Assessing the multi-resolution information content of remotely sensed variables and elevation for evapotranspiration in a tall-grass prairie environment

Remote Sensing of Environment

Volumn 112, Issue 6, 2008, Pages 2977-2987

  Brunsell, N A ^a   Ham, J M ^b   Owensby, C E ^b  

^a UNIVERSITY OF KANSAS   (United States)

^b KANSAS STATE UNIVERSITY   (United States)

Author keywords

Entropy; Information theory; Konza prairie; Latent heat; MODIS; Spatial heterogeneity; SVAT model; Wavelets

Indexed keywords

ENTROPY; IMAGE RESOLUTION; INFORMATION THEORY; LATENT HEAT; REMOTE SENSING; WAVELET ANALYSIS;

KONZA PRAIRIE; SPATIAL HETEROGENEITY; SVAT MODEL;

PLANTS (BOTANY);

ASSESSMENT METHOD; ENTROPY; EVAPOTRANSPIRATION; GRASS; LATENT HEAT FLUX; MODIS; PRAIRIE; REMOTE SENSING; SOIL MOISTURE; SPATIAL RESOLUTION; SPATIAL VARIATION; WATER BUDGET; WAVELET;

KANSAS; NORTH AMERICA; UNITED STATES;

EID: 43949116579     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.02.002     Document Type: Article

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