Title :
Land use/land cover change analysis for Li River Basin, China with multitemporal landsat data
Author :
Linlin Lu ; Yinghong He ; Xi Zhang ; Qingting Li ; Guang Liu
Author_Institution :
Key Lab. of Digital Earth Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Abstract :
The Li River Basin in Guangxi Province, China forms the world-famous Guilin landscape. However, the eco-environment of Li River Basin deteriorated in last decades. To monitor the land use/land cover (LULC) changes in this area, the study area was classified into five land cover types: urban area, grassland, forest, farming area, and water body. Based on the training samples manly collected, we applied a supervised classifier to the two adjacent Landsat scenes covering the entire Li River Basin. The classification images were generated in 1991, 2000 and 2008 respectively. By analyzing the dynamic changes of these LULC types from 1991 to 2008 with a post-classification method, several conclusions can be drawn. The areas of grassland and urban have increased, while forest and farmland decreased ad different rates during the last two decades. The main reasons for the change of vegetation and water source areas can be attributed to urbanization expansion, deforestation, soil erosion and other factors.
Keywords :
erosion; land cover; land use; remote sensing; rivers; AD 1991 to 2008; Guangxi province; Li River basin eco-environment; Li river basin; adjacent Landsat scenes; classification images; land cover change analysis; land cover types; land use change analysis; multitemporal Landsat data; post-classification method; soil erosion; urban area; urbanization expansion; vegetation change; water source areas; world-famous Guilin landscape; Accuracy; Earth; Monitoring; Remote sensing; Rivers; Satellites; Urban areas; Landsat; Li River Basin; land use/land cover; multitemporal;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885105