Title :
Data analysis of karst collapse based on GIS: A case study of Jili, Guangxi
Author :
Guoqing Zhou ; Kunhua Chen ; Sunan He ; Jingjin Huang ; Hongbo Yan
Author_Institution :
GuangXi Key Lab. for Spatial Inf. & Geomatics Eng., Guilin Univ. of Technol., Guilin, China
Abstract :
The karst collapse is one of the six major geological disasters in China, the karst region is also the main geological disasters, to the integration of subsidence data management and evaluation is particularly important. In this paper, Lai bin, Jili of Guangxi province is taken as an example, combining RS and GIS technology for thematic information extraction and data management, extracted from remote sensing image subsided land use types; Use of GIS software ArcGIS for platform, combining with subsidence history text, drawings, and on-the-spot field to get the data, established the perfect combination of spatial database, graphic data of subsidence geological environment evaluation and spatial analysis provides a scientific and effective management; The last, The use of GIS space analysis function to completed accurate sensitivity assessment collapse rapid.
Keywords :
data analysis; disasters; geographic information systems; geomorphology; land use; remote sensing; ArcGIS; China; GIS software; GIS space analysis function; GIS technology; Guangxi province; Jili case study; RS technology; completed accurate collapse sensitivity assessment; data management; effective management; karst collapse data analysis; karst region; main geological disaster; major geological disaster; perfect spatial database combination; remote sensing image; scientific management; spatial analysis; subsided land use type; subsidence data evaluation integration; subsidence data management integration; subsidence geological environment evaluation graphic data; subsidence history drawing; subsidence history on-the-spot field; subsidence history text; thematic information extraction; Geographic information systems; Geology; Logistics; Remote sensing; Sensitivity; Spatial databases; Data management; GIS; Sensitivity assessment; collapse;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947129