Synergism of multispectral satellite observations for estimating regional land surface evaporation

The global water cycle is perhaps the most important of all the biogeochemical cycles, and land surface evaporation, which is a significant component of the water cycle, is also linked with heat and carbon cycles. Long-term, regional and global land surface evaporation have been computed using meteo...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing of environment 1994, Vol.49 (3), p.264-274
Main Author: Choudhury, Bhaskar J
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Biological and medical sciences
communaute vegetale
comunidades vegetales
Environmental impact
Estimation
evaporacion
evaporation
Evapotranspiration
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
geochemistry
geochimie
geoquimica
land
Meteorology
methode
methods
metodos
Optical resolving power
plant communities
remote sensing
Rivers
Runoff
Satellites
teledeteccion
teledetection
Teledetection and vegetation maps
terre
tierras
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The global water cycle is perhaps the most important of all the biogeochemical cycles, and land surface evaporation, which is a significant component of the water cycle, is also linked with heat and carbon cycles. Long-term, regional and global land surface evaporation have been computed using meteorological and river runoff data, although much uncertainties remain due to inadequacy of the input data. Multispectral observations could aid in estimating evaporation by providing spatially representative, multitemporal data for surface characteristics and fluxes. Estimation of evaporation using the residual method with coarse resolution multispectral satellite observations in the optical region is briefly reviewed. Then, semiempirical equations are used to relate unstressed transpiration to potential evaporation and vegetation indices, and correlations among multispectral data are discussed in the context of estimating evaporation.
ISSN:0034-4257
1879-0704
DOI:10.1016/0034-4257(94)90021-3