Drones for Conservation in Protected Areas: Present and Future

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‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

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Guidelines for applying protected area management categories

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Unmanned aerial systems for photogrammetry and remote sensing: A review

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The performance and potential of protected areas

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Global conservation outcomes depend on marine protected areas with five key features

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Effectiveness of Parks in Protecting Tropical Biodiversity

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Classifications, applications, and design challenges of drones: A review

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Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry

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Measuring the extent and effectiveness of protected areas as an indicator for meeting global biodiversity targets

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A review of supervised object-based land-cover image classification

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On the Use of Unmanned Aerial Systems for Environmental Monitoring

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A Standard Lexicon for Biodiversity Conservation: Unified Classifications of Threats and Actions

SALAFSKY, N., SALZER, D., STATTERSFIELD, A. J., HILTON‐TAYLOR, C., NEUGARTEN, R., BUTCHART, S. H. M., COLLEN, B., COX, N., MASTER, L. L., O'CONNOR, S., et al. (2008) · Conservation Biology · doi:10.1111/j.1523-1739.2008.00937.x · Cited by 840

Environmental Sensor Networks: A revolution in the earth system science?

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An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds

Turner, D., Lucieer, A., & Watson, C. (2012) · Remote Sensing · doi:10.3390/rs4051392 · Cited by 744

A Global Analysis of Protected Area Management Effectiveness

Leverington, F., Costa, K. L., Pavese, H., Lisle, A., & Hockings, M. (2010) · Environmental Management · doi:10.1007/s00267-010-9564-5 · Cited by 736

Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation

Koh, L. P., & Wich, S. A. (2012) · Tropical Conservation Science · doi:10.1177/194008291200500202 · Cited by 732

Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds

Wallace, L., Lucieer, A., Malenovský, Z., Turner, D., & Vopěnka, P. (2016) · Forests · doi:10.3390/f7030062 · Cited by 700

UAV photogrammetry for topographic monitoring of coastal areas

Gonçalves, J. A., & Henriques, R. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.02.009 · Cited by 625

A review of the environmental fate and effects of hazardous substances released from electrical and electronic equipments during recycling: Examples from China and India

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Review of the Current State of UAV Regulations

Stöcker, C., Bennett, R., Nex, F., Gerke, M., & Zevenbergen, J. (2017) · Remote Sensing · doi:10.3390/rs9050459 · Cited by 596

Are unmanned aircraft systems (UAS s) the future of wildlife monitoring? A review of accomplishments and challenges

Linchant, J., Lisein, J., Semeki, J., Lejeune, P., & Vermeulen, C. (2015) · Mammal Review · doi:10.1111/mam.12046 · Cited by 500

Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco

d’Oleire-Oltmanns, S., Marzolff, I., Peter, K. D., & Ries, J. B. (2012) · Remote Sensing · doi:10.3390/rs4113390 · Cited by 499

Precision wildlife monitoring using unmanned aerial vehicles

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Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation

Gonzalez, L., Montes, G., Puig, E., Johnson, S., Mengersen, K., & Gaston, K. (2016) · Sensors · doi:10.3390/s16010097 · Cited by 470

Drones count wildlife more accurately and precisely than humans

Hodgson, J. C., Mott, R., Baylis, S. M., Pham, T. T., Wotherspoon, S., Kilpatrick, A. D., Raja Segaran, R., Reid, I., Terauds, A., & Koh, L. P. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12974 · Cited by 463

Geospatial Big Data: Challenges and Opportunities

Lee, J.-G., & Kang, M. (2015) · Big Data Research · doi:10.1016/j.bdr.2015.01.003 · Cited by 453

UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA

Sankey, T., Donager, J., McVay, J., & Sankey, J. B. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.04.007 · Cited by 447

Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges

Whitehead, K., & Hugenholtz, C. H. (2014) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2014-0006 · Cited by 428

An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives

Villa, T., Gonzalez, F., Miljievic, B., Ristovski, Z., & Morawska, L. (2016) · Sensors · doi:10.3390/s16071072 · Cited by 419

Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications

Finn, R. L., & Wright, D. (2012) · Computer Law & Security Review · doi:10.1016/j.clsr.2012.01.005 · Cited by 413

Waging a war to save biodiversity: the rise of militarized conservation

DUFFY, R. (2014) · International Affairs · doi:10.1111/1468-2346.12142 · Cited by 387

Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level

Näsi, R., Honkavaara, E., Lyytikäinen-Saarenmaa, P., Blomqvist, M., Litkey, P., Hakala, T., Viljanen, N., Kantola, T., Tanhuanpää, T., & Holopainen, M. (2015) · Remote Sensing · doi:10.3390/rs71115467 · Cited by 381

Small Drones for Community-Based Forest Monitoring: An Assessment of Their Feasibility and Potential in Tropical Areas

Paneque-Gálvez, J., McCall, M., Napoletano, B., Wich, S., & Koh, L. (2014) · Forests · doi:10.3390/f5061481 · Cited by 362

Measuring devices on wild animals: what constitutes acceptable practice?

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Bears Show a Physiological but Limited Behavioral Response to Unmanned Aerial Vehicles

Ditmer, M. A., Vincent, J. B., Werden, L. K., Tanner, J. C., Laske, T. G., Iaizzo, P. A., Garshelis, D. L., & Fieberg, J. R. (2015) · Current Biology · doi:10.1016/j.cub.2015.07.024 · Cited by 350

Emerging Technologies to Conserve Biodiversity

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UAS, sensors, and data processing in agroforestry: a review towards practical applications

Pádua, L., Vanko, J., Hruška, J., Adão, T., Sousa, J. J., Peres, E., & Morais, R. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1297548 · Cited by 345

Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology

Christie, K. S., Gilbert, S. L., Brown, C. L., Hatfield, M., & Hanson, L. (2016) · Frontiers in Ecology and the Environment · doi:10.1002/fee.1281 · Cited by 341

Effective enforcement in a conservation area.

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Detecting mammals in UAV images: best practices to address a substantially imbalanced dataset with deep learning

Kellenberger, B., Marcos, D., & Tuia, D. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.06.028 · Cited by 335

Conserving Africa’s rain forests: problems in protected areas and possible solutions

Struhsaker, T. T., Struhsaker, P. J., & Siex, K. S. (2005) · Biological Conservation · doi:10.1016/j.biocon.2004.10.007 · Cited by 326

Remotely Piloted Aircraft Systems as a Rhinoceros Anti-Poaching Tool in Africa

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Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments

Laliberte, A. S., Goforth, M. A., Steele, C. M., et al. (2011) · Remote Sensing · doi:10.3390/rs3112529 · Cited by 322

Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review

Mulero-Pázmány, M., Jenni-Eiermann, S., Strebel, N., Sattler, T., Negro, J. J., & Tablado, Z. (2017) · PLOS ONE · doi:10.1371/journal.pone.0178448 · Cited by 319

Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling

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Human–wildlife conflict and gender in protected area borderlands: A case study of costs, perceptions, and vulnerabilities from Uttarakhand (Uttaranchal), India

Ogra, M. V. (2008) · Geoforum · doi:10.1016/j.geoforum.2007.12.004 · Cited by 300

Approaching birds with drones: first experiments and ethical guidelines

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Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?

Chabot, D., & Bird, D. M. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2015-0021 · Cited by 286

Seeing the forest from drones: Testing the potential of lightweight drones as a tool for long-term forest monitoring

Zhang, J., Hu, J., Lian, J., Fan, Z., Ouyang, X., & Ye, W. (2016) · Biological Conservation · doi:10.1016/j.biocon.2016.03.027 · Cited by 267

Why do we map threats? Linking threat mapping with actions to make better conservation decisions

Tulloch, V. J., Tulloch, A. I., Visconti, P., Halpern, B. S., Watson, J. E., Evans, M. C., Auerbach, N. A., Barnes, M., Beger, M., Chadès, I., et al. (2015) · Frontiers in Ecology and the Environment · doi:10.1890/140022 · Cited by 257

Estimates of reserve effectiveness are confounded by leakage

Ewers, R. M., & Rodrigues, A. S. L. (2008) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2007.11.008 · Cited by 244

The social implications of using drones for biodiversity conservation

Sandbrook, C. (2015) · Ambio · doi:10.1007/s13280-015-0714-0 · Cited by 242

Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system

Michez, A., Piégay, H., Lisein, J., Claessens, H., & Lejeune, P. (2016) · Environmental Monitoring and Assessment · doi:10.1007/s10661-015-4996-2 · Cited by 241

Five key attributes can increase marine protected areas performance for small-scale fisheries management

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Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA)

Ventura, D., Bonifazi, A., Gravina, M. F., Belluscio, A., & Ardizzone, G. (2018) · Remote Sensing · doi:10.3390/rs10091331 · Cited by 238

Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland

Lu, B., & He, Y. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.03.011 · Cited by 232

The potential use of unmanned aircraft systems (drones) in mountain search and rescue operations

Karaca, Y., Cicek, M., Tatli, O., Sahin, A., Pasli, S., Beser, M. F., & Turedi, S. (2018) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2017.09.025 · Cited by 219

Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery

Seymour, A. C., Dale, J., Hammill, M., Halpin, P. N., & Johnston, D. W. (2017) · Scientific Reports · doi:10.1038/srep45127 · Cited by 212

Drones as tools for monitoring beach topography changes in the Ligurian Sea (NW Mediterranean)

Casella, E., Rovere, A., Pedroncini, A., Stark, C. P., Casella, M., Ferrari, M., & Firpo, M. (2016) · Geo-Marine Letters · doi:10.1007/s00367-016-0435-9 · Cited by 204

Use of unmanned aerial vehicles for efficient beach litter monitoring

Martin, C., Parkes, S., Zhang, Q., Zhang, X., McCabe, M. F., & Duarte, C. M. (2018) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2018.04.045 · Cited by 203

Management effectiveness evaluation in protected areas: a global study

Leverington, F., Hockings, M. T., & Costa, K. L. (2008) · Cited by 199

Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries

Mlambo, R., Woodhouse, I., Gerard, F., & Anderson, K. (2017) · Forests · doi:10.3390/f8030068 · Cited by 192

How Essential Biodiversity Variables and remote sensing can help national biodiversity monitoring

Vihervaara, P., Auvinen, A.-P., Mononen, L., Törmä, M., Ahlroth, P., Anttila, S., Böttcher, K., Forsius, M., Heino, J., Heliölä, J., et al. (2017) · Global Ecology and Conservation · doi:10.1016/j.gecco.2017.01.007 · Cited by 191

Automated Detection and Recognition of Wildlife Using Thermal Cameras

Christiansen, P., Steen, K., Jørgensen, R., & Karstoft, H. (2014) · Sensors · doi:10.3390/s140813778 · Cited by 185

Evaluation of unmanned aerial vehicle shape, flight path and camera type for waterfowl surveys: disturbance effects and species recognition

McEvoy, J. F., Hall, G. P., & McDonald, P. G. (2016) · PeerJ · doi:10.7717/peerj.1831 · Cited by 185

Drones and digital photogrammetry: from classifications to continuums for monitoring river habitat and hydromorphology

Woodget, A. S., Austrums, R., Maddock, I. P., & Habit, E. (2017) · WIREs Water · doi:10.1002/wat2.1222 · Cited by 180

Drone Up! Quantifying Whale Behavior From a New Perspective Improves Observational Capacity

Torres, L. G., Nieukirk, S. L., Lemos, L., & Chandler, T. E. (2018) · Frontiers in Marine Science · doi:10.3389/fmars.2018.00319 · Cited by 179

Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research

Hodgson, J. C., & Koh, L. P. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.001 · Cited by 176

Small unmanned aerial vehicles (micro‐UAVs, drones) in plant ecology

Cruzan, M. B., Weinstein, B. G., Grasty, M. R., Kohrn, B. F., Hendrickson, E. C., Arredondo, T. M., & Thompson, P. G. (2016) · Applications in Plant Sciences · doi:10.3732/apps.1600041 · Cited by 173

In Situ Water Quality Measurements Using an Unmanned Aerial Vehicle (UAV) System

Koparan, C., Koc, A., Privette, C., & Sawyer, C. (2018) · Water · doi:10.3390/w10030264 · Cited by 173

An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China

Guo, Q., Su, Y., Hu, T., Zhao, X., Wu, F., Li, Y., Liu, J., Chen, L., Xu, G., Lin, G., et al. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1285083 · Cited by 172

Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring

Müllerová, J., Brůna, J., Bartaloš, T., Dvořák, P., Vítková, M., & Pyšek, P. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00887 · Cited by 170

Extensive Core Microbiome in Drone-Captured Whale Blow Supports a Framework for Health Monitoring

Apprill, A., Miller, C. A., Moore, M. J., Durban, J. W., Fearnbach, H., & Barrett-Lennard, L. G. (2017) · mSystems · doi:10.1128/msystems.00119-17 · Cited by 168

Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology

Fornace, K. M., Drakeley, C. J., William, T., Espino, F., & Cox, J. (2014) · Trends in Parasitology · doi:10.1016/j.pt.2014.09.001 · Cited by 167

A low-cost drone based application for identifying and mapping of coastal fish nursery grounds

Ventura, D., Bruno, M., Lasinio, G. J., Belluscio, A., & Ardizzone, G. (2016) · Estuarine Coastal and Shelf Science · doi:10.1016/j.ecss.2016.01.030 · Cited by 167

Visible and thermal infrared remote sensing for the detection of white‐tailed deer using an unmanned aerial system

Chrétien, L., Théau, J., & Ménard, P. (2016) · Wildlife Society Bulletin · doi:10.1002/wsb.629 · Cited by 167

UAV photogrammetry for mapping vegetation in the low-Arctic

Fraser, R. H., Olthof, I., Lantz, T. C., & Schmitt, C. (2016) · Arctic Science · doi:10.1139/as-2016-0008 · Cited by 161

Computer-automated bird detection and counts in high-resolution aerial images: a review

Chabot, D., & Francis, C. M. (2016) · Journal of Field Ornithology · doi:10.1111/jofo.12171 · Cited by 161

Mapping of riparian invasive species with supervised classification of Unmanned Aerial System (UAS) imagery

Michez, A., Piégay, H., Lisein, J., Claessens, H., & Lejeune, P. (2015) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2015.06.014 · Cited by 159

Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches

Capolupo, A., Kooistra, L., Berendonk, C., Boccia, L., & Suomalainen, J. M. (2015) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi4042792 · Cited by 154

Object-based analysis of unmanned aerial vehicle imagery to map and characterise surface features on a debris-covered glacier

Kraaijenbrink, P., Shea, J. M., Pellicciotti, F., de Jong, S. M., & Immerzeel, W. W. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.09.013 · Cited by 153

Autonomous Aerial Water Sampling

Ore, J., Elbaum, S. G., Burgin, A. J., & Detweiler, C. (2015) · Journal of Field Robotics · doi:10.1002/rob.21591 · Cited by 152

Object-based classification of wetland vegetation using very high-resolution unmanned air system imagery

Pande-Chhetri, R., Abd-Elrahman, A. H., Liu, T., Morton, J., & Wilhelm, V. L. (2017) · European Journal of Remote Sensing · doi:10.1080/22797254.2017.1373602 · Cited by 151

Efficient Forest Fire Detection Index for Application in Unmanned Aerial Systems (UASs)

Cruz, H., Eckert, M., Meneses, J., & Martí­nez-Ortega, J.-F. (2016) · Sensors · doi:10.3390/s16060893 · Cited by 147

Unmanned aerial vehicles for surveying marine fauna: assessing detection probability

Hodgson, A. J., Peel, D. A., & Kelly, N. (2017) · Ecological Applications · doi:10.1002/eap.1519 · Cited by 142

Detecting elusive aspects of wildlife ecology using drones: New insights on the mating dynamics and operational sex ratios of sea turtles

Schofield, G., Katselidis, K. A., Lilley, M. K. S., Reina, R. D., & Hays, G. C. (2017) · Functional Ecology · doi:10.1111/1365-2435.12930 · Cited by 141

Unmanned aerial vehicles as innovative remote sensing platforms for high‐resolution infrared imagery to support restoration monitoring in cut‐over bogs

Knoth, C., Klein, B., Prinz, T., & Kleinebecker, T. (2013) · Applied Vegetation Science · doi:10.1111/avsc.12024 · Cited by 139

An Economical Custom-Built Drone for Assessing Whale Health

Pirotta, V., Smith, A. M., Ostrowski, M. D., Russell, D., Jonsen, I. D., Grech, A., & Harcourt, R. G. (2017) · Frontiers in Marine Science · doi:10.3389/fmars.2017.00425 · Cited by 134

Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement

Neumann, W., Martinuzzi, S., Estes, A. B., Pidgeon, A. M., Dettki, H., Ericsson, G., & Radeloff, V. C. (2015) · Movement Ecology · doi:10.1186/s40462-015-0036-7 · Cited by 133

Using unmanned aerial vehicles (UAVs) to investigate shark and ray densities in a shallow coral lagoon

Kiszka, J. J., Mourier, J., Gastrich, K., & Heithaus, M. R. (2016) · Marine Ecology Progress Series · doi:10.3354/meps11945 · Cited by 133

Using low-cost drones to map malaria vector habitats

Hardy, A., Makame, M., Cross, D., Majambere, S., & Msellem, M. (2017) · Parasites & Vectors · doi:10.1186/s13071-017-1973-3 · Cited by 129

Assessing protected area effectiveness using surrounding (buffer) areas environmentally similar to the target area

Mas, J. (2005) · Environmental Monitoring and Assessment · doi:10.1007/s10661-005-3156-5 · Cited by 127

The digital frontiers of fisheries governance: fish attraction devices, drones and satellites

Toonen, H., & Bush, S. R. (2018) · Journal of Environmental Policy & Planning · doi:10.1080/1523908x.2018.1461084 · Cited by 123

Rapid Assessments of Amazon Forest Structure and Biomass Using Small Unmanned Aerial Systems

Messinger, M., Asner, G. P., & Silman, M. R. (2016) · Remote Sensing · doi:10.3390/rs8080615 · Cited by 122

Job-Related Mortality of Wildlife Workers in the United States, 1937-2000

Sasse, D. (2003) · Cited by 112

Assessing use of and reaction to unmanned aerial systems in gray and harbor seals during breeding and molt in the UK

Pomeroy, P. P., O'Connor, L., & Davies, P. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2015-0013 · Cited by 111

The Eye in the Sky: Combined Use of Unmanned Aerial Systems and GPS Data Loggers for Ecological Research and Conservation of Small Birds

Rodríguez, A., Negro, J. J., Mulero‐Pázmány, M., Rodríguez, C., Hernández‐Pliego, J., & Bustamante, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050336 · Cited by 108

Low‐budget ready‐to‐fly unmanned aerial vehicles: an effective tool for evaluating the nesting status of canopy‐breeding bird species

Weissensteiner, M. H., Poelstra, J. W., & Wolf, J. B. W. (2015) · Journal of Avian Biology · doi:10.1111/jav.00619 · Cited by 108

Unmanned Aircraft Systems for Studying Spatial Abundance of Ungulates: Relevance to Spatial Epidemiology

Barasona, J. Á., Mulero‐Pázmány, M., Acevedo, P., Negro, J. J., Torres, M. J., Gortázar, C., & Vicente, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115608 · Cited by 107

Unmanned aerial vehicles mitigate human–elephant conflict on the borders of Tanzanian Parks: a case study

Hahn, N. R., Mwakatobe, A., Konuche, J., de Souza, N., Keyyu, J. D., Goss, M., Chang'a, A., Palminteri, S., Dinerstein, E., & Olson, D. M. (2016) · Oryx · doi:10.1017/s0030605316000946 · Cited by 106

Unmanned aircraft system advances health mapping of fragile polar vegetation

Malenovský, Z., Lucieer, A., King, D. H., Turnbull, J. D., & Robinson, S. A. (2017) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12833 · Cited by 102

Estimating Distribution of Hidden Objects with Drones: From Tennis Balls to Manatees

Martin, J., Edwards, H. H., Burgess, M. A., Percival, H. F., Fagan, D. E., Gardner, B., Ortega‐Ortiz, J. G., IFJU, P. G., Evers, B. S., & Rambo, T. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038882 · Cited by 100

Utility of unmanned aerial vehicles for mapping invasive plant species: a case study on yellow flag iris ( Iris pseudacorus L.)

Hill, D., Tarasoff, C. S., Whitworth, G. E., Baron, J., Bradshaw, J. L., & Church, J. S. (2016) · International Journal of Remote Sensing · doi:10.1080/01431161.2016.1264030 · Cited by 99

Small unmanned airborne systems to support oil and gas pipeline monitoring and mapping

Gómez, C., & Green, D. R. (2017) · Arabian Journal of Geosciences · doi:10.1007/s12517-017-2989-x · Cited by 98

Protected areas: providing natural solutions to 21st Century challenges

Lopoukhine, N., Crawhall, N. T., Dudley, N., Figgis, P., Karibuhoye, C., Laffoley, D., Londoño, J. M., MacKinnon, K. C., & Sandwith, T. (2012) · OpenEdition (OpenEdition) · Cited by 97

Bottlenose Dolphins and Antillean Manatees Respond to Small Multi-Rotor Unmanned Aerial Systems

Ramos, E. A., Maloney, B., Magnasco, M. O., & Reiss, D. (2018) · Frontiers in Marine Science · doi:10.3389/fmars.2018.00316 · Cited by 95

Marine litter abundance and distribution on beaches on the Isle of Rügen considering the influence of exposition, morphology and recreational activities

Hengstmann, E., Gräwe, D., Tamminga, M., & Fischer, E. K. (2016) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2016.12.026 · Cited by 93

SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time

Bondi, E., Fang, F., Hamilton, M., Kar, D., Dmello, D., Choi, J., Hannaford, R., Iyer, A., Joppa, L., Tambe, M., et al. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11414 · Cited by 92

Unmanned aircraft in nature conservation: an example from plant invasions

Müllerová, J., Bartaloš, T., Bruna, J., Dvořák, P., & Vítková, M. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2016.1275059 · Cited by 91

Optimising beached litter monitoring protocols through aerial imagery

Deidun, A., Gauci, A., Lagorio, S., & Galgani, F. (2018) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2018.04.033 · Cited by 91

Spatial heterogeneity of biomass and forest structure of the Amazon rain forest: Linking remote sensing, forest modelling and field inventory

Rödig, E., Cuntz, M., Heinke, J., Rammig, A., & Huth, A. (2017) · Global Ecology and Biogeography · doi:10.1111/geb.12639 · Cited by 90

Guidelines for long-term monitoring protocols

Oakley, K. L., Thomas, L. P., & Fancy, S. G. (2003) · Cited by 86

Recognition through reconnaissance? Using drones for counter-mapping in Indonesia

Radjawali, I., Pye, O., & Flitner, M. (2017) · The Journal of Peasant Studies · doi:10.1080/03066150.2016.1264937 · Cited by 86

Privacy, data protection and ethics for civil drone practice: A survey of industry, regulators and civil society organisations

Finn, R. L., & Wright, D. (2016) · Computer law & security review · doi:10.1016/j.clsr.2016.05.010 · Cited by 85

A toolbox for studying thermal heterogeneity across spatial scales: from unmanned aerial vehicle imagery to landscape metrics

Faye, É., Rebaudo, F., Cajo, D. J. Y., Cauvy‐Fraunié, S., & Dangles, O. J. (2015) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12488 · Cited by 83

A preliminary assessment of using conservation drones for Sumatran orang-utan (Pongo abelii) distribution and density

Wich, S. A., Dellatore, D. F., Houghton, M., Ardi, R., & Koh, L. P. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2015-0015 · Cited by 83

Poaching Detection Technologies—A Survey

Kamminga, J. W., Ayele, E. D., Meratnia, N., & Havinga, P. (2018) · Sensors · doi:10.3390/s18051474 · Cited by 82

Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems

Longmore, S. N., Collins, R. P., Pfeifer, S., et al. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1280639 · Cited by 78

Unmanned aircraft systems to unravel spatial and temporal factors affecting dynamics of colony formation and nesting success in birds

Sardà‐Palomera, F., Bota, G., Padilla, N., Brotons, L., & Sardà‐Palomera, F. (2017) · Journal of Avian Biology · doi:10.1111/jav.01535 · Cited by 75

Development of Pattern Recognition Algorithm for Automatic Bird Detection from Unmanned Aerial Vehicle Imagery

Abd-Elrahman, A. H. (2005) · Surveying and land information science: journal of the American Congress on Surveying and Mapping · Cited by 74

Proper flight technique for using a small rotary-winged drone aircraft to safely, quickly, and accurately survey raptor nests

Junda, J. H., Greene, E., & Bird, D. M. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2015-0003 · Cited by 71

Effect of Monitoring Technique on Quality of Conservation Science

Jewell, Z. C. (2013) · Conservation Biology · doi:10.1111/cobi.12066 · Cited by 69

Quantifying Nearshore Sea Turtle Densities: Applications of Unmanned Aerial Systems for Population Assessments

Sykora‐Bodie, S. T., Bézy, V. S., Johnston, D. W., Newton, E., & Lohmann, K. J. (2017) · Scientific Reports · doi:10.1038/s41598-017-17719-x · Cited by 68

HOW MANY HIPPOS (HOMHIP): ALGORITHM FOR AUTOMATIC COUNTS OF ANIMALS WITH INFRA-RED THERMAL IMAGERY FROM UAV

Lhoest, S., Linchant, J., Quevauvillers, S., Vermeulen, C., & Lejeune, P. (2015) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xl-3-w3-355-2015 · Cited by 67

Application of remote sensing to parks and protected area monitoring: Introduction to the special issue

Gross, J., Goetz, S. J., & Cihlar, J. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.12.013 · Cited by 65

Will Drones Reduce Investigator Disturbance to Surface-nesting Birds?

Borrelle, S. B., & Fletcher, A. T. (2017) · Marine ornithology · doi:10.5038/2074-1235.45.1.1205 · Cited by 61

The usability of unmanned aerial vehicles (UAVs) for measuring park-based physical activity

Park, K., & Ewing, R. (2017) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2017.06.010 · Cited by 56

Robots in Ecology: Welcome to the machine

Grémillet, D., Puech, W., Garcon, V. C., Boulinier, T., & Maho, Y. L. (2012) · Open Journal of Ecology · doi:10.4236/oje.2012.22006 · Cited by 55

Flying beneath the clouds at the edge of the world: using a hexacopter to supplement abundance surveys of Steller sea lions (Eumetopias jubatus) in Alaska

Sweeney, K., Helker, V. T., Perryman, W. L., LeRoi, D. J., Fritz, L. W., Gelatt, T. S., & Angliss, R. P. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2015-0010 · Cited by 55

Evaluating an unmanned aerial vehicle‐based approach for assessing habitat extent and condition in fine‐scale early successional mountain mosaics

Gonçalves, J., Henriques, R., Alves, P., Sousa‐Silva, R., Monteiro, A. T., Lomba, Â., Marcos, B., & Honrado, J. P. (2015) · Applied Vegetation Science · doi:10.1111/avsc.12204 · Cited by 54

Assessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system

Perroy, R. L., Sullivan, T., & Stephenson, N. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.01.018 · Cited by 54

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Izumida, A., Uchiyama, S., & Sugai, T. (2017) · Natural hazards and earth system sciences · doi:10.5194/nhess-17-1505-2017 · Cited by 53

The feasibility of counting songbirds using unmanned aerial vehicles

Wilson, A., Barr, J., & Zagorski, M. (2017) · The Auk · doi:10.1642/auk-16-216.1 · Cited by 52

Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping

Gonçalves, G. R., Álvarez, J. A. P., & Duarte, J. F. (2018) · International Journal of Remote Sensing · doi:10.1080/01431161.2018.1446568 · Cited by 51

Landform monitoring in active volcano by UAV and SfM-MVS technique

Nakano, T., Kamiya, I., Tobita, M., et al. (2014) · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xl-8-71-2014 · Cited by 49

Predicting and Preventing Elephant Poaching Incidents through Statistical Analysis, GIS-Based Risk Analysis, and Aerial Surveillance Flight Path Modeling

Shaffer, M. J., & Bishop, J. A. (2016) · Tropical Conservation Science · doi:10.1177/194008291600900127 · Cited by 47

Drones for justice: inclusive technology and river-related action research along the Kapuas

Radjawali, I., & Pye, O. (2017) · Geographica Helvetica · doi:10.5194/gh-72-17-2017 · Cited by 46

Early Stage Forest Windthrow Estimation Based on Unmanned Aircraft System Imagery

Mokroš, M., Výbošťok, J., Merganič, J., Hollaus, M., Barton, I., Koreň, M., Tomaštík, J., & Čerňava, J. (2017) · Forests · doi:10.3390/f8090306 · Cited by 44

Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling

Török, Á., Barsi, Á., Bögöly, G., et al. (2018) · Natural hazards and earth system sciences · doi:10.5194/nhess-18-583-2018 · Cited by 44

Practical Bias Correction in Aerial Surveys of Large Mammals: Validation of Hybrid Double-Observer with Sightability Method against Known Abundance of Feral Horse (Equus caballus) Populations

Lubow, B. C., & Ransom, J. I. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154902 · Cited by 42

Drones for butterfly conservation: larval habitat assessment with an unmanned aerial vehicle

Habel, J. C., Teucher, M., Ulrich, W., Bauer, M., & Rödder, D. (2016) · Landscape Ecology · doi:10.1007/s10980-016-0409-3 · Cited by 41

Combining drones and satellite tracking as an effective tool for informing policy change in riparian habitats: a proboscis monkey case study

Stark, D. J., Vaughan, I. P., Evans, L. J., Kler, H., & Goossens, B. (2017) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.51 · Cited by 37

Scaling up: linking field data and remote sensing with a hierarchical model

Wilson, A. M., Silander, J. A., Gelfand, A. E., & Glenn, J. H. (2011) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2010.522779 · Cited by 36

The Use of an Unmanned Aerial Vehicle to Locate Alligator Nests

Elsey, R. M., & Trosclair, P. L. (2016) · Southeastern Naturalist · doi:10.1656/058.015.0106 · Cited by 36

Wildlife monitoring with unmanned aerial vehicles: Quantifying distance to auditory detection

Scobie, C. A., & Hugenholtz, C. H. (2016) · Wildlife Society Bulletin · doi:10.1002/wsb.700 · Cited by 36

Remote Sensing and Unmanned Aerial System Technology for Monitoring and Quantifying Forest Fire Impacts

Wing, M. G., Burnett, J. D., & Sessions, J. (2014) · International Journal of Remote Sensing Application · doi:10.14355/ijrsa.2014.0401.02 · Cited by 33

Modern Wildlife Monitoring Technologies: Conservationists versus Communities? A Case Study: The Terai-Arc Landscape, Nepal

Shrestha, Y., & Lapeyre, R. (2018) · Conservation and Society · doi:10.4103/cs.cs_16_83 · Cited by 33

Testing unmanned aircraft systems for salmon spawning surveys

Groves, P. A., Alcorn, B., Wiest, M. M., Maselko, J. M., & Connor, W. P. (2016) · FACETS · doi:10.1139/facets-2016-0019 · Cited by 32

Disturbance feedbacks on the height of woody vegetation in a savannah: a multi-plot assessment using an unmanned aerial vehicle (UAV)

Mayr, M. J., Malß, S., Ofner, E., & Samimi, C. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1362132 · Cited by 32

Will drones revolutionise ecotourism?

King, L. M. (2014) · Journal of Ecotourism · doi:10.1080/14724049.2014.948448 · Cited by 28

Use of drone technology as a tool for behavioral research: A case study of crocodilian nesting

Evans, I., Jones, T. H., Pang, K., Evans, M. N., Saimin, S., & Goossens, B. (2015) · ORCA Online Research @Cardiff (Cardiff University) · Cited by 26

Possibility of applying unmanned aerial vehicle (UAV) and mapping software for the monitoring of waterbirds and their habitats

Han, Y.-G., Yoo, S. H., & Kwon, O. (2017) · Journal of Ecology and Environment · doi:10.1186/s41610-017-0040-5 · Cited by 23

Earth observation: overlooked potential to support species reintroduction programmes

Freemantle, T., Wacher, T., Newby, J. E., & Pettorelli, N. (2013) · African Journal of Ecology · doi:10.1111/aje.12060 · Cited by 22

Best Practices Toward Sustainable Ecotourism

Samia, D. S. M., Angeloni, L. M., Bearzi, M., Bessa, E., Crooks, K. R., D’Amico, M., Ellenberg, U., Geffroy, B., Larson, C. L., Loyola, R. A., et al. (2017) · Springer eBooks · doi:10.1007/978-3-319-58331-0_10 · Cited by 22

The relevance of host overcrowding in wildlife epidemiology: A new spatially explicit aggregation index

Laguna, E., Barasona, J. Á., Triguero‐Ocaña, R., Mulero‐Pázmány, M., Negro, J. J., Vicente, J., & Acevedo, P. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.09.039 · Cited by 20

Monitoring butterflies with an unmanned aerial vehicle: current possibilities and future potentials

Ivošević, B., Han, Y.-G., & Kwon, O. (2017) · Journal of Ecology and Environment · doi:10.1186/s41610-017-0028-1 · Cited by 17

Unmanned aerial vehicle-based structure from motion biomass inventory estimates

Bedell, E., Leslie, M., Fankhauser, K., et al. (2017) · Journal of Applied Remote Sensing · doi:10.1117/1.jrs.11.026026 · Cited by 10

Proposal of a marine protected area surveillance system against illegal vessels using image sensing and image processing

Arefin, A. M. E. (2018) · Acta Ecologica Sinica · doi:10.1016/j.chnaes.2017.06.015 · Cited by 10

Using Drones to Generate New Data for Conservation Insights

Lorah, P. A., Ready, A., & Rinn, E. (2018) · UWM Digital Commons (University of Wisconsin–Milwaukee) · Cited by 9

Assessing the availability of aerially delivered baits to feral cats through rainforest canopy using unmanned aircraft

Johnston, M., McCaldin, G., & Rieker, A. (2016) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2016-0012 · Cited by 5

The Commercial Use of Drones in U.S. National Parks

Chamata, J. E., & King, L. M. (2017) · The International Technology Management Review · doi:10.2991/itmr.2017.6.4.4 · Cited by 3

UAV remote sensing applications in marine monitoring: Knowledge visualization and review

Yang, Z., Yu, X., Dedman, S., Rosso, M., Zhu, J., Yang, J., Xia, Y., Tian, Y., Zhang, G., & Wang, J. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155939 · Cited by 283

An experimental approach to evaluate the potential of drones in terrestrial mammal research: a gregarious ungulate as a study model

Schroeder, N. M., Panebianco, A., Gonzalez Musso, R., & Carmanchahi, P. (2020) · Royal Society Open Science · doi:10.1098/rsos.191482 · Cited by 66

SmallSats: a new technological frontier in ecology and conservation?

Curnick, D. J., Davies, A. J., Duncan, C., Freeman, R., Jacoby, D. M. P., Shelley, H. T. E., Rossi, C., Wearn, O. R., Williamson, M. J., & Pettorelli, N. (2022) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.239 · Cited by 34