论文信息 - Evaluating the Potential of VI-LST Triangle Model for Quantitative Estimation of Soil Moisture using Optical Imagery

Evaluating the Potential of VI-LST Triangle Model for Quantitative Estimation of Soil Moisture using Optical Imagery

This research evaluates the potential of the vegetation index (VI) - land surface (LST) triangle model for quantitative soil moisture study using Moderate Resolution Imaging Spectroradiometer (MODIS) data in a semi-arid environment. The preliminary results indicate that the VI-LST triangle model has potential to be used for quantitative soil moisture estimation by optical imagery if combined with a reference soil moisture data. The Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) provides quantitative soil moisture estimation at 25 km spatial resolution. AMSR-E soil moisture information can be used in the VI-LST triangle model in conjunction with MODIS reflectance and thermal data to estimate soil moisture at the spatial resolution of MODIS (1 km).

Greg Easson | A. K. M. Hossain | G. Easson | A. Hossain

[1] Stuart E. Marsh,et al. A Landscape Approach for Detecting and Evaluating Change in a Semi-Arid Environment , 2000 .

[2] M. S. Moran,et al. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index , 1994 .

[3] Eric F. Lambin,et al. The surface temperature-vegetation index space for land cover and land-cover change analysis , 1996 .

[4] T. Carlson,et al. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover , 1994 .

[5] G. Easson,et al. Mapping spatial variation in surface moisture using reflective and thermal aster imagery for southern Africa , 2006 .