Title :
Object-based landslide detection in inclined bedding limestone area— A case study of Jiweishan landslide in Wulong, Chongqing
Author :
Shen, Lina ; Li, Yu ; Ma, Zulu ; Dai, Jianling ; Lin, Yushan ; Jiang, Zhongcheng
Author_Institution :
Inst. of Karst Geol., Chinese Acad. of Geol. Sci.(CAGS), Guilin, China
Abstract :
Remote sensing imageries with high resolution provide abundant information for landslide detection. It is vcry important for hazard investigation and mapping in limestorne area with complex landform. Object-oriented technology is one of these methodologics to extract thematic information from high solution remote sensing imageries. This paper takes Jiweishan limestone area as a case to detect landslide with object-oriented technology and change detection combined with analysis features of NDVI, NDGI, LenthWidth and etc in ALOS images. Land cover change direciton is a sensitive way to detect presumable landslid. Landslid usually bring bare land and blocked land. Jiweishan is a typical landslide in inclined bedding limestorn area which can be well and truly detected in this method.
Keywords :
geomorphology; geophysical image processing; image resolution; object detection; remote sensing; rocks; terrain mapping; ALOS image analysis; China; Chongqing; Jiweishan landslide; NDΠ; NDGI; Wulong; complex landform analysis; hazard analysis; high solution remote sensing image; inclined bedding limestone area; land cover change; object-based landslide detection; object-oriented technology; Failure analysis; Feature extraction; Image resolution; Rocks; Sensors; Terrain factors; Jiweishan; landslide detection; limestone area; object-based;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965263