DocumentCode
576409
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
fYear
2012
fDate
22-27 July 2012
Firstpage
7561
Lastpage
7564
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351912
Filename
6351912
Link To Document