The application of unified surface water capacity method in drought remote sensing monitoring

Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring, and the spectral interpretation of vegetation and soil are serious factors in the judgment of drought degree. Based on the spectral character of water, recently, a new model of Surface Water Capacity Index (SWCI) has been put forward, and the index is more sensitive to the surface water content, and suit for regional drought monitoring. The comparative analysis showed: SWCI is more sensitive than NDVI to monitoring surface soil water content; this is available in real-time soil drought monitoring.

[1]  S. Running,et al.  Developing Satellite-derived Estimates of Surface Moisture Status , 1993 .

[2]  A. J. Richardsons,et al.  DISTINGUISHING VEGETATION FROM SOIL BACKGROUND INFORMATION , 1977 .

[3]  R. Jackson.  Spectral indices in N-Space , 1983 .

[4]  Pei Zhang,et al.  Monitoring and spatio-temporal evolution researching on vegetation leaf water in China , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Liping Di,et al.  Modelling relationships between NDVI and precipitation during vegetative growth cycles , 1994 .

[6]  Li Jian.  The study on dynamic monitoring soil water contents using remote sensing optical method , 2003 .

[7]  Xiao Du,et al.  Construction and Validation of a New Model for Unified Surface Water Capacity Based on MODIS Data , 2007 .

[8]  S. Tarantola,et al.  Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications , 2002 .

[9]  Guo Ni,et al.  Vegetation Index and Its Advances , 2003 .

[10]  T. Carlson,et al.  On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .

[11]  A. Gitelson.  Wide Dynamic Range Vegetation Index for remote quantification of biophysical characteristics of vegetation. , 2004, Journal of plant physiology.

[12]  S. Tarantola,et al.  Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1 - Theoretical approach , 2002 .

[13]  A. Viña,et al.  Drought Monitoring with NDVI-Based Standardized Vegetation Index , 2002 .

[14]  Limin Yang,et al.  An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the U.S. northern and central Great Plains , 1998 .

[15]  Zhang Cheng-cai.  The Compare Studied to the Methods of Estimating Soil Moisture by Remote Sensing , 2004 .

[16]  F. Kogan,et al.  Drought Monitoring and Corn Yield Estimation in Southern Africa from AVHRR Data , 1998 .

[17]  F. Kogan.  Remote sensing of weather impacts on vegetation in non-homogeneous areas , 1990 .