SmallSats: a new technological frontier in ecology and conservation?

Terrestrial animal tracking as an eye on life and planet

Kays, R., Crofoot, M. C., Jetz, W., & Wikelski, M. (2015) · Science · doi:10.1126/science.aaa2478 · Cited by 1,638 · see citing works

Big data analytics in logistics and supply chain management: certain investigations for research and applications

Wang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.03.014 · Cited by 1,545 · see citing works

Challenges of Big Data analysis

Fan, J., Han, F., & Liu, H. (2014) · National Science Review · doi:10.1093/nsr/nwt032 · Cited by 1,482 · see citing works

Seasonality extraction by function fitting to time-series of satellite sensor data

Jönsson, P., & Eklundh, L. (2002) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.802519 · Cited by 1,292 · see citing works

REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes

Burton, A. C., Neilson, E. W., Moreira‐Arce, D., Ladle, A., Steenweg, R. W., Fisher, J. T., Bayne, E. M., & Boutin, S. A. (2015) · Journal of Applied Ecology · doi:10.1111/1365-2664.12432 · Cited by 1,273 · see citing works

International trade drives biodiversity threats in developing nations

Manfred Lenzen, A., Moran, D. D., Kanemoto, K., Foran, B. D., Lobefaro, L., & Geschke, A. (2012) · Nature · doi:10.1038/nature11145 · Cited by 1,240 · see citing works

The big challenges of big data

Marx, V. (2013) · Nature · doi:10.1038/498255a · Cited by 1,233 · see citing works

A review of large area monitoring of land cover change using Landsat data

Hansen, M. C., & Loveland, T. R. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.08.024 · Cited by 1,061 · see citing works

Estimating the Worldwide Extent of Illegal Fishing

Agnew, D. J., Pearce, J., Pramod, G., Peatman, T., Watson, R., Beddington, J. R., & Pitcher, T. J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004570 · Cited by 1,009 · see citing works

Tracking the global footprint of fisheries

Kroodsma, D., Mayorga, J., Hochberg, T., Miller, N. A., Boerder, K., Ferretti, F., Wilson, A., Bergman, B., White, T. D., Block, B., et al. (2018) · Science · doi:10.1126/science.aao5646 · Cited by 975 · see citing works

Significance and Challenges of Big Data Research

Jin, X., Wah, B. W.-S., Cheng, X., & Wang, Y. (2015) · Big Data Research · doi:10.1016/j.bdr.2015.01.006 · Cited by 779 · see citing works

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 739 · see citing works

Satellite remote sensing for applied ecologists: opportunities and challenges

Pettorelli, N., Laurance, W. F., O'Brien, T. G., Wegmann, M., Nagendra, H., & Turner, W. (2014) · Journal of Applied Ecology · doi:10.1111/1365-2664.12261 · Cited by 707 · see citing works

Financial Costs of Meeting Global Biodiversity Conservation Targets: Current Spending and Unmet Needs

McCarthy, D. P., Donald, P. F., Scharlemann, J. P. W., Buchanan, G. M., Balmford, A., Green, J. M. H., Bennun, L. A., Burgess, N. D., Fishpool, L. D. C., Garnett, S. T., et al. (2012) · Science · doi:10.1126/science.1229803 · Cited by 680 · see citing works

CubeSat evolution: Analyzing CubeSat capabilities for conducting science missions

Poghosyan, A., & Golkar, A. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2016.11.002 · Cited by 537 · see citing works

Cloud cover in Landsat observations of the Brazilian Amazon

Asner, G. P. (2001) · International Journal of Remote Sensing · doi:10.1080/01431160010006926 · Cited by 507 · see citing works

Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

Defourny, P., Bontemps, S., Bellemans, N., Cara, C., Dedieu, G., Guzzonato, E., Hagolle, O., Inglada, J., Nicola, L., Rabaute, T., et al. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.11.007 · Cited by 424 · see citing works

Free and open-access satellite data are key to biodiversity conservation

Turner, W., Rondinini, C., Pettorelli, N., Mora, B., Leidner, A. K., Szantoi, Z., Buchanan, G., Dech, S. W., Dwyer, J. L., Herold, M., et al. (2014) · Biological Conservation · doi:10.1016/j.biocon.2014.11.048 · Cited by 423 · see citing works

Quantifying forest canopy traits: Imaging spectroscopy versus field survey

Asner, G. P., Martin, R. E., Anderson, C. B., & Knapp, D. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.11.011 · Cited by 386 · see citing works

Going wild: what a global small-animal tracking system could do for experimental biologists

Wikelski, M., Kays, R., Kasdin, N., Thorup, K., Smith, J. A., & Swenson, G. (2007) · Journal of Experimental Biology · doi:10.1242/jeb.02629 · Cited by 362 · see citing works

Emerging Technologies to Conserve Biodiversity

Pimm, S. L., Alibhai, S. K., Bergl, R. A., Dehgan, A. O., Giri, C. P., Jewell, Z. C., Joppa, L., Kays, R., & Loarie, S. R. (2015) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2015.08.008 · Cited by 355 · see citing works

Assessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series

Wessels, K., Prince, S. D., Frost, P. E., & van Zyl, D. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.02.005 · Cited by 347 · see citing works

Vessel detection and classification from spaceborne optical images: A literature survey

Kanjir, U., Greidanus, H., & Oštir, K. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.12.033 · Cited by 335 · see citing works

A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping

Griffiths, P., van der Linden, S., Kuemmerle, T., & Hostert, P. (2013) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2012.2228167 · Cited by 333 · see citing works

Statistical Challenges in “Big Data” Human Neuroimaging

Smith, S. M., & Nichols, T. E. (2018) · Neuron · doi:10.1016/j.neuron.2017.12.018 · Cited by 331 · see citing works

Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward

Pettorelli, N., Bühne, H. S. T., TULLOCH, A. I. T., Dubois, G., Macinnis‐Ng, C., Queirós, A. M., Keith, D. A., Wegmann, M., Schrodt, F., Stellmes, M., et al. (2017) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.59 · Cited by 329 · see citing works

Drones for Conservation in Protected Areas: Present and Future

Jiménez, J., & Mulero‐Pázmány, M. (2019) · Drones · doi:10.3390/drones3010010 · Cited by 304 · see citing works

Orfeo ToolBox: open source processing of remote sensing images

Grizonnet, M., Michel, J., Poughon, V., Inglada, J., Savinaud, M., & Cresson, R. (2017) · Open Geospatial Data Software and Standards · doi:10.1186/s40965-017-0031-6 · Cited by 301 · see citing works

Ecotourism's Support of Biodiversity Conservation

Bookbinder, M. P., Dinerstein, E., Rijal, A., Cauley, H., & Rajouria, A. (1998) · Conservation Biology · doi:10.1046/j.1523-1739.1998.97229.x · Cited by 282 · see citing works

An Emperor Penguin Population Estimate: The First Global, Synoptic Survey of a Species from Space

Fretwell, P. T., Larue, M. A., Morin, P., Kooyman, G. L., Wienecke, B. C., Ratcliffe, N., Fox, A. J., Fleming, A. H., Porter, C. C., & Trathan, P. N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033751 · Cited by 274 · see citing works

Satellite remote sensing, biodiversity research and conservation of the future

Pettorelli, N., Safi, K., & Turner, W. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0190 · Cited by 261 · see citing works

Satellite mega-constellations create risks in Low Earth Orbit, the atmosphere and on Earth

Boley, A. C., & Byers, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-89909-7 · Cited by 249 · see citing works

Animal-Borne Telemetry: An Integral Component of the Ocean Observing Toolkit

Harcourt, R. G., Sequeira, A. M. M., Zhang, X., Roquet, F., Komatsu, K., Heupel, M. R., McMahon, C. R., Whoriskey, F. G., Meekan, M. G., Carroll, G., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00326 · Cited by 246 · see citing works

Gaps‐fill of SLC‐off Landsat ETM+ satellite image using a geostatistical approach

Zhang, C., Li, W., & Travis, D. J. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160701250416 · Cited by 236 · see citing works

Rapid changes in Atlantic grey seal milk from birth to weaning – immune factors and indicators of metabolic strain

Lowe, A. D., Bawazeer, S., Watson, D. G., McGill, S., Burchmore, R., Pomeroy, P. P., & Kennedy, M. W. (2017) · Scientific Reports · doi:10.1038/s41598-017-16187-7 · Cited by 225 · see citing works

RemoveDEBRIS: An in-orbit active debris removal demonstration mission

Forshaw, J. L., Aglietti, G. S., Navarathinam, N., Kadhem, H., Salmon, T., Pisseloup, A., Joffre, E., Chabot, T., Retat, I., Axthelm, R., et al. (2016) · Acta Astronautica · doi:10.1016/j.actaastro.2016.06.018 · Cited by 217 · see citing works

Benefits of hyperspectral remote sensing for tracking plant invasions

He, K. S., Rocchini, D., Neteler, M., & Nagendra, H. (2011) · Diversity and Distributions · doi:10.1111/j.1472-4642.2011.00761.x · Cited by 213 · see citing works

Towards Global-Scale Seagrass Mapping and Monitoring Using Sentinel-2 on Google Earth Engine: The Case Study of the Aegean and Ionian Seas

Traganos, D., Aggarwal, B., Poursanidis, D., Topouzelis, K., Chrysoulakis, N., & Reinartz, P. H. (2018) · Remote Sensing · doi:10.3390/rs10081227 · Cited by 210 · see citing works

Integrating technologies for scalable ecology and conservation

Marvin, D. C., Koh, L. P., Lynam, A. J., Wich, S. A., Davies, A. B., Krishnamurthy, R., Stokes, E. J., Starkey, R., & Asner, G. P. (2016) · Global Ecology and Conservation · doi:10.1016/j.gecco.2016.07.002 · Cited by 198 · see citing works

Deployment dynamics of tethered-net for space debris removal

Shan, M., Guo, J., & Gill, E. K. A. (2017) · Acta Astronautica · doi:10.1016/j.actaastro.2017.01.001 · Cited by 185 · see citing works

Mapping and assessment of vegetation types in the tropical rainforests of the Western Ghats using multispectral Sentinel-2 and SAR Sentinel-1 satellite imagery

Erinjery, J. J., Singh, M., & Kent, R. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.07.006 · Cited by 166 · see citing works

Camera‐trapping version 3.0: current constraints and future priorities for development

Glover‐Kapfer, P., Soto-Navarro, C., & Wearn, O. R. (2019) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.106 · Cited by 156 · see citing works

Whales from Space: Counting Southern Right Whales by Satellite

Fretwell, P. T., Staniland, I. J., & Forcada, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088655 · Cited by 144 · see citing works

Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

Moreno‐Martínez, Á., Izquierdo‐Verdiguier, E., Maneta, M., Camps‐Valls, G., Robinson, N., Muñoz-Marı́, J., Sedano, F., Clinton, N., & Running, S. W. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111901 · Cited by 139 · see citing works

Futurecasting ecological research: the rise of technoecology

Allan, B. M., Nimmo, D. G., Ierodiaconou, D. A., VanDerWal, J. J., Koh, L. P., & Ritchie, E. G. (2018) · Ecosphere · doi:10.1002/ecs2.2163 · Cited by 134 · see citing works

Operational Monitoring of Illegal Fishing in Ghana through Exploitation of Satellite Earth Observation and AIS Data

Kurekin, A. A., Loveday, B. R., Clements, O., Quartly, G. D., Miller, P. I., Wiafe, G., & Agyekum, K. A. (2019) · Remote Sensing · doi:10.3390/rs11030293 · Cited by 121 · see citing works

Responsible AI for conservation

Wearn, O. R., Freeman, R., & Jacoby, D. M. P. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0022-7 · Cited by 112 · see citing works

The use of conservation drones in ecology and wildlife research

Ivošević, B., Han, Y.-G., Cho, Y., & Kwon, O. (2015) · Journal of Ecology and Environment · doi:10.5141/ecoenv.2015.012 · Cited by 109 · see citing works

Whales from space: Four mysticete species described using new VHR satellite imagery

Cubaynes, H. C., Fretwell, P. T., Bamford, C. C. G., Gerrish, L., & Jackson, J. A. (2018) · Marine Mammal Science · doi:10.1111/mms.12544 · Cited by 109 · see citing works

Miniaturization of biologgers is not alleviating the 5% rule

Portugal, S. J., & White, C. R. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13013 · Cited by 108 · see citing works

The SUMO Ship Detector Algorithm for Satellite Radar Images

Greidanus, H., Alvarez, M., Santamaria, C., FRANCOIS-XAVIER, T., Kourti, N., & Argentieri, P. (2017) · Remote Sensing · doi:10.3390/rs9030246 · Cited by 105 · see citing works

Satellite imagery can be used to detect variation in abundance of Weddell seals (Leptonychotes weddellii) in Erebus Bay, Antarctica

Larue, M. A., Rotella, J. J., Garrott, R. A., Siniff, D. B., Ainley, D. G., Stauffer, G. E., Porter, C. C., & Morin, P. J. (2011) · Polar Biology · doi:10.1007/s00300-011-1023-0 · Cited by 105 · see citing works

Ocean sentinel albatrosses locate illegal vessels and provide the first estimate of the extent of nondeclared fishing

Weimerskirch, H., Collet, J., Corbeau, A., Pajot, A., Hoarau, F., Marteau, C., Filippi, D. P., & Patrick, S. C. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1915499117 · Cited by 104 · see citing works

Principles for the socially responsible use of conservation monitoring technology and data

Sandbrook, C., Clark, D., Toivonen, T., Simlai, T., O'Donnell, S., Cobbe, J., & Adams, W. (2021) · Conservation Science and Practice · doi:10.1111/csp2.374 · Cited by 96 · see citing works

Human Bycatch: Conservation Surveillance and the Social Implications of Camera Traps

Sandbrook, C. G., Luque‐Lora, R., & Adams, W. (2018) · Conservation and Society · doi:10.4103/cs.cs_17_165 · Cited by 89 · see citing works

Choose satellites to monitor deforestation

Lynch, J. M., Maslin, M. A., Balzter, H., & Sweeting, M. N. (2013) · Nature · doi:10.1038/496293a · Cited by 84 · see citing works

CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation

McCabe, M. F., Aragon, B., Houborg, R., & Mascaro, J. (2017) · Water Resources Research · doi:10.1002/2017wr022240 · Cited by 81 · see citing works

Discovery of new colonies by Sentinel2 reveals good and bad news for emperor penguins

Fretwell, P. T., & Trathan, P. N. (2020) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.176 · Cited by 74 · see citing works

Long-term satellite tracking reveals variable seasonal migration strategies of basking sharks in the north-east Atlantic

Doherty, P. D., Baxter, J. M., Gell, F. R., Godley, B. J., Graham, R. T., Hall, G., Hall, J., Hawkes, L. A., Henderson, S. M., Johnson, L., et al. (2017) · Scientific Reports · doi:10.1038/srep42837 · Cited by 74 · see citing works

Satellites, the All-Seeing Eyes in the Sky: Counting Elephant Seals from Space

McMahon, C. R., Howe, H., van den Hoff, J., Alderman, R. L., Brolsma, H., & Hindell, M. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092613 · Cited by 74 · see citing works

Emperor Penguins Breeding on Iceshelves

Fretwell, P. T., Trathan, P. N., Wienecke, B. C., & Kooyman, G. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085285 · Cited by 73 · see citing works

The PRISMA mission

Candela, L., Formaro, R., Guarini, R., Loizzo, R., Longo, F., & Varacalli, G. N. (2016) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2016.7729057 · Cited by 61 · see citing works

THE NEW HYPERSPECTRAL SENSOR DESIS ON THE MULTI-PAYLOAD PLATFORM MUSES INSTALLED ON THE ISS

Müller, R., Avbelj, J., Carmona, E., Eckardt, A., Gerasch, B., Graham, L., Günther, B., Heiden, U., Ickes, J., Kerr, G., et al. (2016) · 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/isprs-archives-xli-b1-461-2016 · Cited by 60 · see citing works

Reliable estimation of IUU fishing catch amounts in the northwestern Pacific adjacent to the Japanese EEZ: Potential for usage of satellite remote sensing images

Oozeki, Y., Inagake, D., Saito, T., Okazaki, M., Fusejima, I., Hotai, M., Watanabe, T., Sugisaki, H., & Miyahara, M. (2017) · Marine Policy · doi:10.1016/j.marpol.2017.11.009 · Cited by 56 · see citing works

Going Batty: The Challenges and Opportunities of Using Drones to Monitor the Behaviour and Habitat Use of Rays

Oleksyn, S., Tosetto, L., Raoult, V., Joyce, K. E., & Williamson, J. E. (2021) · Drones · doi:10.3390/drones5010012 · Cited by 55 · see citing works

Understanding Persistent Non-compliance in a Remote, Large-Scale Marine Protected Area

Collins, C., Nuño, A., Broderick, A. C., Curnick, D. J., de Vos, A., Franklin, T., Jacoby, D. M. P., Mees, C. C., Moir-Clark, J., Pearce, J., et al. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.650276 · Cited by 53 · see citing works

Electronic tracking tag programming is critical to data collection for behavioral time-series analysis

Breed, G. A., da Costa, D. P., Goebel, M. E., & Robinson, P. W. (2011) · Ecosphere · doi:10.1890/es10-00021.1 · Cited by 53 · see citing works

Use of radar detectors to track attendance of albatrosses at fishing vessels

Weimerskirch, H., Filippi, D. P., Collet, J., Waugh, S. M., & Patrick, S. C. (2017) · Conservation Biology · doi:10.1111/cobi.12965 · Cited by 52 · see citing works

Potential detection of illegal fishing by passive acoustic telemetry

Tickler, D. M., Carlisle, A. B., Chapple, T. K., Curnick, D. J., Dale, J. J., Schallert, R. J., & Block, B. A. (2019) · Animal Biotelemetry · doi:10.1186/s40317-019-0163-9 · Cited by 51 · see citing works

On-Board Ship Detection in Micro-Nano Satellite Based on Deep Learning and COTS Component

Yao, Y., Jiang, Z., Zhang, H., & Zhou, Y. (2019) · Remote Sensing · doi:10.3390/rs11070762 · Cited by 51 · see citing works

The Emerging Technological Revolution in Earth Observations

Stephens, G. L., Freeman, A., Richard, E. C., Pilewskie, P., Larkin, P., Chew, C. C., Tanelli, S., Brown, S., Posselt, D. J., & Peral, E. (2019) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-19-0146.1 · Cited by 50 · see citing works

The challenge of satellite megaconstellations

Massey, R., Lucatello, S., & Benvenuti, P. (2020) · Nature Astronomy · doi:10.1038/s41550-020-01224-9 · Cited by 49 · see citing works

Behavior and Ecology of Silky Sharks Around the Chagos Archipelago and Evidence of Indian Ocean Wide Movement

Curnick, D. J., Andrzejaczek, S., Jacoby, D. M. P., Coffey, D. M., Carlisle, A. B., Chapple, T. K., Ferretti, F., Schallert, R. J., White, T. D., Block, B. A., et al. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.596619 · Cited by 46 · see citing works

Combining optical and radar satellite image time series to map natural vegetation: savannas as an example

Lopes, M., Frison, P., Durant, S. M., Bühne, H. S. T., Ipavec, A., Lapeyre, V., & Pettorelli, N. (2020) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.139 · Cited by 46 · see citing works

The NASA EV-2 Cyclone Global Navigation Satellite System (CYGNSS) mission

Ruf, C. S., Gleason, S. T., Jelenak, Z., Katzberg, S. J., Ridley, A. J., Rose, R., Scherrer, J. R., & Zavorotny, V. U. (2013) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.2013.6497202 · Cited by 45 · see citing works

Space-Based Global Maritime Surveillance. Part II: Artificial Intelligence and Data Fusion Techniques

Soldi, G., Gaglione, D., Forti, N., Millefiori, L. M., Braca, P., Carniel, S., Simone, A. D., Iodice, A., Riccio, D., Daffina, F. C., et al. (2021) · IEEE Aerospace and Electronic Systems Magazine · doi:10.1109/maes.2021.3070884 · Cited by 44 · cited 2× · see citing works

Neutron diffraction analysis of stress and strain partitioning in a two-phase microstructure with parallel-aligned phases

Huang, Q., Shi, R., Muránsky, O., Beladi, H., Kabra, S., Schimpf, C., Volkova, O., Biermann, H., & Mola, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-70299-1 · Cited by 44 · see citing works

An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets

von Buttlar, J., Jakob Zscheischler, A., & Mahecha, M. D. (2014) · Nonlinear processes in geophysics · doi:10.5194/npg-21-203-2014 · Cited by 44 · see citing works

Using Drones to Study Human Beings: Ethical and Regulatory Issues

Resnik, D. B., & Elliott, K. C. (2018) · Science and Engineering Ethics · doi:10.1007/s11948-018-0032-6 · Cited by 43 · see citing works

Improving continuity of MODIS terrestrial photosynthesis products using an interpolation scheme for cloudy pixels

Kang, S., Running, S. W., Zhao, M., Kimball, J. S., & Glassy, J. M. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160512331326693 · Cited by 43 · see citing works

Satellite Remote Sensing in Shark and Ray Ecology, Conservation and Management

Williamson, M. J., Tebbs, E. J., Dawson, T. P., & Jacoby, D. M. P. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00135 · Cited by 39 · see citing works

Satellite Remote Sensing and the Management of Natural Resources

Pettorelli, N. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780198717263.001.0001 · Cited by 37 · see citing works

A comparison of satellite remote sensing data fusion methods to map peat swamp forest loss in Sumatra, Indonesia

Crowson, M., Warren‐Thomas, E., Hill, J. K., Hariyadi, B., Agus, F., Saad, A., Hamer, K. C., Hodgson, J. A., Kartika, W. D., Lucey, J. M., et al. (2018) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.102 · Cited by 34 · see citing works

Overview of Temporal Experiment for Storms and Tropical Systems (TEMPEST) CubeSat constellation mission

Reising, S. C., Gaier, T., Kummerow, C. D., Chandrasekar, V., Brown, S., Padmanabhan, S., Lim, B. H., van den Heever, S. C., L’Ecuyer, T., Ruf, C. S., et al. (2015) · IEEE MTT-S International Microwave Symposium digest · doi:10.1109/mwsym.2015.7167136 · Cited by 32 · see citing works

Motes enhance data recovery from satellite-relayed biologgers and can facilitate collaborative research into marine habitat utilization

du Dot, T. J., Holland, K. N., Schorr, G. S., & Vo, D. (2017) · Animal Biotelemetry · doi:10.1186/s40317-017-0132-0 · Cited by 31 · see citing works

Complex transboundary movements of marine megafauna in the Western Indian Ocean

Barkley, A. N., Gollock, M. J., Samoilys, M., Llewellyn, F., Shivji, M., Wetherbee, B. M., & Hussey, N. E. (2019) · Animal Conservation · doi:10.1111/acv.12493 · Cited by 29 · see citing works

Risks to large marine protected areas posed by drifting fish aggregation devices

Curnick, D. J., Feary, D. A., & Cavalcante, G. H. (2020) · Conservation Biology · doi:10.1111/cobi.13684 · Cited by 20 · see citing works

UAV-g 2019: Unmanned Aerial Vehicles in Geomatics

Nex, F. (2019) · Drones · doi:10.3390/drones3030074 · Cited by 17 · see citing works

Forest Monitoring in Guatemala Using Satellite Imagery and Deep Learning

Wyniawskyj, N. S., Napiórkowska, M., Petit, D., Podder, P., & Martí, P. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8899782 · Cited by 16 · see citing works

Multiple micronutrient supplementation improves micronutrient status in primary school children in Hai Phong City, Vietnam: a randomised controlled trial

Hoàng, T. Đ. N., Orellana, L., Gibson, R. S., Le, T. D., Worsley, A. F., Sinclair, A. J., Hoang, N. T. T., & Szymlek‐Gay, E. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-83129-9 · Cited by 13 · see citing works

Analysis and design of Cubesat constellation for the Mediterranean south costal monitoring against illegal immigration

Lazreg, N., Bahri, O. B., & Besbes, K. (2017) · Advances in Space Research · doi:10.1016/j.asr.2017.11.019 · Cited by 10 · see citing works

Paradigm Change in Earth Observation - Skybox Imaging and SkySat-1

Dyer, J., & McClelland, J. (2016) · Springer eBooks · doi:10.1007/978-3-319-34024-1_5 · Cited by 8 · see citing works

Author Correction: Finding Plastic Patches in Coastal Waters using Optical Satellite Data

Biermann, L., Clewley, D., Martínez-Vicente, V., & Topouzelis, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-64889-2 · Cited by 6 · see citing works

Doing Science with Nano-satellites

Gregorio, A., Cuttin, A., Fragiacomo, M., & Messerotti, M. (2017) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-56218-6_16 · Cited by 4 · see citing works

Design and Evaluation of a Low-Cost CubeSat Communication Relay Constellation

Perea-Tamayo, R., Fuchs, C. M., Ergetu, E., & Li, B. (2018) · IEEE MTT-S Latin America Microwave Conference (LAMC) · doi:10.1109/lamc.2018.8699047 · Cited by 3 · see citing works

CubeSat-Scale High-Speed Laser Downlinks

Welle, R., Janson, S., Rowen, D. W., & Rose, T. S. (2018) · Springer eBooks · doi:10.1007/978-3-319-32817-1_2 · Cited by 3 · see citing works

Automated Detection of Selective Logging Using SmallSat Imagery

Descals, A., Szantoi, Z., Beck, P. S. A., Brink, A. B., & Strobl, P. A. (2017) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2017.2720841 · Cited by 2 · see citing works

Next up: a phone powered by microbial wires?

Pennisi, E. (2020) · Science · doi:10.1126/science.369.6506.904 · Cited by 2 · see citing works

Tracking telemetry and command using software defined radio with nano-satellite parameters

Wangsa, D. W., Syihabuddin, B., Edwar, & Wijanto, H. (2019) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/620/1/012095 · Cited by 1 · see citing works

A review on TinyML: State-of-the-art and prospects

Ray, P. P. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2021.11.019 · Cited by 460 · see citing works

A Comprehensive Survey on TinyML

Abadade, Y., Temouden, A., Bamoumen, H., Benamar, N., Chtouki, Y., & Hafid, A. S. (2023) · IEEE Access · doi:10.1109/access.2023.3294111 · Cited by 366 · see citing works

TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review

Schizas, N., Karras, A., Karras, C., & Sioutas, S. (2022) · Future Internet · doi:10.3390/fi14120363 · Cited by 236 · see citing works

Tiny Machine Learning: Progress and Futures [Feature]

Lin, J., Zhu, L., Chen, W.-M., Wang, W.-C., & Han, S. (2023) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2023.3302182 · Cited by 216 · see citing works

TinyML: Tools, applications, challenges, and future research directions

Kallimani, R., Pai, K., Raghuwanshi, P., Iyer, S., & López, O. L. A. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16740-9 · Cited by 128 · see citing works

Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery

Lake, T. A., Runquist, R. D. B., & Moeller, D. A. (2022) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.288 · Cited by 80 · see citing works

Monitoring Yield and Quality of Forages and Grassland in the View of Precision Agriculture Applications—A Review

Ali, A., & Kaul, H. (2025) · Remote Sensing · doi:10.3390/rs17020279 · Cited by 41 · see citing works

New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification

Aneece, I. P., Foley, D., Thenkabail, P. S., Oliphant, A. J., & Teluguntla, P. G. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3204223 · Cited by 27 · see citing works

Potential for Return on Investment in Rehabilitation-Oriented Blue Carbon Projects: Accounting Methodologies and Project Strategies

Duncan, C., Primavera, J. H., Hill, N. A. O., Wodehouse, D. C. J., & Koldewey, H. J. (2022) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2021.775341 · Cited by 24 · see citing works

Justice and ethics in conservation remote sensing: Current discourses and research needs

York, N. D. L., Pritchard, R., Sauls, L. A., Enns, C., & Foster, T. (2023) · Biological Conservation · doi:10.1016/j.biocon.2023.110319 · Cited by 22 · see citing works

Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery

Stoll, E., Roopsind, A., Maharaj, G., Velazco, S., & Caughlin, T. T. (2022) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.250 · Cited by 18 · see citing works

Transfer learning from citizen science photographs enables plant species identification in UAV imagery

Soltani, S., Feilhauer, H., Duker, R., & Kattenborn, T. (2022) · ISPRS Open Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.ophoto.2022.100016 · Cited by 18 · see citing works

Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research

Hanuš, J., Slezák, L., Fabiánek, T., Fajmon, L. (., Hanousek, T., Janoutová, R., Kopkáně, D., Novotný, J., Pavelka, K., Pikl, M., et al. (2023) · Remote Sensing · doi:10.3390/rs15123130 · Cited by 14 · see citing works

From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species mapping in drone imagery

Soltani, S., Ferlian, O., Eisenhauer, N., Feilhauer, H., & Kattenborn, T. (2024) · Biogeosciences · doi:10.5194/bg-21-2909-2024 · Cited by 14 · see citing works

Remote Sensing That Makes Sense in Ecological Research—From Pixels to Conservation

Luiselli, L. M., & Pacini, N. (2025) · African Journal of Ecology · doi:10.1111/aje.70002 · Cited by 9 · see citing works

Space sustainability through atmosphere pollution? De-orbiting, atmosphere-blindness and planetary environmental injustice

Flamm, P., Lambach, D., Schaefer-Rolffs, U., Stolle, C., & Braun, V. (2024) · The Anthropocene Review · doi:10.1177/20530196241255088 · Cited by 7 · see citing works

Analysis of Biological Images and Quantitative Monitoring Using Deep Learning and Computer Vision

Gálvez-Salido, A., Robles, F., Gonçalves, R. J., de la Herrán, R., Rejón, C. R., & Navajas‐Pérez, R. (2026) · Journal of Imaging · doi:10.3390/jimaging12020088 · Cited by 7 · see citing works

A review of PlanetScope CubeSats for forest monitoring

Shields, S. G., Coops, N. C., Achim, A., Hamelin, R. C., & Mulverhill, C. (2025) · Science of Remote Sensing · doi:10.1016/j.srs.2025.100314 · Cited by 6 · see citing works

Satellite Remote Sensing for Wildlife Research in the Polar Regions

Lynch, H. J. (2023) · Marine Technology Society Journal · doi:10.4031/mtsj.57.3.1 · Cited by 6 · see citing works

On-Orbit Performance and Hyperspectral Data Processing of the TIRSAT CubeSat Mission

Aoyanagi, Y., Doi, T., Arai, H., Shimada, Y., Yasuda, M., Yamazaki, T., & Sawazaki, H. (2025) · Remote Sensing · doi:10.3390/rs17111903 · Cited by 4 · see citing works

Contemporary Remote Sensing Tools for Integrated Assessment and Conservation Planning of Ice-free AntarcticaPreprint

Patricio-Valerio, L., Shaw, J. D. S., González, F., Robinson, S. A., & Helmstedt, K. J. (2022) · doi:10.31223/x5ds7q · Cited by 3 · see citing works

Fine-scale mapping of ocean user groups to support species and habitat spatial management

Exeter, O. M., Branscombe, J., Broderick, A. C., Hooper, T., Maclennan, J., Russell, T., Sugar, K., Trevail, A. M., Webber, J., & Metcalfe, K. (2025) · Marine Policy · doi:10.1016/j.marpol.2025.106588 · Cited by 3 · see citing works

Human interference with wildlife surveys: a case study from camera-trapping road underpasses in Costa Rica

Flatt, E. J., Brumberg, H., Hidalgo, M., & Whitworth, A. W. (2024) · Oryx · doi:10.1017/s0030605324000097 · Cited by 2 · see citing works

How commercial SmallSats are revolutionizing the remote detection and mapping of snow algae

Rand, C. F., & Khan, A. L. (2025) · Frontiers in Remote Sensing · doi:10.3389/frsen.2025.1572973 · Cited by 2 · see citing works

A Polyhydroxybutyrate-Supported Xerogel Biosensor for Rapid BOD Mapping and Integration with Satellite Data for Regional Water Quality Assessment

Gurkin, G., Efremov, A., Koryakina, I., Perchikov, R. N., Kharkova, A. S., Medvedeva, A. S., Fabiano, B., Reverberi, A. P., & Arlyapov, V. A. (2025) · Gels · doi:10.3390/gels11110849 · Cited by 1 · see citing works

Automated mask generation in citizen science smartphone photos and their value for mapping plant species in drone imagery

Soltani, S., Gillespie, L., Expósito‐Alonso, M., Ferlian, O., Eisenhauer, N., Feilhauer, H., & Kattenborn, T. (2025) · Biogeosciences · doi:10.5194/bg-22-6545-2025 · Cited by 1 · see citing works

SPAD Retrieval of Jujube Canopy Using UAV-Based Multispectral and RGB Features with Genetic Algorithm–Optimized Ensemble Learning

Hong, G., Yu, C., Lu, J., & Liu, L. (2026) · Agriculture · doi:10.3390/agriculture16020191 · Cited by 1 · see citing works

ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML

Langroudi, H. F., Karia, V., Pandit, T., Mashaido, B., & Kudithipudi, D. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-09779-9_4 · Cited by 1 · see citing works

Satellite Hands-On Learning Through ESAT Platform

Al-Mulla, Y. A., & Al-Alawi, M. (2024) · IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) · doi:10.1109/m2garss57310.2024.10537352

Space 4.0 – a common, democratic European space, part 4

Romaniuk, R. S., & Orleański, P. (2025) · International Journal of Electronics and Telecommunications · doi:10.24425/ijet.2025.153605

Application of Environmental Remote Sensing Data Fusion Technology in Ecological Monitoring

Zhou, W. (2025) · International Conference on Computer Science and Management Technology (ICCSMT) · doi:10.1145/3795154.3795388

Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model

Bayaraa, M., Sheil, B., & Rossi, C. (2026) · Scientific Reports · doi:10.1038/s41598-026-51005-z

Marine megafauna select pelagic habitats in a dynamic ocean

D’Antonio, B., Kavanaugh, M. T., Street, G. M., Andrews, R. D., Aoki, D. M., Gallagher, A. J., Lesage, V., Muller-Karger, F. E., Montes, E., Otis, D. B., et al. (2026) · Landscape Ecology · doi:10.1007/s10980-026-02428-6

Emerging innovations in movement ecology to address planetary challenges

Speaker, T., Beery, S., Davidson, S. C., Kays, R., Rutz, C., Solomon, J. N., Batist, C., & O'Donnell, S. A. L. (2026) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2026.1259

Remote Sensing Applications and Innovations via Small Satellite Constellations

Tan, S. (2020) · Springer eBooks · doi:10.1007/978-3-030-36308-6_44 · Cited by 2 · see citing works

Revolution in Demand and Supply during Last 10 Years in Small Earth Observation Satellites

Park, S.-D., Kim, B., Chang, H., Kim, E.-E., & Al-Marri, S. (2010) · Digital Commons - USU (Utah State University)

Small Satellites for Disaster and Environmental Monitoring

(2023) · Open Research (Auckland University of Technology)

Small Satellites in Remote Sensing of the Earth

Gansvind, I. N. (2020) · Izvestiya Atmospheric and Oceanic Physics · doi:10.1134/s0001433820090108

Small satellite remote sensing and applications – history, current and future

Xue, Y., Li, Y., Guang, J., Zhang, X., & Guo, J. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160801914945 · Cited by 108 · see citing works