| 光谱学与光谱分析 |
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| New Index for Soil Moisture Monitoring Based on ΔTs-Albedo Spectral Information |
| YAO Yun-jun1,2, QIN Qi-ming1*, ZHAO Shao-hua1,3, SHEN Xin-yi1,4, SUI Xin-xin1 |
1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China
2. College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
3. Environmental Satellite Center, Ministry of Environmental Protection, Beijing 100029, China
4. School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK73019, USA |
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Abstract Monitoring soil moisture by remote sensing has been an important problem for both agricultural drought monitoring and water resources management. In the present paper, we acquire the land surface temperature difference (ΔTs)and broadband albedo using MODIS Terra reflectance and land surface temperature products to construct the ΔTs-albedo spectral feature space. According to the soil moisture variation in spectral feature space, we put forward a simple and practical temperature difference albedo drought index (TDADI) and validate it using ground-measured 0～10 cm averaged soil moisture of Ningxia plain. The results show that the coefficient of determination (R2) of both them varies from 0.36 to 0.52, and TDADI has higher accuracy than temperature albedo drought index (TADI) for soil moisture retrieval. The good agreement of TDADI, Albedo/LST, LST/NDVI and TVDI for analyzing the trends of soil moisture change supports the reliability of TDADI. However, TDADI has been designed only at Ningxia plain and still needs further validation in other regions.
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Received: 2010-06-25
Accepted: 2010-09-20
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Corresponding Authors:
QIN Qi-ming
E-mail: qmqinku@163.com
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