Title :
Analysis of spatial characteristics for landslides vegetation restoration monitoring by LiDAR surface roughness data and multispectrum imagery
Author :
Yang, Mon-Shieh ; Wu, Ming-Chee ; Liu, Jin-King
Author_Institution :
Nat. Cheng Kung Univ. (NCKU), Tainan, Taiwan
Abstract :
Vegetative cover can contribute to improving the stability of steep slopes by reducing erosion; the vegetation growing condition may reflect the landslides spatial characteristics. The landslides and vegetation restoration evaluation in this study was implement by high resolution air-photo, SPOT-5 satellite image and air-borne LiDAR data then acquired for calculated vegetation restoration rate. The vegetation restoration results shown different spatially distribution on landslide area, the vegetation restoration rate where nearby riverbank is less than where in mountain area; the growing rate also shows the same appearance, the mean value with 3.2 meter in mountain area and the riverbank area with 1.1 meter restoration rate. It indicated that the vegetation restoration of mountain area appear well growing condition than in riverbank area. The steep slope appears with low vegetation restoration rate, it may have relations with higher frequency of landslides and lower disturbed by human in this area.
Keywords :
geomorphology; remote sensing by laser beam; vegetation; SPOT-5 satellite image data; air-borne LiDAR data; high resolution air-photo; landslide vegetation restoration monitoring; landslides spatial characteristics; lidar surface roughness data; mountain area; multispectrum imagery; riverbank area; vegetation growing condition; vegetation restoration evaluation; vegetation restoration rate; vegetative cover; Image restoration; Laser radar; Rough surfaces; Surface roughness; Surface topography; Terrain factors; Vegetation mapping; Digital elevation models; Image fusion; Image texture analysis; Surface roughness; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351912