Title :
Extraction and spatial pattern of vegetation cover fraction of the Yiluo Basin
Author :
Jianfeng Liu ; Xiwang Zhang ; Jishuang Zhang ; Yanke Hu
Author_Institution :
Yellow River Conservancy Tech. Inst., Kaifeng, China
Abstract :
The extraction of vegetation cover information has significance for watershed resource and environmental quality assessment, management and development, and sustainable development. This paper extracts the vegetation fraction using the 2009 TM image data of the Yiluo River Basin, based on the dimidiate pixel model. Vegetation fraction is divided into five categories from low to high in order to study the spatial variation of vegetation cover situation. The results show that the basin´s vegetation cover is good overall, with an average 60%. High value region of vegetation cover is located in Luanchuan, and near Bear Ear Mountain, and the southern of Luonan County. The low value region is located in Song County and the River part of Luoning County. The area of vegetation´s fraction is greater than 80%, and accounts for 57% of the entire study area, mainly concentrated in the Luhun reservoir to Luoning County. Less than 20% accounts for less than 5%, and mainly along both sides of the rivers, Luonan County and Luoyang City. The results will provide the basis for regional development and controlling.
Keywords :
environmental management; geophysical image processing; reservoirs; rivers; sustainable development; vegetation; vegetation mapping; Bear Ear Mountain; China; Luanchuan; Luhun reservoir; Luonan County; Luoning County; Luoyang City; River part; Song County; TM image data; Yiluo River Basin; dimidiate pixel model; environmental quality assessment; high value region; low value region; regional development; spatial pattern; spatial variation; sustainable development; vegetation cover fraction; vegetation cover information extraction; vegetation cover situation; watershed resource; Biological system modeling; Cities and towns; Data mining; Remote sensing; Rivers; Soil; Vegetation mapping; Dimidiate Pixel Model; ERDAS; NDVI; Vegetation fraction; Yiluo river;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626209