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Remote Sensing Assessment of Salinization Impacts in the Tarim Basin: The Delta Oasis of the Ugan and Kuqa Rivers

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Abstract

Extracting information about saline soils from remote sensing data can be useful, particularly given the environmental significance and changing nature of these soils in arid environments. One interesting case study is the delta oasis of the Ugan and Kuqa rivers in China’s Xinjiang region, which was studied using a landsat enhanced thematic mapper plus (ETM+) image collected in August 2001. In recent years, decision tree classifiers have been used successfully for land cover classification from remote sensing data. Principal component analysis (PCA) is a popular data reduction technique used to help build a decision tree; it reduces complexity and can help improve the classification precision of a decision tree. A decision tree approach was used to determine the key variables to be used for classification and ultimately extract salinized soil from other cover and soil types within the study area. The third principal component (PC3) is an effective variable in the decision tree classification for salinized soil information extraction. The PC3 was the best band to identify areas of severely salinized soil; the blue spectral band from the ETM+ sensor (TM1) was the best band to identify salinized soil with the salt-tolerant vegetation of tamarisk (Tamarix chinensis Lour); and areas comprising mixed water bodies and vegetation can be identified using the spectral indices Modified Normalized Difference Water Index (MNDWI) and Normalized Difference Vegetation Index (NDVI). Based upon this analysis, a decision tree classifier was applied to classify land cover types with different levels of soil saline. The overall accuracy of the classification was 94.80%, which suggests that the decision tree model was a simple and effective method with relatively high precision.

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Acknowledgements

We would like to acknowledge the support of the Faculty of Resources and Environment Science of Xinjiang University. This work was supported by the National Natural Science Foundation of China (Grant no. 40261006). The authors wish to express special thanks to Professor Jian-li Ding, Master Hong-nan Jiang (University of Xinjiang), and PhD student Qi-sheng He (Institute of Remote Sensing Applications of the Chinese Academy of Sciences) for participating in this research program, participating in field trips with us, arranging for the collection of data, and carrying out analysis, etc., for this research.

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Authors and Affiliations

  1. College of Resource and Environment Sciences, Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China

    Tashpolat Tiyip (Professor) & Fei Zhang (PhD candidate)

  2. Department of Earth Sciences, The University of Memphis, Memphis, USA

    Gregory N. Taff (Associate Professor) & Hsiang-te Kung (Professor)

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  1. Tashpolat Tiyip
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  2. Gregory N. Taff
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  1. GDR CNRS 2524 Res-Eau-Ville, rue Saint Guillaume 28, Paris, 75007, France

    Graciela Schneier-Madanes

  2. Dépt. Sciences Humaines et Sociales, CNRS, rue Michel-Ange 3, Paris CX 16, 75794, France

    Marie-Francoise Courel

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Tiyip, T., Taff, G.N., Kung, Ht., Zhang, F. (2010). Remote Sensing Assessment of Salinization Impacts in the Tarim Basin: The Delta Oasis of the Ugan and Kuqa Rivers. In: Schneier-Madanes, G., Courel, MF. (eds) Water and Sustainability in Arid Regions. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2776-4_2

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