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global conversion of natural resources for human uses (Seto et al.2002. Documentation of all of these problems and many others are of interest to the broader ecological community at scales from local to global. This can only realistically be accomplished with satellite observations in combination wi...
“Fusion of Optical and SAR Satellite Data for Environmental Monitoring: Assessment of Damages and Disturbances Originated by Forest Fires.” Paper presented at the Image and Signal Processing for Remote Sensing XXVIII, Berlin, Germany. (Open in a new window)Google Scholar...
Remotely sensed measures of Hurricane Michael damage and adverse perinatal outcomes and access to prenatal care services in the Florida panhandle[J]. Environmental Health, 2022, 21(1): 118. DOI: 10.1186/s12940-022-00924-1 [44] Singh P, Roy A, Bhasin D, et al. Crop fires and ...
29 - New satellite images show increase in air pollution in Amazon after fires New satellite images published by the European Space Agency show an increase in air pollution in the Brazilian Amazon while fires burned in the region in August. Several maps showed more carbon monoxide and other poll...
The impact of increasing the horizontal resolution in estimating extreme climate variability on a regional scale is first compared against reference gridded datasets, including reanalysis, satellite, and merging products. We used three different groups based on the resolution of the model’s grid (sg...
There is an unprecedented array of new satellite technologies with capabilities for advancing our understanding of ecological processes and the changing composition of the Earth’s biosphere at scales from local plots to the whole planet. We identified 4
The Arctic has experienced the most rapid change in climate of anywhere on Earth, and these changes are certain to drive changes in the carbon budget of the Arctic as vegetation changes, soils warm, fires become more frequent, and wetlands evolve as permafrost thaws. In this study, we review...
Analysis of urban growth and estimating population density using satellite images of nighttime lights and land-use and population data. GISci Remote Sens. 2015;52:765–80. Google Scholar Singh H, Garg RD, Karnatak HC, Roy A. Spatial landscape model to characterize biological diversity using R...