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JOURNAL OF DESERT RESEARCH  2013, Vol. 33 Issue (4): 1104-1109    DOI: 10.7522/j.issn.1000-694X.2013.00156
Biology and Soil     
Soil Salinization Information Extraction by Using Hyperspectral Data of HJ-1A HSI: A case study in the Oasis of Ugan & Kuqa, Xinjiang, China
LEI Lei, TIYIP Tashpolat, DING Jian-li, JIANG Hong-nan, ZHANG Fei, YAO Yuan, KELIMU Ardak
College of Resource and Environment Sciences/Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046, China
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Abstract  

Soil salinization is a major land degradation problem in Xinjiang, China. Remote sensing has been found to be useful in detection, mapping and monitoring of salt-affected soils. A curvilinear regression model was proposed in this paper to assess the degree of soil salinization, based on correlation between soil salinity and the hyper spectral imaging (HSI) reflectance variation and screening sensitive wavebands on soil salinity of HSI images. The results showed that: the most sensitive HSI images waveband on soil salt content was Near-infrared band, in which 780-924 nm wavelength was the best band with a correlation coefficient of 0.8; the model using the reciprocal of HSI reflectance logarithm in first order differential could get the best result (regression equation: Y=-4.152-27.735X+769.813X2), as the coefficient determination R2 was higher than 0.88 and the root mean square error was about 3. The model might provide a reference for information extraction and monitoring of remote sensing on a large scale soil salinization area.

Key words:  HSI      soil salinization      curve regression model      Oasis of Ugan and Kuqa     
Received:  03 December 2012      Published:  10 January 2013
ZTFLH:  X833  

Cite this article: 

LEI Lei, TIYIP Tashpolat, DING Jian-li, JIANG Hong-nan, ZHANG Fei, YAO Yuan, KELIMU Ardak. Soil Salinization Information Extraction by Using Hyperspectral Data of HJ-1A HSI: A case study in the Oasis of Ugan & Kuqa, Xinjiang, China. JOURNAL OF DESERT RESEARCH, 2013, 33(4): 1104-1109.

URL: 

http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2013.00156     OR     http://www.desert.ac.cn/EN/Y2013/V33/I4/1104

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