Construction and validation of a new model for cropland soil moisture index based on MODIS data

Huailiang Chen; Hongwei Zhang; Shuang-he Shen; Weidong Yu; Chunhui Zou

doi:10.1117/12.825039

20 August 2009 Construction and validation of a new model for cropland soil moisture index based on MODIS data

Huailiang Chen, Hongwei Zhang, Shuang-he Shen, Weidong Yu, Chunhui Zou

Proceedings Volume 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI; 745418 (2009) https://doi.org/10.1117/12.825039
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring, and the spectrum interpretation of vegetation and soil are serious factors in the judgment of drought degree. To find a more real-time monitoring index of cropland soil moisture by remote sensing, a Cropland Soil Moisture Index (CSMI) was established in this paper based on the effective reflections of Normalized Difference Vegetation Index (NDVI) on deeper soil moisture and well expressions of Surface Water Content Index (SWCI) on surface soil moisture. By validation with different time-series MODIS data, the Cropland Soil Moisture Index (CSMI) not only overcome the limitation of hysteretic nature and saturated quickly of Normalized Difference Vegetation Index (NDVI), but also take the advantage of the Surface Water Content Index (SWCI) which effectively reduce the atmosphere disturbance and retrieval surface soil water content better. The index passed the significant F-tests with α = 0. 01, and is a true real-time drought monitoring index.

Citation Download Citation

Huailiang Chen, Hongwei Zhang, Shuang-he Shen, Weidong Yu, and Chunhui Zou "Construction and validation of a new model for cropland soil moisture index based on MODIS data", Proc. SPIE 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI, 745418 (20 August 2009); https://doi.org/10.1117/12.825039

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