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Remote Sensing of Environment, ISSN 0034-4257, 04/2019, Volume 224, pp. 382 - 385
The United States (U.S.) federal government provides imagery obtained by federally funded Earth Observation satellites typically at no cost. For many years... 
Policy | Land change | Land cover | Open access | Open data | Land use | ENVIRONMENTAL SCIENCES | REMOTE SENSING | TIME-SERIES | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | SCIENCE | Earth resources technology satellites | Remote sensing | Satellite imagery | Geological surveys | Satellites | Federal government | Landsat | Satellite observation | Private sector | Landsat satellites
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 05/2019, p. 111165
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 2019, p. 111051
The REDD+ mechanism of UNFCCC was established to reduce greenhouse gases emissions by means of financial incentives. Of importance to the success of REDD+ and... 
Deforestation | IPCC | Estimation | Landsat | Time series | Land cover | Colombian Amazon
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 06/2018, Volume 210, p. 193
Multi-spectral imagery from the Landsat family of satellites has been used to map forest properties for decades, but accurate forest type characterizations at... 
Seasonal variability | Forests | Hardwoods | Landsat | Growing season | Time series | Harmonic analysis | Mapping | Spectra | Remote sensing | Satellite imagery | Seasonal variations | Satellites | Algorithms | Phenology | Temporal variations | Landsat satellites | Reflectance
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 03/2014, Volume 144, pp. 152 - 171
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 03/2012, Volume 118, pp. 83 - 94
A new method called Fmask (Function of mask) for cloud and cloud shadow detection in Landsat imagery is provided. Landsat Top of Atmosphere (TOA) reflectance... 
Cloud shadow | Detection | Object-based | Landsat | Cloud | Fmask | COVER | ALGORITHM | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | MODIS | AVHRR DATA | ENVIRONMENTAL SCIENCES | REMOTE SENSING | CLEAR-SKY | SURFACE | RADIANCES | TRANSFORM | SPATIAL-RESOLUTION | NORTH-AMERICA | Earth resources technology satellites | Algorithms | Clouds | Remote sensing
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 03/2015, Volume 159, pp. 269 - 277
Identification of clouds, cloud shadows and snow in optical images is often a necessary step toward their use. Recently a new program (named Fmask) designed to... 
Cloud shadow | Snow | Sentinel | Cirrus | Cloud | Landsat | Fmask | DATA CONTINUITY MISSION | PERFORMANCE | RESOLUTION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | MASK | AUTOMATED CLOUD | ENVIRONMENTAL SCIENCES | REMOTE SENSING | COVER CHANGE | SCIENCE | NORTH-AMERICA | Earth resources technology satellites | Algorithms | Cirrus clouds | Remote sensing | Shadows | Satellite imagery | Clouds | Images | Image detection
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 09/2014, Volume 152, pp. 217 - 234
We developed a new algorithm called Tmask (multiTemporal mask) for automated masking of cloud, cloud shadow, and snow for multitemporal Landsat images. This... 
Multitemporal | Tmask | Cloud shadow | Snow | Cloud | Landsat | Change | Fmask | IMAGERY | PERFORMANCE | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | MODEL | REFLECTANCE | FORESTS | ENVIRONMENTAL SCIENCES | REMOTE SENSING | REWEIGHTED LEAST-SQUARES | SPECTRAL ALBEDO | THEMATIC MAPPER | ETM | Earth resources technology satellites | Algorithms | Analysis | Remote sensing | Shadows | Clouds | Images | Land cover | Masks | Pixels
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 07/2012, Volume 122, pp. 75 - 91
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 11/2016, Volume 185, pp. 16 - 36
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 02/2013, Volume 129, pp. 122 - 131
The area of land use or land cover change obtained directly from a map may differ greatly from the true area of change because of map classification error. An... 
Uncertainty | Accuracy assessment | Carbon modeling | Land use change | Land cover change | Stratified estimation | BIODIVERSITY | TROPICAL DEFORESTATION | THEMATIC MAP ACCURACY | CLASSIFICATION ACCURACY | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | REMOTELY-SENSED DATA | ALLOCATION | INFERENCE | ENVIRONMENTAL SCIENCES | REMOTE SENSING | SATELLITE DATA | URBAN-GROWTH | COVER CHANGE
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 2018, p. 110968
Tropical forest loss currently contributes 5 to 15% of anthropogenic carbon emissions to the atmosphere. The large uncertainty in emissions estimates is a... 
Deforestation | Degradation | Area estimation | Change detection | REDD | Time series analysis | Landsat
Journal Article
Journal of Geophysical Research D: Atmospheres, ISSN 0148-0227, 03/2003, Volume 108, Issue 5
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 07/2012, Volume 122, pp. 2 - 10
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 2012, Volume 117, pp. 72 - 82
Urban and peri-urban environments are composed of a wide variety of materials, making land cover classification challenging. The objective of this research is... 
Urban | Land cover | SAR | Classification | Landsat | MULTISCALE TEXTURE | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | HYPERSPECTRAL DATA | REMOT