| NIR-red spectral space based new method for soil moisture monitoring |
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| 作者姓名： | GHULAN Abduwasit |
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| 作者单位： | Institute of |
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| 基金项目： | 国家重点基础研究发展计划(973计划);国家高技术研究发展计划(863计划) |
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| 摘 要： | Drought is a complex natural disaster that occurs frequently. Soil moisture has been the main issue in remote monitoring of drought events as the most direct and important variable describing the drought. Spatio-temporal distribution and variation of soil moisture evidently affect surface evapotranspiration, agricultural water demand, etc. In this paper, a new simple method for soil moisture monitoring is de- veloped using near-infrared versus red (NIR-red) spectral reflectance space. First, NIR-red spectral reflectance space is established using atmospheric and geometric corrected ETM data, which is manifested by a triangle shape, in which different surface covers have similar spatial distribution rules. Next, the model of soil moisture monitoring by remote sensing (SMMRS) is developed on the basis of the distribution characteristics of soil moisture in the NIR-red spectral reflectance space. Then, the SMMRS model is validated by comparison with field measured soil moisture data at different depths. The results showed that satellite estimated soil moisture by SMMRS is highly accordant with field measured data at 5 cm soil depth and average soil moisture at 0―20 cm soil depths, correlation coef- ficients are 0.80 and 0.87, respectively. This paper concludes that, being simple and effective, the SMMRS model has great potential to estimate surface moisture conditions.
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| 收稿时间： | 10 October 2005 |
| 修稿时间： | 11 April 2006 |
NIR-red spectral space based new method for soil moisture monitoring |
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| GHULAN Abduwasit.NIR-red spectral space based new method for soil moisture monitoring[J].Science in China(Earth Sciences),2007,50(2):283-289. |
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| Authors: | Zhan ZhiMing Qin QiMing Ghulan Abduwasit Wang DongDong |
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| Institution: | 1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China;Environmental Protection Bureau of Dongcheng District, Beijing 100007, China
2. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China |
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| Abstract: | Drought is a complex natural disaster that occurs frequently. Soil moisture has been the main issue in remote monitoring of
drought events as the most direct and important variable describing the drought. Spatio-temporal distribution and variation
of soil moisture evidently affect surface evapotranspiration, agricultural water demand, etc. In this paper, a new simple
method for soil moisture monitoring is developed using near-infrared versus red (NIR-red) spectral reflectance space. First,
NIR-red spectral reflectance space is established using atmospheric and geometric corrected ETM+ data, which is manifested
by a triangle shape, in which different surface covers have similar spatial distribution rules. Next, the model of soil moisture
monitoring by remote sensing (SMMRS) is developed on the basis of the distribution characteristics of soil moisture in the
NIR-red spectral reflectance space. Then, the SMMRS model is validated by comparison with field measured soil moisture data
at different depths. The results showed that satellite estimated soil moisture by SMMRS is highly accordant with field measured
data at 5 cm soil depth and average soil moisture at 0–20 cm soil depths, correlation coefficients are 0.80 and 0.87, respectively.
This paper concludes that, being simple and effective, the SMMRS model has great potential to estimate surface moisture conditions.
Supported by the Special Funds for the Major State Basic Research (973) Project (Grant No. G2000077900), the High-Tech Research
and Development Program of China (Grant No. 2001AA135110) and The Post Doc Fellowship Project from the National Natural Science
Foundation of China (Grant No. 2004035021) |
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| Keywords: | NIR-red spectral space soil moisture quantitative remote sensing soil drought remote monitoring of soil moisture |
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