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Land Degradation Detection, Mapping, and monitoring in the Northwestern part of Hebei Province, China, Using RS and GIS Technologies
Ayad Mohammed Fadhil Al-Quraishi 1/2, Guang Dao Hu 1, Jian Guo Chen 1
1 Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China.
2 Ministry of Higher Education and Scientific Research, Foundation of Technical Education, Baghdad, Iraq.
Email: ayad@cug.edu.cn,
ayad_alquraishi@hotmail.com
Abstract
Two algorithms (Tasseled Cap Transformation and NDVI) and GIS technique were applied for this study in order to detect, mapping, and monitoring the land degradation in the Northwestern part of Hebei Province, China, at county level, which covered by Landsat-5 TM image (124/32) during the period from 1987 to 1996. Thresholding was used to acquire the changed areas and produce the general change maps, which contains three classes: positive change, negative change, and no-change. The results indicated that the study area had an increase in the tasseled cap greenness positive change, tasseled cap wetness positive change, NDVI values, and decrease in tasseled cap brightness values, which means increase in the vegetation cover and the soil moisture during the study period. Laishui County had the highest values of the vegetation cover increase and the lowest soil bareness values. The results also revealed that there was a high significant relationship between the values of the tasseled cap greenness indicator and the NDVI indices for the study area. This study demonstrates the effectiveness of the remote sensing 'RS' and the Geographical Information System 'GIS' in detection, assessing, mapping, monitoring, and generating essential quantitative information on the land degradation at county level in the Northwestern part of Hebei Province, China.
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