Improved spatial resolution in soil moisture retrieval at arid mining area using apparent thermal inertia

A surface soil moisture model with improved spatial resolution was developed using remotely sensed apparent thermal inertia (ATI). The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temp...

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Bibliographic Details
Published in:Transactions of Nonferrous Metals Society of China 2014-06, Vol.24 (6), p.1866-1873
Main Authors: LEI, Shao-gang, BIAN, Zheng-fu, DANIELS, John L., LIU, Dong-lie
Format: Article
Language:English
Subjects:
Inertia
Mathematical models
MODIS
Regression
remote sensing
Soil moisture
soil temperature difference
soil water content
Spatial resolution
Surface temperature
thermal inertia
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Summary:A surface soil moisture model with improved spatial resolution was developed using remotely sensed apparent thermal inertia (ATI). The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temperature difference based on the heat conduction equation, which is necessary to calculate the ATI. Consequently, the spatial resolution of ATI and SMC can be enhanced from 1 km to 120 m (TM) or 60 m (ETM+). Moreover, the enhanced ATI has a much stronger correlation coefficient (R2) with SMC (0.789) than the surface reflectance (0.108) or the ATI derived only from MODIS images (0.264). Based on the regression statistics of the field SMC measurement and enhanced ATI, a linear regression model with an RMS error of 1.90% was found.
ISSN:1003-6326
DOI:10.1016/S1003-6326(14)63265-9