01970nas a2200241   4500008004100000245016300041210006900204300001500273490000800288520116300296653001201459653002301471653001801494653001601512653001001528653002601538653001501564653001301579100001701592700001401609700001801623856008701641       2008                        eng d00aAssessing the multi-resolution information content of remotely sensed    variables and elevation for evapotranspiration in a tall-grass prairie    environment0 aAssessing the multiresolution information content of remotely se  a2977 -29870 v1123 a<p>Understanding the spatial scaling behavior of evapotranspiration and its relation to controlling factors on the land surface is necessary to accurately estimate regional water cycling. We propose a method for ascertaining this scaling behavior via a combination of wavelet multi-resolution analysis and information theory metrics. Using a physically-based modeling framework, we are able to compute spatially distributed latent heat fluxes over the tall-grass prairie in North-central Kansas for August 8, 2005. Comparison with three eddy-covariance stations and a large aperture scintillometer demonstrates good agreement, and thus give confidence in the modeled fluxes. Results indicate that the spatial variability in radiometric temperature (a proxy for soil moisture) most closely controls the spatial variability in evapotranspiration. Small scale variability in the water flux can be ascribed to the small scale spatial variance in the fractional vegetation. In addition, correlation analysis indicates general scale invariance and that low spatial resolution data may be adequate for accurately determining water cycling in prairie ecosystems.</p>10aEntropy10ainformation theory10aKonza Prairie10aLatent heat10aMODIS10aSpatial heterogeneity10aSVAT model10awavelets1 aBrunsell, N.1 aHam, J.M.1 aOwensby, C.E.  uhttps://www.sciencedirect.com/science/article/abs/pii/S0034425708000655?via%3Dihub