Advanced image processing approach for ET estimation with remote sensing data of varying spectral, spatial and temporal resolutions

Sudhanshu Panda; Devendra M. Amatya; Young Kim; Ge Sun

Treesearch

Advanced image processing approach for ET estimation with remote sensing data of varying spectral, spatial and temporal resolutions

Informally Refereed

Authors:

Sudhanshu Panda, Devendra M. Amatya, Young Kim, Ge Sun

Year:

2016

Type:

General Technical Report

Station:

Southern Research Station

Source:

In: Stringer, Christina E.; Krauss, Ken W.; Latimer, James S., eds. 2016. Headwaters to estuaries: advances in watershed science and management -Proceedings of the Fifth Interagency Conference on Research in the Watersheds. March 2-5, 2015, North Charleston, South Carolina. e-General Technical Report SRS-211. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 302 p.

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Abstract

Evapotranspiration (ET) is one of the most important hydrologic parameters for vegetation growth, carbon sequestration, and other associated biodiversity study and analysis. Plant stomatal conductance, leaf area index, canopy temperature, soil moisture, and wind speed values generally correlate well with ET. It is difficult to estimate these hydrologic parameters of vast forest cover through in-situ measurements.

Parent Publication

Headwaters to estuaries: advances in watershed science and management - Proceedings of the Fifth Interagency Conference on Research in the Watersheds

Citation

Panda, Sudhanshu; Amatya, Devendra; Kim, Young; Sun, Ge. 2016. Advanced image processing approach for ET estimation with remote sensing data of varying spectral, spatial and temporal resolutions. In: Stringer, Christina E.; Krauss, Ken W.; Latimer, James S., eds. 2016. Headwaters to estuaries: advances in watershed science and management -Proceedings of the Fifth Interagency Conference on Research in the Watersheds. March 2-5, 2015, North Charleston, South Carolina. e-General Technical Report SRS-211. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 1 p.