Author: Hailati, Hainaer
Title: Assessment of soil erosion and land degradation at Urumqi based on GIS and remote sensing
Advisors: Wong, Man-sing Charles (LSGI)
Degree: M.Sc.
Year: 2017
Subject: Soil erosion -- China -- Ürümqi
Land degradation -- China -- Ürümqi
Remote sensing
Geographic information systems
Hong Kong Polytechnic University -- Dissertations
Department: Faculty of Construction and Environment
Department of Land Surveying and Geo-Informatics
Pages: 61 pages : color illustrations
Language: English
Abstract: Soil erosion and degradation has become global ecological environmental issues in recent years and it can cause significant impacts to agriculture, waterways, infrastructure and so on. The soil erosion and land degradation in China have several characteristics, including multi-types, wide distribution, great regional difference and high probability of natural disasters. Furthermore, desertification and degradation of grasslands have seriously threatened regional ecological security and food security of China. Therefore, better understanding the current research status of soil erosion and land degradation include their formation mechanism is particularly important for regional sustainable development strategies and planning, preventing and controlling measures of soil erosion and land degradation. The objective of this study is to further investigate a more accurate method of determining the extent of soil erosion and land degradation by using GIS and RS tools, thereby overcoming the defects in previous studies. This paper will evaluate the current research status of soil erosion and land degradation in Urumqi and its surrounding areas (Xinjiang province, China). Different time periods from Landsat 5 image for comparisons. For soil erosion, using RUSLE method supplemented by GIS and RS tools, also carrying out quantitative analysis by using spatial overlay analysis function, in order to understand the relationship between watershed land use type, slope and the intensity of soil erosion. For land degradation, Soil Water Index (SWI), the Modified Soil-adjusted Vegetation Index (MSAVI) as well as land use were come up with the analysis.
Rights: All rights reserved
Access: restricted access

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