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The relationship between remotely sensed surface temperature (T) and normalized difference vegetation index (NDVI) was studied over China with 10‐day composite Advanced Very High Resolution Radiometer (AVHRR) data at 8‐km spatial resolution. Results showed that the slope of the relationship between T and NDVI (T/NDVI slope) could be determined effectively during the growing season with a certain range of NDVI. The derived T/NDVI slope from image windows was significantly correlated to in situ soil moisture (r = 0.77, p<0.01). Based on determination of wet and dry edges of T/NDVI space and the relationship between soil moisture and the T/NDVI slope, a new approach was proposed to estimate distributed soil moisture. Using the approach, the derived soil moisture approximated the conditions recorded on the ground.
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Xin et al. (2006) studied this question.
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