DocumentCode :
576575
Title :
Use of DEMs data to estimate height changes due to Deforestation
Author :
Avtar, Ram ; Sawada, Haruo ; Suzuki, Rikie
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
5333
Lastpage :
5336
Abstract :
Deforestation has been a major cause of the climate change. An accurate estimation of deforested area is needed for United Nations Reducing Emissions from Deforestation and Forest Degradation (UN-REDD+) policies implementation. The height of the deforested area was estimated using different digital elevation models (DEMs) in Cambodia. The Shuttle Radar Topographic Mission-Digital Elevation Model (SRTM-DEM), Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER-GDEM) and Panchromatic Remote sensing Instrument for Stereo Mapping-Digital Surface Model (PRISM-DSM) data were calibrated using Ice Cloud and land Elevation Satellite Geoscience Laser Altimeter System (ICESat-GLAS) data. The results obtained from this study clearly showed the height of the deforested area. Field data has been used to validate the height of the cut-over forests, which shows ±5 m uncertainties in the estimation.
Keywords :
digital elevation models; remote sensing; terrain mapping; Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model data; Cambodia; Ice Cloud and land Elevation Satellite Geoscience Laser Altimeter System data; Panchromatic Remote sensing Instrument for Stereo Mapping-Digital Surface Model data; Shuttle Radar Topographic Mission-Digital Elevation Model; United Nations Reducing Emissions from Deforestation and Forest Degradation policies; climate change; cut-over forests; deforested area; height changes; Carbon dioxide; Earth; Estimation; Laser radar; Meteorology; Remote sensing; Satellites;
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.2012.6352403
Filename :
6352403
Link To Document :
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