Length Scale Analysis of Surface Energy Fluxes Derived from Remote Sensing

Nathaniel A. Brunsell Department of Plants, Soils, and Biometeorology, Utah State University, Logan, Utah

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Robert R. Gillies Department of Plants, Soils, and Biometeorology, and Department of Aquatic, Watershed and Earth Resources, Utah State University, Logan, Utah

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Abstract

Wavelet multiresolution analysis was used to examine the variation in dominant length scales determined from remotely sensed airborne- and satellite-derived surface energy flux data. The wavelet cospectra are computed between surface radiometric temperature, fractional vegetation, and derived energy fluxes at airborne (12 m) and Advanced Very High Resolution Radiometer (AVHRR) (1000 m) resolutions. Length scale analysis of high-resolution data shows that small-scale variability in temperature dominates over other effects. Analysis of coarse-resolution data shows that small-scale variations in vegetation are important, although the large-scale variation in radiometric temperature dominates the derived fluxes. This is determined to be a result of the fact that, at smaller scales, the incoming solar radiation effect is muted by the small-scale variability in vegetation, temperature, and albedo, whereas at coarser scales, the large-scale effect of incoming radiation on temperature dominates over the smaller-scale features in surface variability.

Current affilication: Civil and Environmental Engineering, Duke University, Durham, North Carolina

Corresponding author address: Dr. Nathaniel A. Brunsell, Civil and Environmental Engineering, Duke University, Hudson Hall, Box 90287, Durham, NC 27708-0287. Email: brunsell@duke.edu

Abstract

Wavelet multiresolution analysis was used to examine the variation in dominant length scales determined from remotely sensed airborne- and satellite-derived surface energy flux data. The wavelet cospectra are computed between surface radiometric temperature, fractional vegetation, and derived energy fluxes at airborne (12 m) and Advanced Very High Resolution Radiometer (AVHRR) (1000 m) resolutions. Length scale analysis of high-resolution data shows that small-scale variability in temperature dominates over other effects. Analysis of coarse-resolution data shows that small-scale variations in vegetation are important, although the large-scale variation in radiometric temperature dominates the derived fluxes. This is determined to be a result of the fact that, at smaller scales, the incoming solar radiation effect is muted by the small-scale variability in vegetation, temperature, and albedo, whereas at coarser scales, the large-scale effect of incoming radiation on temperature dominates over the smaller-scale features in surface variability.

Current affilication: Civil and Environmental Engineering, Duke University, Durham, North Carolina

Corresponding author address: Dr. Nathaniel A. Brunsell, Civil and Environmental Engineering, Duke University, Hudson Hall, Box 90287, Durham, NC 27708-0287. Email: brunsell@duke.edu

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