author":"Jones","year":"2006","journal-title":"Wildl. Soc. Bull."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"20140754","DOI":"10.1098\/rsbl.2014.0754","article-title":"Approaching birds with drones: First experiments and ethical guidelines","volume":"11","author":"Vas","year":"2015","journal-title":"Biol. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"e1831","DOI":"10.7717\/peerj.1831","article-title":"Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: Disturbance effects and species recognition","volume":"4","author":"McEvoy","year":"2016","journal-title":"PeerJ"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1642\/AUK-16-216.1","article-title":"The feasibility of counting songbirds using unmanned aerial vehicles","volume":"134","author":"Wilson","year":"2017","journal-title":"Auk"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Gonzalez, L.F., Montes, G.A., Puig, E., Johnson, S., Mengersen, K., and Gaston, K.J. (2016). Unmanned aerial vehicles (uavs) and artificial intelligence revolutionizing wildlife monitoring and conservation. Sensors, 16.","DOI":"10.3390\/s16010097"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1111\/aje.12416","article-title":"Empirically testing the effectiveness of thermal imaging as a tool for identification of large mammals in the african bushveldt","volume":"56","author":"Goodenough","year":"2018","journal-title":"Afr. J. Ecol."},{"key":"ref_64","first-page":"102","article-title":"A low-cost technique for radio-tracking wildlife using a small standar unmanned aerial vehicle","volume":"5","author":"Tremblay","year":"2017","journal-title":"J. Unmanned Veh. Syst."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Webber, D., Hui, N., Kastner, R., and Schurgers, C. (2017, January 26\u201329). Radio receiver design for unmanned aerial wildlife tracking. Proceedings of the International Conference on Computing, Networking and Communications (ICNC), Santa Clara, CA, USA.","DOI":"10.1109\/ICCNC.2017.7876260"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Xue, Y., Wang, T., and Skidmore, A.K. (2017). Automatic counting of large mammals from very high resolution panchromatic satellite imagery. Remote Sens., 9.","DOI":"10.3390\/rs9090878"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Fretwell, P.T., LaRue, M.A., Morin, P., Kooyman, G.L., Wienecke, B., Ratcliffe, N., Fox, A.J., Fleming, A.H., Porter, C., and Trathan, P.N. (2012). An emperor penguin population estimate: The first global, synoptic survey of a species from space. PLoS ONE, 7.","DOI":"10.1371\/annotation\/32c246eb-3b73-4410-a44c-b41ddae11fc5"},{"key":"ref_68","unstructured":"Abileah, R., and Marine Technology, S. (2001, January 5\u20138). Use of high resolution space imagery to monitor the abundance, distribution, and migration patterns of marine mammal populations. Proceedings of the Annual Conference of the Marine-Technology-Society, Honolulu, HI, USA."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"McMahon, C.R., Howe, H., van den Hoff, J., Alderman, R., Brolsma, H., and Hindell, M.A. (2014). Satellites, the all-seeing eyes in the sky: Counting elephant seals from space. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0092613"},{"key":"ref_70","first-page":"832","article-title":"Flyways: Pioneering waterfowl management in north america","volume":"49","author":"Hawkins","year":"1984","journal-title":"Indian J. Med. Res."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1080\/00063657.2011.588195","article-title":"An automatic counter for aerial images of aggregations of large birds","volume":"58","author":"Descamps","year":"2011","journal-title":"Bird Study"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"15","DOI":"10.5751\/ACE-01205-130115","article-title":"An approach for using off-the-shelf object-based image analysis software to detect and count birds in large volumes of aerial imagery","volume":"13","author":"Chabot","year":"2018","journal-title":"Avian Conserv. Ecol."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.ecoinf.2012.12.001","article-title":"Remote sensing image data and automated analysis to describe marine bird distributions and abundances","volume":"14","author":"Groom","year":"2013","journal-title":"Ecol. Inform."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"51","DOI":"10.2193\/0091-7648(2006)34[51:AOATIT]2.0.CO;2","article-title":"Application of airborne thermal imagery to surveys of pacific walrus","volume":"34","author":"Burn","year":"2006","journal-title":"Wildl. Soc. Bull."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/BF02471993","article-title":"Use of modern infrared thermography for wildlife population surveys","volume":"19","author":"Garner","year":"1995","journal-title":"Environ. Manag."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"285","DOI":"10.32800\/abc.2012.35.0285","article-title":"Aerial ungulate surveys with a combination of infrared and high\u2013resolution natural colour images","volume":"35","author":"Franke","year":"2012","journal-title":"Anim. Biodivers. Conserv."},{"key":"ref_77","unstructured":"Israel, M. (2011, January 14\u201316). A uav-based roe deer fawn detection system. Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics, Gottingen, Germany."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.jembe.2017.12.005","article-title":"Radio tracking detects behavioral thermoregulation at a snail\u2019s pace","volume":"499","author":"Hayford","year":"2018","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_79","unstructured":"Landinfo Worldwide Mapping LLC. (2019, January 06). Buying Satellite Imagery: Pricing Information for High Resolution Satellite Imagery. Available online: http:\/\/www.landinfo.com\/satellite-imagery-pricing.html."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1007\/s13280-015-0714-0","article-title":"The social implications of using drones for biodiversity conservation","volume":"44","author":"Sandbrook","year":"2015","journal-title":"Ambio"},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Mulero-Pazmany, M., Jenni-Eiermann, S., Strebel, N., Sattler, T., Negro, J.J., and Tablado, Z. (2017). Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0178448"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1111\/j.1474-919X.2011.01177.x","article-title":"Fine-scale bird monitoring from light unmanned aircraft systems","volume":"154","author":"Bota","year":"2012","journal-title":"IBIS"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.cub.2016.04.001","article-title":"Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research","volume":"26","author":"Hodgson","year":"2016","journal-title":"Curr. Biol."},{"key":"ref_84","unstructured":"Resnik, D.B., and Elliott, K.C. (2018). Using drones to study human beings: Ethical and regulatory issues. Sci. Eng. Ethics, 1\u201312."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1007\/s00300-015-1838-1","article-title":"Measuring the influence of unmanned aerial vehicles on ad\u00e9lie penguins","volume":"39","author":"Mustafa","year":"2016","journal-title":"Polar Biol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"3054","DOI":"10.1080\/01431161.2017.1302115","article-title":"Uavs: Regulations and law enforcement","volume":"38","author":"Cracknell","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1007\/BF00237465","article-title":"Satellite remote-sensing in monitoring change of seabirds - use of spot image in king penguin population increase at ile aux cochons, crozet archipelago","volume":"15","author":"Guinet","year":"1995","journal-title":"Polar Biol."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"15","DOI":"10.3402\/polar.v17i1.6604","article-title":"Mapping seabird nesting habitats in franz josef land, russian high arctic, using digital landsat thematic mapper imagery","volume":"17","author":"Williams","year":"1998","journal-title":"Polar Res."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1111\/mms.12220","article-title":"An apparent population decrease, or change in distribution, of weddell seals along the victoria land coast","volume":"31","author":"Ainley","year":"2015","journal-title":"Mar. Mammal Sci."},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Leblanc, G., Francis, C., Soffer, R., Kalacska, M., and De Gea, J. (2016). Spectral reflectance of polar bear and other large arctic mammal pelts: Potential applications to remote sensing surveys. Remote Sens., 8.","DOI":"10.3390\/rs8040273"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"290","DOI":"10.2307\/3800428","article-title":"Experiments in aerial survey","volume":"40","author":"Caughley","year":"1976","journal-title":"J. Wildl. Manag."},{"key":"ref_92","unstructured":"International Whaling Commission (2019, May 21). Report of the Scientific Committee. Available online: https:\/\/iwc.int\/scientifc-committee-reports."},{"key":"ref_93","unstructured":"Norton-Griffiths, M. (1978). Counting Animals. Handbook No.1, African Wildlife Leadership Foundation."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Christiansen, P., Steen, K., J\u00f8rgensen, R., and Karstoft, H. (2014). Automated detection and recognition of wildlife using thermal cameras. Sensors, 14.","DOI":"10.3390\/s140813778"},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Torney, C.J., Dobson, A.P., Borner, F., Lloydjones, D.J., Moyer, D., Maliti, H.T., Mwita, M., Fredrick, H., Borner, M., and Hopcraft, J.G.C. (2016). Assessing rotation-invariant feature classification for automated wildebeest population counts. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0156342"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.1080\/01431161.2017.1280639","article-title":"Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems","volume":"38","author":"Longmore","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_97","first-page":"10","article-title":"Communication in the presence of noise","volume":"37","author":"Shannon","year":"1949","journal-title":"Proc. Inst. Radio Eng."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.ecoinf.2015.10.008","article-title":"Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle","volume":"30","author":"Liu","year":"2015","journal-title":"Ecol. Inform."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/MGRS.2017.2762307","article-title":"Deep learning in remote sensing: A comprehensive review and list of resources","volume":"5","author":"Zhu","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.rse.2018.06.028","article-title":"Detecting mammals in uav images: Best practices to address a substantially imbalanced dataset with deep learning","volume":"216","author":"Kellenberger","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Mulero-Pazmany, M., Stolper, R., van Essen, L.D., Negro, J.J., and Sassen, T. (2014). Remotely piloted aircraft systems as a rhinoceros anti-poaching tool in africa. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0083873"},{"key":"ref_102","unstructured":"Liao, X. (2018, January 19). The Second Chief Meeting of the Research Center of Uav Application and Regulation, Cas. Available online: http:\/\/www.igsnrr.ac.cn\/xwzx\/zhxw\/201709\/t20170901_4853837.html."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"2737","DOI":"10.1080\/01431161.2017.1286059","article-title":"A uk civil aviation authority (caa)-approved operations manual for safe deployment of lightweight drones in research","volume":"38","author":"Cunliffe","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1007\/s10980-018-0637-9","article-title":"Integrating animal movement with habitat suitability for estimating dynamic migratory connectivity","volume":"33","author":"Toor","year":"2018","journal-title":"Landsc. Ecol."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.agrformet.2018.10.013","article-title":"Ear density estimation from high resolution rgb imagery using deep learning technique","volume":"264","author":"Madec","year":"2019","journal-title":"Agric. For. Meteorol."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_107","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., and Girshick, R. (2018). Mask R-CNN. IEEE Trans. Pattern Anal. Mach. Intell., 2961\u20132969."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1002\/rse2.22","article-title":"Bridging disciplines with training in remote sensing for animal movement: An attendee perspective","volume":"3","author":"Clark","year":"2016","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_109","unstructured":"China State Administration of Forestry (2017, December 07). Notifications of the Relevant Work of the State Forestry Administration on the Full Start of the Second Investigation of Terrestrial Wildlife Resources, Available online: http:\/\/www.forestry.gov.cn\/portal\/main\/govfile\/13\/govfile_1817.htm."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/11\/1308\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:55:18Z","timestamp":1760187318000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/11\/1308"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,1]]},"references-count":109,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2019,6]]}},"alternative-id":["rs11111308"],"URL":"https:\/\/doi.org\/10.3390\/rs11111308","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,1]]}}}