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REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (1) : 81-84     DOI: 10.6046/gtzyyg.2010.01.15
Technology Application |
The Monitoring of Land Desertification in the Manasi River Basin Based
on Multi-source Remotely Sensed Data
LIU Yan 1, DING Tao 2 , RUAN hui-hua 3, LIN Na 4
1.Urumqi Institute of Desert Meteorological,China Meteorological Administration,Urumqi  830002, China;2.Surveying and Desiging Institute of Xinjiang Forest Production and Construction corps, Urumqi  830013, China;3. Meteorological Information Center of GuangDong, Guangzhou 510080,China; 4. Chongqing Engineering Technology Research Center for Information Management in Development, Chongqing Technology and Business University, Chongqing 400067, China
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Abstract  

With the zone of oasis and deserts in the Manias River basin as the study object, the authors used different periods of TM data to analyze the patio-temporal features of land desertification at a small scale during the period of 2000~2008, and then calculated indexes of wind-eroded land desertification by using the multi-source information compounding method based on the MODIS data products (NDVI, Albode, LST). Meanwhile, on the basis of the TM land desertification monitoring results, land desertification indexes were processed at different levels, and an assessment model for land desertification monitoring was built approximately. It is shown that, in the past ten years, desertification land in the periphery area has not changed remarkably, while desertification land in the interior of the basin has experienced considerable change, which seems largely caused by local land cultivation or salinization. The experimental results show that a precision of 91.25% can be reached in quantitative assessment of land desertification.

Keywords Soil desertification      Image character      Map of gradual changes      Deterioration     
Issue Date: 22 March 2010
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LIU Yan, DING Tao- , RUAN Hui-Hua, LIN Na. The Monitoring of Land Desertification in the Manasi River Basin Based
on Multi-source Remotely Sensed Data[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(1): 81-84.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.01.15     OR     https://www.gtzyyg.com/EN/Y2010/V22/I1/81
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