Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Construction and Environment | en_US |
| dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
| dc.contributor.advisor | Wong, Man-sing Charles (LSGI) | - |
| dc.creator | Hailati, Hainaer | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/10523 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Assessment of soil erosion and land degradation at Urumqi based on GIS and remote sensing | en_US |
| dcterms.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. | en_US |
| dcterms.extent | 61 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2017 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Soil erosion -- China -- Ürümqi | en_US |
| dcterms.LCSH | Land degradation -- China -- Ürümqi | en_US |
| dcterms.LCSH | Remote sensing | en_US |
| dcterms.LCSH | Geographic information systems | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 991022385849403411.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 29.85 MB | Adobe PDF | View/Open |
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