Estimating Land Surface Temperature From Space : A Remote Sensing Perspective

ISBN-13: 9783639103656 / Angielski / Miękka / 2009 / 148 str.

Jiansheng Yang

Opis

This study addresses the fundamental science questionof modeling land surface temperature (LST) bycombining the field experiment, spatialinterpolation, and satellite thermal infrared remotesensing. Landsat thermal data were applied to derivesurface emissivity and brightness temperature.Field-observed temperatures were used to developalgorithms for predicting air temperature profiles ina forest canopy. The accuracy of LST estimates forthe study site was significantly improved bycalibration using satellite-derived surfaceemissivity. The results showed that split-windowmethod can be used to estimate LST using brightnesstemperatures derived from Landsat thermal data.Twenty-four polynomial models were developed usingfield observations to simulate and predict the airtemperature profiles in a forest canopy at any hourduring a summer day. This study demonstrated that thecombination of satellite thermal remote sensing,spatial interpolation, and field empirical models iscapable of obtaining accurate LST from Landsat dataand predicting air temperature profiles in forest canopy.

O autorze

Dr. Yang received his Ph.D. in Environmental Sciences from the
University of Rhode Island, M.Sc. in Natural Resources from the
University of Connecticut, and B.Sc. in Physics from the Shanxi
University, P. R. China. He is currently an Assistant Professor
in the Department of Geography at Ball State University, Muncie,
Indiana, USA.