Title :
Slope estimations in forest area from waveform and DEM
Author :
Xiaolu Li ; Duan Li ; Lijun Xu
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;
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.2012.6352688