Paper
19 March 2013 Using RS and GIS techniques for soil and water resources protection in Lijiang city, China
Yu Song, Xiaodong Song, Xianhua Guo, Weiping Zhu
Author Affiliations +
Proceedings Volume 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 876204 (2013) https://doi.org/10.1117/12.2019690
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China
Abstract
Sustainable development is an important topic of concern in the context of increasingly serious environmental problems at both local and global scales. Coordinating the relationship between human and nature through ecological assessment and planning is an essential scientific issue to promote sustainable development at regional scale. In this paper, based on Remote Sensing (RS) and Geographic Information System (GIS), we integrated remote sensing index, hydrological analysis and multi-factor overlay analysis techniques in the whole ecological planning processes, and completed soil erosion risk assessment and drinking water resource ecological protection planning of Lijiang city, respectively. We found that (1) by utilizing the Normalized Difference Snow Index (NDSI), Modified Normalized Difference Water Index (MNDWI) and Normalized Differential Vegetation Index (NDVI) comprehensively, it is effective to accomplish the mountain land cover information extraction in the study area; (2) by integrating hydrogeomorphic and socio-economic factors and using spatial modeling, the multi-factor overlay analysis technique can improve the effectiveness of water resources protection plan program.
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Yu Song, Xiaodong Song, Xianhua Guo, and Weiping Zhu "Using RS and GIS techniques for soil and water resources protection in Lijiang city, China", Proc. SPIE 8762, PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 876204 (19 March 2013); https://doi.org/10.1117/12.2019690
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KEYWORDS
Remote sensing

Vegetation

Geographic information systems

Water

Soil science

Data modeling

Roads

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