DocumentCode
2240450
Title
Slope estimations in forest area from waveform and DEM
Author
Xiaolu Li ; Duan Li ; Lijun Xu
fYear
2012
fDate
22-27 July 2012
Firstpage
6255
Lastpage
6258
Abstract
In this paper, a novel physical model and its mathematical expressions were used to estimate the average slope of land by using LVIS data, which was collected in mountain area, California, USA. The waveform data obtained from LVIS were used to validate the local slope within footprint. It was compared with the other two methods which were based on the mean elevation of land and the forest canopy height. For eliminating the variance between the method proposed in this paper and two compared method, the mean elevation of land was used to modify the result estimated by the method advanced above. Calculation results indicate that the method proposed in this paper can make a more accurate and average estimation for the local slope of land and slope estimation was not influenced by the forest canopy height too much.
Keywords
digital elevation models; remote sensing by laser beam; topography (Earth); vegetation; California; DEM; LVIS data; Laser Vegetation Imaging Sensor; USA; forest area; forest canopy height; land average slope estimation; land mean elevation; mathematical expressions; mountain area; physical model; waveform data; Biomass; Estimation; Laser radar; Remote sensing; Standards; Vegetation; Vegetation mapping; LVIS; Slope estimation; non-Gaussian; waveforms;
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.2012.6352688
Filename
6352688
Link To Document