Unmanned aircraft systems for protected areas: Gadgetry or necessity?
Tài liệu tham khảo
Abdul Mutalib, 2019, Feasibility of thermal imaging using unmanned aerial vehicles to detect Bornean orangutans, Journal of Sustainability Science and Management, 14, 182
Afán, 2018, Drone monitoring of breeding waterbird populations: The case of the glossy ibis, Drones, 2, 1
Aldous, 2020, Mapping complex coastal wetland mosaics in Gabon for informed ecosystem management: Use of object-based classification, Remote Sensing in Ecology and Conservation, 7, 64, 10.1002/rse2.161
Alexander, 2018, Locating emergent trees in a tropical rainforest using data from an Unmanned Aerial Vehicle (UAV), International Journal of Applied Earth Observation and Geoinformation, 72, 86, 10.1016/j.jag.2018.05.024
Ancin‐Murguzur, 2020, Drones as a tool to monitor human impacts and vegetation changes in parks and protected areas, Remote Sensing in Ecology and Conservation, 6, 105, 10.1002/rse2.127
Anderson, 2013, Lightweight unmanned aerial vehicles will revolutionize spatial ecology, Frontiers in Ecology and the Environment, 11, 138, 10.1890/120150
Asbridge, 2019, Assessing the distribution and drivers of mangrove dieback in Kakadu National Park, northern Australia, Estuarine, Coastal and Shelf Science, 228, 106353, 10.1016/j.ecss.2019.106353
Balková, 2020, Visual exposure of rock outcrops in the context of a forest disease outbreak simulation based on a canopy height model and spectral information acquired by an unmanned aerial vehicle, ISPRS International Journal of Geo-Information, 9, 10.3390/ijgi9050325
Barasona, 2014, Unmanned aircraft systems for studying spatial abundance of ungulates: Relevance to spatial epidemiology, PLoS ONE, 9, 10.1371/journal.pone.0115608
Barnas, 2018, Evaluating behavioral responses of nesting lesser snow geese to unmanned aircraft surveys, Ecology and Evolution, 8, 1328, 10.1002/ece3.3731
Barr, 2020, Drone Surveys Do Not Increase Colony-wide Flight Behaviour at Waterbird Nesting Sites, But Sensitivity Varies Among Species, Scientific Reports, 10, 10.1038/s41598-020-60543-z
Bennitt, 2019, Terrestrial mammalian wildlife responses to Unmanned Aerial Systems approaches, Scientific Reports, 9, 10.1038/s41598-019-38610-x
Bhardwaj, 2016, UAVs as remote sensing platform in glaciology: Present applications and future prospects, Remote Sensing of Environment, 175, 196, 10.1016/j.rse.2015.12.029
Borrelle, 2017, Will drones reduce investigator disturbance to surface-nesting birds?, Marine Ornithology, 45, 89
Brisson-Curadeau, 2017, Seabird species vary in behavioural response to drone census, Scientific Reports, 7, 10.1038/s41598-017-18202-3
Brooke, 2015, Testing marine conservation applications of unmanned aerial systems (UAS) in a remote marine protected area, Journal of Unmanned Vehicle Systems, 3, 237, 10.1139/juvs-2015-0011
Cagnazzo, 2020, Geostatistics and structure from motion techniques for coastal pollution assessment along the Policoro Coast (Southern Italy), Geosciences (Switzerland), 10, 28
Castellanos-Galindo, 2019, Habitat mapping of remote coasts: Evaluating the usefulness of lightweight unmanned aerial vehicles for conservation and monitoring, Biological Conservation, 239, 108282, 10.1016/j.biocon.2019.108282
Castillo, 2018, Photosynthetic activity and Canopy Height Model determined by Uav Rgb and IR close-range remote-sensing in the high andean polylepis relict forest, Ecuador, Bulletin of the Transilvania University of Brasov, Series II: Forestry, Wood Industry, Agricultural Food Engineering, 11, 1
Chabot, 2015, Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?, Journal of Unmanned Vehicle Systems, 3, 137, 10.1139/juvs-2015-0021
Chio, 2017, Preliminary study of UAS equipped with thermal camera for volcanic geothermal monitoring in Taiwan, Sensors (Switzerland), 17, 10.3390/s17071649
Clarke, 2019, Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery, Ecological Informatics, 50, 136, 10.1016/j.ecoinf.2019.01.011
Cody, 2020, Geomorphology and geological controls of an active paraglacial rockslide in the New Zealand Southern Alps, Landslides, 17, 755, 10.1007/s10346-019-01316-2
Cwiakala, 2018, Assessment of the Possibility of Using Unmanned Aerial Vehicles (UAVs) for the Documentation of Hiking Trails in Alpine Areas, Sensors, 18
Dabski, 2020, Mapping glacier forelands based on UAV BVLOS operation in Antarctica, Remote Sensing, 12, 10.3390/rs12040630
Dai, 2018, UAV Photogrammetry for Elevation Monitoring of Intertidal Mudflats, Journal of Coastal Research, 85, 236, 10.2112/SI85-048.1
Dale, 2020, The use of small-Unmanned Aerial Systems for high resolution analysis for intertidal wetland restoration schemes, Ecological Engineering, 143, 105695, 10.1016/j.ecoleng.2019.105695
De Luca, 2018, Marine benthic forms of the marine protected area capo caccia-isola piana (Sardinia, Italy), Journal of Maps, 14, 421, 10.1080/17445647.2018.1486242
Depraz, 2017, Conflicts, acceptance problems and participative policies in the national parks of the French Alps, Eco.mont, 9, 46
Díaz-Varela, 2018, Sub-metric analysis of vegetation structure in bog-heathland mosaics using very high resolution RPAS imagery, Ecological Indicators, 89, 861, 10.1016/j.ecolind.2017.11.068
Di Minin, 2015, Global protected area expansion: Creating more than paper parks, BioScience, 65, 637, 10.1093/biosci/biv064
Dimitrov, 2019, Integrated model of application of remote sensing and field investigations for sanitary status assessment of forest stands in two reserves in West Balkan Range, Bulgaria, Proceedings of SPIE - The International Society for Optical Engineering, 11174
Ditmer, 2015, Bears Show a Physiological but Limited Behavioral Response to Unmanned Aerial Vehicles, Current Biology, 25, 2278, 10.1016/j.cub.2015.07.024
2008
2002
EASA – European Aviation Safety Agency (2020). Civil drones (Unmanned aircraft). Retrieved from https://www.easa.europa.eu/easa-and-you/civil-drones-rpas. Accessed May 19, 2021.
Edmonds, 2019, Proceedings of the Geologists' Association, 130, 473, 10.1016/j.pgeola.2017.08.007
Eugenio, 2020, Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon, Remote Sensing, 12, 10.3390/rs12020284
Fürstenau Oliveira, 2017, Improving river dolphin monitoring using aerial surveys, Ecosphere, 8, 10.1002/ecs2.1912
Fugazza, 2015, High-resolution mapping of glacier surface features. the uav survey of the forni glacier (Stelvio National Park, Italy), Geografia Fisica e Dinamica Quaternaria, 38, 25
Fugazza, 2018, Combination of UAV and terrestrial photogrammetry to assess rapid glacier evolution and map glacier hazards, Natural Hazards and Earth System Sciences, 18, 1055, 10.5194/nhess-18-1055-2018
Gallik, 2016, sUAS and their application in observing geomorphological processes, Solid Earth, 7, 1033, 10.5194/se-7-1033-2016
Goebel, 2015, A small unmanned aerial system for estimateng abundance and size of Antarctic predators, Polar Biology, 38, 619, 10.1007/s00300-014-1625-4
Gonçalves, 2016, Evaluating an unmanned aerial vehicle-based approach for assessing habitat extent and condition in fine-scale early successional mountain mosaics, Applied Vegetation Science, 19, 132, 10.1111/avsc.12204
Gray, 2019, A convolutional neural network for detecting sea turtles in drone imagery, Methods in Ecology and Evolution, 10, 345, 10.1111/2041-210X.13132
Guo, 2018, Application of UAV Remote Sensing for a Population Census of Large Wild Herbivores-Taking the Headwater Region of the Yellow River as an Example, Remote Sensing, 10, 10.3390/rs10071041
Ha, 2020, Suitability assessment of the tools under a three-dimension system of landscape monitoring: A case study in the NWHS of Bogda, Sustainability (Switzerland), 12
Hahn, 2017, Unmanned aerial vehicles mitigate human-elephant conflict on the borders of Tanzanian Parks: A case study, ORYX, 51, 513, 10.1017/S0030605316000946
Hamylton, 2020, Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches, International Journal of Applied Earth Observation and Geoinformation, 89, 102085, 10.1016/j.jag.2020.102085
Hecke, C., Jungmeier, M., & Krainer, D. (2017): Patterns of Wilderness – en route to compiling an inventory of the national processes in Gesäuse National Park (Ennstaler Alps). 6th Symposium For Research in Protected Areas, 2nd-3rd November 2017, Salzburg, Austria.
Hese, 2019, UAV based multi seasonal deciduous tree species analysis in the hainich national park using multi temporal and point cloud curvature features, International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42, 363
Hodgson, 2016, Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research, Current Biology, 26, R404, 10.1016/j.cub.2016.04.001
Hödl, 2017, Geocaching in Austrian National Parks, Eco.mont, 9, 42
Hu, 2020, Estimating the population size of migrating tibetan antelopes pantholops hodgsonii with unmanned aerial vehicles, ORYX, 54, 101, 10.1017/S0030605317001673
Humle, 2014, Biology's drones: Undermined by fear, Science, 344, 10.1126/science.344.6190.1351-a
IUCN - International Union for Conservation of Nature (1994). Guidelines for Protected Area Management Categories. IUCN, Gland: Switzerland and Cambridge: UK.
Ivošević, 2015, The use of conservation drones in ecology and wildlife research, Journal of Ecology and Environment, 38, 113, 10.5141/ecoenv.2015.012
Jenny, 2010, Collisions between golden eagles aquila chrysaetos and aircraft in the alps, Ornithologische Beobachter, 107, 101
Jiménez López, 2019, Drones for Conservation in Protected Areas, Present and Future. Drones, 3
Johnston, 2016, Assessing the availability of aerially delivered baits to feral cats through rainforest canopy using unmanned aircraft, Journal of Unmanned Vehicle Systems, 4, 276, 10.1139/juvs-2016-0012
Jones, 2006, An assessment of small unmanned aerial vehicles for wildlife research, Wildlife Society Bulletin, 34, 750, 10.2193/0091-7648(2006)34[750:AAOSUA]2.0.CO;2
Kapetanović, 2020, Autonomous vehicles mapping plitvice lakes national park, Croatia, Remote Sensing, 12, 10.3390/rs12223683
Klouček, 2019, The use of UAV mounted sensors for precise detection of bark beetle infestation, Remote Sensing, 11, 10.3390/rs11131561
Koh, 2012, Dawn of drone ecology: Low-cost autonomous aerial vehicles for conservation, Tropical Conservation Science, 5, 121, 10.1177/194008291200500202
Kohv, 2017, Assessing multitemporal water-level changes with uav-based photogrammetry, Photogrammetric Record, 32, 424, 10.1111/phor.12214
Koucká, 2020, Multispectral data acquisition using UAV in the Jizerka catchment (Jizerské hory Mts.). Geoscience, Research Reports, 53, 59
Laborie, 2021, Behavioural impact assessment of unmanned aerial vehicles on Weddell seals (Leptonychotes weddellii), Journal of Experimental Marine Biology and Ecology, 536, 151509, 10.1016/j.jembe.2020.151509
Lehnert, 2018, A case study on fog/low stratus occurrence at las lomitas, atacama desert (Chile) as a water source for biological soil crusts, Aerosol and Air Quality Research, 18, 254, 10.4209/aaqr.2017.01.0021
Lendzioch, 2016, Tracking forest and open area effects on snow accumulation by unmanned aerial vehicle photogrammetry, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41, 917
Lendzioch, 2019, Estimating snow depth and leaf area index based on UAV digital photogrammetry, Sensors (Switzerland), 19, 10.3390/s19051027
Lieb, 2008, Das Johnsbachtal - Werdegang und Dynamik im Formenbild eines zweigeteilten Tales, Schriften des Nationalparks Gesäuse, 3, 12
Liang, 2020, Seasonal variation in herd composition of the Formosan sika deer (Cervus nippon taiouanus) in a forest-grassland mosaic habitat of southern Taiwan, Global Ecology and Conservation, 24, 10.1016/j.gecco.2020.e01283
Linchant, 2015, Are unmanned aircraft systems (UAS) the future of wildlife monitoring? A review of accomplishments and challenges, Mammal Review, 45, 239, 10.1111/mam.12046
Linchant, 2018, UAS imagery reveals new survey opportunities for counting hippos, PLoS ONE, 13, 10.1371/journal.pone.0206413
Liu, 2015, Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle, Ecological Informatics, 30, 170, 10.1016/j.ecoinf.2015.10.008
López-Jiménez, 2019, Columnar cactus recognition in aerial images using a deep learning approach, Ecological Informatics, 52, 131, 10.1016/j.ecoinf.2019.05.005
Mallmann, 2020, Vegetation index based in unmanned aerial vehicle (UAV) to improve the management of invasive plants in Protected Areas, Southern Brazil, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42, 521
Manfreda, 2018, On the use of unmanned aerial systems for environmental monitoring, Remote Sensing, 10, 10.3390/rs10040641
Manfredo, 2017, Why social values cannot be changed for the sake of conservation, Conservation Biology, 31, 772, 10.1111/cobi.12855
Mangewa, 2019, Integrating UAV Technology in an Ecological Monitoring System for Community Wildlife Management Areas in Tanzania, Sustainability, 11, 10.3390/su11216116
Maringer, 2016, 10 Years of research in Gesäuse National Park: An overview of the research publications of the young protected area, Eco.mont, 8, 62
Marvin, 2016, Integrating technologies for scalable ecology and conservation, Global Ecology and Conservation, 7, 262, 10.1016/j.gecco.2016.07.002
McEvoy, 2016, Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: Disturbance effects and species recognition, PeerJ, 2016
McMahon, 2014, Satellites, the all-seeing eyes in the sky: Counting elephant seals from space, PLoS ONE, 9, 10.1371/journal.pone.0092613
Miranda, 2020, Monitoring recent changes of vegetation in Fildes Peninsula (King George Island, Antarctica) through satellite imagery guided by UAV surveys, Sci. Total Environ., 704, 10.1016/j.scitotenv.2019.135295
Miřijovský, 2015, Spatiotemporal evolution of a unique preserved meandering system in Central Europe - The Morava River near Litovel, Catena, 127, 300, 10.1016/j.catena.2014.12.006
Mohd Razali, 2020, Mapping Mangrove Density for Conservation of the Ramsar Site in Peninsular Malaysia, International Journal of Conservation Science, 11, 153
Mulero‐Pázmány, 2015, Unmanned Aircraft Systems complement biologging in spatial ecology studies, Ecology and Evolution, 5, 4808, 10.1002/ece3.1744
Mulero-Pázmány, 2017, Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review, PLoS ONE, 12, 10.1371/journal.pone.0178448
Müllerová, 2017, Unmanned aircraft in nature conservation: An example from plant invasions, International Journal of Remote Sensing, 38, 2177, 10.1080/01431161.2016.1275059
Nahirnick, 2019, Mapping with confidence; delineating seagrass habitats using Unoccupied Aerial Systems (UAS), Remote Sensing in Ecology and Conservation, 5, 121, 10.1002/rse2.98
Natesan, 2020, Individual tree species identification using dense convolutional network (Densenet) on multitemporal RGB images from UAV, Journal of Unmanned Vehicle Systems, 8, 310, 10.1139/juvs-2020-0014
Nationalpark Gesäuse (Ed.) (2020). Informationen zum Luftraum des Nationalpark Gesäuse. Retrieved from https://nationalpark.co.at/fliegerei. Accessed May 21, 2021.
Ngo, 2020, UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam. E3S Web of Conferences, 203
Noh, 2019, Tractor Beam: Safe-hijacking of Consumer Drones with Adaptive GPS Spoofing, ACM Transactions on Privacy and Security, 22, 1, 10.1145/3309735
Ogden, 2013, Drone Ecology, BioScience, 63, 776, 10.1093/bioscience/63.9.776
Paneque-Gálvez, 2014, Small drones for community-based forest monitoring: An assessment of their feasibility and potential in tropical areas, Forests, 5, 1481, 10.3390/f5061481
Pajares, 2015, Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs), Photogrammetric Engineering & Remote Sensing, 81, 281, 10.14358/PERS.81.4.281
Pieraccini, 2017, Beyond marine paper parks? Regulation theory to assess and address environmental non-compliance, Aquatic Conservation: Marine and Freshwater Ecosystems, 27, 177, 10.1002/aqc.2632
Popa, 2016, Salt diapir exotic blocks from Bădila Nature Reserve (Buzău Land Geopark, Romania). A drone-based textural evaluation, Geo-Eco-Marina, 22, 119
Pröbstl, 2003, NATURA 2000 - The influence of the European directives on the development of nature-based sport and outdoor recreation in mountain areas, Journal for Nature Conservation, 11, 340, 10.1078/1617-1381-00066
Pröbstl-Haider, 2014, The role of protected areas in destination choice in the European Alps, Zeitschrift fur Wirtschaftsgeographie, 58, 144, 10.1515/zfw.2014.0010
Prošek, 2019, UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?, International Journal of Applied Earth Observation and Geoinformation, 75, 151, 10.1016/j.jag.2018.10.009
Prutsch, 2008, Strategies for biodiversity protection - Comparison of 'natura 2000 ' in Europe and 'species at risk' in Canada, Naturschutz und Landschaftsplanung, 40, 15
Rascher, 2018, Impacts of gravel mining and renaturation measures on the sediment flux and budget in an alpine catchment (Johnsbach Valley, Austria), Geomorphology, 318, 404, 10.1016/j.geomorph.2018.07.009
Reintsma, 2018, Preliminary Evaluation of Behavioral Response of Nesting Waterbirds to Small Unmanned Aircraft Flight, Waterbirds, 41, 326, 10.1675/063.041.0314
Rife, 2013, When good intentions are not enough … Insights on networks of “paper park” marine protected areas, Conservation Letters, 6, 200, 10.1111/j.1755-263X.2012.00303.x
Rivas-Torres, 2018, A methodology for mapping native and invasive vegetation coverage in archipelagos: An example from the Galápagos Islands, Progress in Physical Geography, 42, 83, 10.1177/0309133317752278
Röder, 2018, Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests, International Journal of Remote Sensing, 39, 5288, 10.1080/01431161.2018.1441568
Romero, 2016
Rominger, 2019, Application of UAV-Based Methodology for Census of an Endangered Plant Species in a Fragile Habitat, Remote Sensing, 11, 10.3390/rs11060719
Ruessink, 2018, Coastal dune dynamics in response to excavated foredune notches, Aeolian Research, 31, 3, 10.1016/j.aeolia.2017.07.002
Rümmler, 2016, Measuring the influence of unmanned aerial vehicles on Adélie penguins, Polar Biology, 39, 1329, 10.1007/s00300-015-1838-1
Safonova, 2019, Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning, Remote Sensing, 11, 10.3390/rs11060643
Sandbrook, 2015, The social implications of using drones for biodiversity conservation, Ambio, 44, 636, 10.1007/s13280-015-0714-0
Sanderson, 2008, Unmanned craft chart the Antarctic winter, Nature News
Sandino, 2018, UAVs and machine learning revolutionising invasive grass and vegetation surveys in remote arid lands, Sensors (Switzerland), 18, 10.3390/s18020605
Scher, 2020, Application of remote sensing technology to estimate productivity and assess phylogenetic heritability, Applications in Plant Sciences, 8, 10.1002/aps3.11401
Schiffman, 2014, Drones Flying High as New Tool for Field Biologists, Science, 344, 10.1126/science.344.6183.459
Schiefer, 2020, Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks, ISPRS Journal of Photogrammetry and Remote Sensing, 170, 205, 10.1016/j.isprsjprs.2020.10.015
Schofield, 2017, Detecting elusive aspects of wildlife ecology using drones: New insights on the mating dynamics and operational sex ratios of sea turtles, Functional Ecology, 31, 2310, 10.1111/1365-2435.12930
Scholefield, 2019, Estimating habitat extent and carbon loss from an eroded northern blanket bog using UAV derived imagery and topography, Progress in Physical Geography, 43, 282, 10.1177/0309133319841300
Schoville, 2018, Preserving genetic connectivity in the European Alps protected area network, Biological Conservation, 218, 99, 10.1016/j.biocon.2017.12.017
Schöttl, S. (2017). Das Potenzial von UAV-Daten zur Erfassung der Sedimentdynamik: eine Fallstudie aus dem Nationalpark Gesäuse. Unpublished Master Thesis, University of Graz.
Schraml, 2015, Debris-flow activity in five adjacent gullies in a limestone mountain range, Geochronometria, 42, 60, 10.1515/geochr-2015-0007
Seier, 2017, UAS-based change detection of the glacial and proglacial transition zone at Pasterze Glacier, Austria, Remote Sensing, 9, 10.3390/rs9060549
Seier, 2020, Riverine sediment changes and channel pattern of a gravel-bed mountain torrent, Remote Sensing, 12, 10.3390/rs12183065
Smigaj, 2019, Canopy temperature from an Unmanned Aerial Vehicle as an indicator of tree stress associated with red band needle blight severity, Forest Ecology and Management, 433, 699, 10.1016/j.foreco.2018.11.032
Smith, 2015, Assessment of known impacts of unmanned aerial systems (Uas) on marine mammals: Data gaps and recommendations for researchers in the united states, Journal of Unmanned Vehicle Systems, 4, 31, 10.1139/juvs-2015-0017
Somers, 2016, Quantifying groundwater-surface water interactions in a proglacial valley, Cordillera Blanca, Peru, Hydrol. Process., 30, 2915, 10.1002/hyp.10912
Sona, 2014, Experimental analysis of different software packages for orientation and digital surface modelling from UAV images, Earth Science Informatics, 7, 97, 10.1007/s12145-013-0142-2
Stark, 2018, Combining drones and satellite tracking as an effective tool for informing policy change in riparian habitats: A proboscis monkey case study, Remote Sensing in Ecology and Conservation, 4, 44, 10.1002/rse2.51
Strumia, 2020, Monitoring of plant species and communities on coastal cliffs: Is the use of unmanned aerial vehicles suitable?, Diversity, 12, 149, 10.3390/d12040149
Suo, 2019, Coastal Dune Vegetation Mapping Using a Multispectral Sensor Mounted on an UAS, Remote Sensing, 11, 10.3390/rs11151814
Sykora-Bodie, 2017, Quantifying Nearshore Sea Turtle Densities: Applications of Unmanned Aerial Systems for Population Assessments, Scientific Reports, 7, 10.1038/s41598-017-17719-x
Takayama, 2020, International Journal of Remote Sensing, 41, 3070, 10.1080/01431161.2019.1698783
Thapa, 2018, Counting crocodiles from the sky: Monitoring the critically endangered gharial (Gavialis gangeticus) population with an unmanned aerial vehicle (UAV), Journal of Unmanned Vehicle Systems, 6, 71, 10.1139/juvs-2017-0026
Urban, 2019, The Suitability of UAS for Mass Movement Monitoring Caused by Torrential Rainfall-A Study on the Talus Cones in the Alpine Terrain in High Tatras, Slovakia, Isprs International Journal of Geo-Information, 8, 10.3390/ijgi8080317
van Andel, 2015, Locating chimpanzee nests and identifying fruiting trees with an unmanned aerial vehicle, American Journal of Primatology, 77, 1122, 10.1002/ajp.22446
Vas, 2015, Approaching birds with drones: First experiments and ethical guidelines, Biology Letters, 11, 20140754, 10.1098/rsbl.2014.0754
Ventura, 2018, Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA), Remote Sensing, 10, 10.3390/rs10091331
Von Ruschkowski, 2011, From Conflict to Partnership? Interactions between Protected Areas, Local Communities and Operators of Tourism Enterprises in Two German National Park Regions, Journal of Tourism and Leisure Studies, 17, 147
Wang, 2019, Surveying Wild Animals from Satellites, Manned Aircraft and Unmanned Aerial Systems (UASs): A Review, Remote Sensing, 11, 1308, 10.3390/rs11111308
Weimerskirch, 2018, Flights of drones over sub-Antarctic seabirds show species- and status-specific behavioural and physiological responses, Polar Biology, 41, 259, 10.1007/s00300-017-2187-z
Weissensteiner, 2015, Low-budget ready-to-fly unmanned aerial vehicles: An effective tool for evaluating the nesting status of canopy-breeding bird species, Journal of Avian Biology, 46, 425, 10.1111/jav.00619
Wich, 2018
Witczuk, 2018, Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forests - preliminary results, International Journal of Remote Sensing, 39, 5504, 10.1080/01431161.2017.1390621
Witt, 2020, Real-time drone derived thermal imagery outperforms traditional survey methods for an arboreal forest mammal, PLoS ONE, 15, 10.1371/journal.pone.0242204
Woellner, 2019, Saving species, time and money: Application of unmanned aerial vehicles (UAVs) for monitoring of an endangered alpine river specialist in a small nature reserve, Biological Conservation, 233, 162, 10.1016/j.biocon.2019.02.037
Wright, 2018, Harnessing multiple technologies to combat deforestation – a case study in the alto mayo protected forest in San Martin, Peru, Parks, 24, 79, 10.2305/IUCN.CH.2018.PARKS-24-2TMW.en
Yin, 2019, Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges, Remote Sensing of Environment, 223, 34, 10.1016/j.rse.2018.12.034
Zapico, 2020, Stabilization by geomorphic reclamation of a rotational landslide in an abandoned mine next to the Alto Tajo Natural Park, Engineering Geology, 264, 105321, 10.1016/j.enggeo.2019.105321
Zhang, 2012, The application of small unmanned aerial systems for precision agriculture: A review, Precision Agriculture, 13, 693, 10.1007/s11119-012-9274-5
Zhang, 2016, Seeing the forest from drones: Testing the potential of lightweight drones as a tool for long-term forest monitoring, Biological Conservation, 198, 60, 10.1016/j.biocon.2016.03.027
Zhang, 2020, Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning, ISPRS Journal of Photogrammetry and Remote Sensing, 169, 280, 10.1016/j.isprsjprs.2020.09.025
Zhu, 2019, Integrating UAV optical imagery and LiDAR data for assessing the spatial relationship between mangrove and inundation across a subtropical estuarine wetland, ISPRS Journal of Photogrammetry and Remote Sensing, 149, 146, 10.1016/j.isprsjprs.2019.01.021