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Sensors 2007, 7(12), 3209-3241; doi:10.3390/s7123209
Review
Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling
1
Department of Environmental Studies, Florida International University, Miami, Florida, USA
2
Center for Urban and Environmental Change, Department of Geography, Indiana State University
3
International Water Management Institute, Sri Lanka
4
EROS-United States Geological Survey
* Author to whom correspondence should be addressed.
Received: 8 November 2007 / Accepted: 26 November 2007 / Published: 11 November 2007
(This article belongs to the Special Issue Remote Sensing of Natural Resources and the Environment)
Abstract: The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition is reviewed and reported. Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography correlation studies is discussed. The review also discusses the use of remotely sensed-based rainfall and potential evapotranspiration for estimating crop water requirement satisfaction index and hence provides early warning information for growers. The review is not an exhaustive application of the remote sensing techniques rather a summary of some important applications in environmental studies and modeling.
Keywords: remote sensing; sensors; environment; urban; hydrology; early warning
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MDPI and ACS Style
Melesse, A.M.; Weng, Q.; Thenkabail, P.S.; Senay, G.B. Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling. Sensors 2007, 7, 3209-3241.
AMA StyleMelesse AM, Weng Q, Thenkabail PS, Senay GB. Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling. Sensors. 2007; 7(12):3209-3241.
Chicago/Turabian StyleMelesse, Assefa M.; Weng, Qihao; Thenkabail, Prasad S.; Senay, Gabriel B. 2007. "Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling." Sensors 7, no. 12: 3209-3241.
