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Desertification Risk Monitoring for North Shaanxi Province, China,Using Normalized Difference Vegetation Index(NDVI)
作者姓名:MushtakTalibJabbar
作者单位:FacultyofEarthResources,ChinaUniversityofGeosciences,Wuhan430074
摘    要:In this study,the remote sensing is applied to the examination of the relationship between desertification and normalized difference vegetation index(NDVI) in the context of northern Shaanxi Province.This relationship is also examined using spatial analysis methods.A strong negative correlation is found in the largest area desert,indicating that the relationship between desert and NDVI is not a sim-ple linear one and that the correlation coefficient between NDVI and vegetation abundance is significant.The normalized difference vegetation index(NDVI) was compared with other vegetation index-based methodologies.NDVI is a valuable first-cut indicator for such systems, although the analysis and inter-pretation of its relationship to desertification are complex and also based on the detailed analysis of its re-lationship to ecological zone,vegetation type and season.Conclusions thus made would help to upgrade the methodology as an effective tool for early-warning desertification in the northern Shaanxi Province where a drought is a recurring threat.This methodology includes the integration of NDVI with other socio-economic and bio-physical indicators in GIS ,the complementation of desert area data with satellite data,and the analysis of the relationship between NDVI and specific climatic zones,for each season and vegetation type.

关 键 词:归一化差分植被指数  中国  沙漠  荒漠化  遥感

Desertification Risk Monitoring for North Shaanxi Province, China, Using Normalized Difference Vegetation Index (NDVI)
MushtakTalibJabbar.Desertification Risk Monitoring for North Shaanxi Province, China, Using Normalized Difference Vegetation Index (NDVI)[J].Journal of China University of Geosciences,2002,13(1):58-66,94.
Authors:Mushtak Talib Jabbar
Abstract:In this study, the remote sensing is applied to the examination of the relationship between desertification and normalized difference vegetation index (NDVI) in the context of northern Shaanxi Province. This relationship is also examined using spatial analysis methods. A strong negative correlation is found in the largest area desert, indicating that the relationship between desert and NDVI is not a simple linear one and that the correlation coefficient between NDVI and vegetation abundance is significant. The normalized difference vegetation index (NDVI) was compared with other vegetation index-based methodologies. NDVI is a valuable first-cut indicator for such systems, although the analysis and interpretation of its relationship to desertification are complex and also based on the detailed analysis of its relationship to ecological zone, vegetation type and season. Conclusions thus made would help to upgrade the methodology as an effective tool for early-warning desertification in the northern Shaanxi Province where a drought is a recurring threat. This methodology includes the integration of NDVI with other socio-economic and bio-physical indicators in CIS, the complementation of desert area data with satellite data, and the analysis of the relationship between NDVI and specific climatic zones, for each season and vegetation type.
Keywords:desert  desertification  remote sensing  NDVI  China  
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