NDLI: Analysis of spatial characteristics for landslides vegetation restoration monitoring by LiDAR surface roughness data and multispectrum imagery

Content Provider	IEEE Xplore Digital Library
Author	Mon-Shieh Yang Ming-Chee Wu Jin-King Liu
Copyright Year	2012
Description	Author affiliation: National Cheng Kung University (NCKU), Taiwan, R.O.C (Mon-Shieh Yang; Ming-Chee Wu) \|\| Taiwan Group on Earth Observations (TGEO), Taiwan, R.O.C (Jin-King Liu)
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.
Starting Page	7561
Ending Page	7564
File Size	293244
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6351912
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Terrain factors Image restoration Laser radar Surface topography Rough surfaces Surface roughness Digital elevation models Image texture analysis Image fusion
Content Type	Text
Resource Type	Article

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