A review of assessing the accuracy of classifications of remotely sensed data

Characterising performance of environmental models

Bennett, N. D., Croke, B. F. W., Guariso, G., Guillaume, J. H. A., Hamilton, S. H., Jakeman, A. J., Marsili-Libelli, S., Newham, L. T. H., Norton, J. P., Perrin, C., et al. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.09.011 · Cited by 1,536

PresenceAbsence : An R Package for Presence Absence Analysis

Freeman, E. A., & Moisen, G. (2008) · Journal of Statistical Software · doi:10.18637/jss.v023.i11 · Cited by 461

Characterizing a cyanobacterial bloom in western Lake Erie using satellite imagery and meteorological data.

Wynne, T. T., Stumpf, R. P., Tomlinson, M. C., & Dyble, J. (2010) · Limnology and Oceanography · doi:10.4319/lo.2010.55.5.2025 · Cited by 307

A patch-based convolutional neural network for remote sensing image classification

Sharma, A., Liu, X., Yang, X., & Shi, D. (2017) · Neural Networks · doi:10.1016/j.neunet.2017.07.017 · Cited by 260

Mapping form and function in urban areas: An approach based on urban metrics and continuous impervious surface data

Van de Voorde, T., Jacquet, W., & Canters, F. (2011) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2011.03.017 · Cited by 178

Limited effects of tree planting on forest canopy cover and rural livelihoods in Northern India

Coleman, E. A., Schultz, B., Ramprasad, V., Fischer, H., Rana, P., Filippi, A. M., Güneralp, B., Ma, A., Rodriguez Solorzano, C., Guleria, V., et al. (2021) · Nature Sustainability · doi:10.1038/s41893-021-00761-z · Cited by 172

Evaluation of the use of SeaWiFS imagery for detecting Karenia brevis harmful algal blooms in the eastern Gulf of Mexico.

Tomlinson, M. C., Stumpf, R. P., Ransibrahmanakul, V., Truby, E. W., Kirkpatrick, G. J., Pederson, B. A., Vargo, G. A., & Heil, C. A. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.02.014 · Cited by 166

Land-cover change and human population trends in the greater Serengeti ecosystem from 1984–2003

Estes, A. B., Kuemmerle, T., Kushnir, H., Radeloff, V. C., & Shugart, H. H. (2012) · Biological Conservation · doi:10.1016/j.biocon.2012.01.010 · Cited by 140

Impact of Land-use Change on Dengue and Malaria in Northern Thailand

Vanwambeke, S. O., Lambin, E. F., Eichhorn, M. P., Flasse, S. P., Harbach, R. E., Oskam, L., Somboon, P., van Beers, S., van Benthem, B. H. B., Walton, C., et al. (2007) · EcoHealth · doi:10.1007/s10393-007-0085-5 · Cited by 116

Predicting Sargassum blooms in the Caribbean Sea from MODIS observations

Wang, M., & Hu, C. (2017) · Geophysical Research Letters · doi:10.1002/2017gl072932 · Cited by 111

Spatial and temporal variability of macrophyte cover and productivity in the eastern Amazon floodplain: A remote sensing approach

Silva, T. S. F., Costa, M. P. F., & Melack, J. M. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.04.007 · Cited by 100

Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest

Shadman Roodposhti, M., Aryal, J., Lucieer, A., & Bryan, B. A. (2019) · Entropy · doi:10.3390/e21010078 · Cited by 65

Combining SAR and Optical Earth Observation with Hydraulic Simulation for Flood Mapping and Impact Assessment

Psomiadis, E., Diakakis, M., & Soulis, K. X. (2020) · Remote Sensing · doi:10.3390/rs12233980 · Cited by 61

Detecting Change at Archaeological Sites in North Africa Using Open-Source Satellite Imagery

Rayne, L., Gatto, M., Abdulaati, L., Al-Haddad, M., Sterry, M., Sheldrick, N., & Mattingly, D. (2020) · Remote Sensing · doi:10.3390/rs12223694 · Cited by 57

Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data

Arvor, D., Dubreuil, V., Simões, M., & Bégué, A. (2013) · GeoJournal · doi:10.1007/s10708-012-9469-3 · Cited by 54

Characterization of soil erosion indicators using hyperspectral data from a mediterranean rainfed cultivated region

Schmid, T., Rodriguez-Rastrero, M., Escribano, P., Palacios-Orueta, A., Ben-Dor, E., Plaza, A., Milewski, R., Huesca, M., Bracken, A., Cicuendez, V., et al. (2016) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2015.2462125 · Cited by 49

A framework for mapping vegetation over broad spatial extents: A technique to aid land management across jurisdictional boundaries

Haslem, A., Callister, K. E., Avitabile, S. C., Griffioen, P. A., Kelly, L. T., Nimmo, D. G., Spence-Bailey, L. M., Taylor, R. S., Watson, S. J., Brown, L., et al. (2010) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2010.07.002 · Cited by 45