Grassland Eco-Environmental Quality Assessment Based on RS in Hulun Lake Region

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Abstract:

Using the two periods of TM images and investigation of Hulun Lake, vegetation index, TS, NDMI, NDSI, slope are choosed as indicators. Grassland eco-environmental quality assessment model is builded by multiple linear regression to assess quality in the study area. From the evaluation results, poor and bad area increased from 9% to 17%, meanwhile, good and general area decreased from 89% to 81% in five years. The grassland eco-environmental quality in the study area is getting worse and worse.

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1120-1125

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October 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xiong Ying,Wang ke-lin,Huang Dao-you. Eco-Environmental Synthetic Evaluation Based on GIS Technology in Hunan Province [J]. Journal of Soil and Water Conservation,2004,18 (5) : 174-178.

Google Scholar

[2] Liu Zhen-bo,Zhao Jun,Ni Shao-xiang. Study on the Index System for Evaluating the Ecological Environmental Quality in Oases-A Case Study in the Zhangye City Oasis [J]. Arid Land Geography,2004,27 (4) : 580-585.

Google Scholar

[3] Wan Ben-Tai,Wang Wen-Jie,Cui Shu-Hong. Research on the methods of urban ecological environmental quality assessment[J]. Acta Ecological Sinica,2009,29 (3) : 1068-1073.

Google Scholar

[4] Baret F, Guyot G, Major D J. TSAVI: A vegetation index which minimizes soil brightness effects on LAI and APAR estimation. Proceeings of the 12th Canadian Symposium on Remote Sensing. Vancouver, Canada, 1989. 1355~1358.

DOI: 10.1109/igarss.1989.576128

Google Scholar

[5] Liu Wei-Dong. Extraction of Soil Moisture Information by Hyperspectral Remote Sensing[J]. Acta Pedologica Sinica,2004,9 (5) : 700-706.

Google Scholar