Skip all navigation and jump to content Jump to site navigation
NASA Logo - Goddard Space Flight Center

+ NASA Homepage

    
Goddard Space Flight Center
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

Yao, YJ; Qin, QM; Zhao, SH; Yuan, WL (2011). Retrieval of soil moisture based on MODIS shortwave infrared spectral feature. JOURNAL OF INFRARED AND MILLIMETER WAVES, 30(1), 9-0.

Abstract
Soil moisture was one of the most important parameters characterizing surface dryness conditions. Its retrieval by quantitative remote sensing methods had been a challenging problem. By analyzing the sensitivity of shortwave infrared MODIS band 6 and band 7 to the changes of water, the MODIS shortwave infrared spectral feature space was constructed. According to the soil moisture variation in spectral feature space, a simple and practical MODIS shortwave infrared soil moisture index (SEMI) was put forward and validated using ground-measured 0 similar to 10 cm averaged soil moisture of Ningxia plain. The results show that the coefficient of determination (R(2)) of both them varies from 0.39 to 0.58, and SIMI has higher accuracy than temperature-vegetation index (TVX) for soil moisture retrieval. These results support the reliability of this index for regional soil moisture retrieval. However, SIMI does not eliminate the impact of mixed-pixels and still needs further improvement and perfection.

DOI:
1001-9014

ISSN:

FirstGov logo Privacy Policy and Important Notices NASA logo

Curator: Brandon Maccherone
NASA Official: Shannell Frazier

NASA Home Page Goddard Space Flight Center Home Page