NDLI: Forest aboveground carbon mapping using multiple source remote sensing data in the Greater Mekong Subregion

Content Provider	IEEE Xplore Digital Library
Author	Pang Yong Li Zengyuan
Copyright Year	2015
Description	Author affiliation: Inst. of Forest Resource Inf. Tech., Beijing, China (Pang Yong; Li Zengyuan)
Abstract	The Greater Mekong Subregion (GMS) is rich in forest resources. It is important to estimate forest carbon with high accuracy methods in this region. Remote sensing is an efficient way to estimate forest parameters in large area, especially at regional scale where field data is scarce. LIDAR provides accurate information on the vertical structure of forests. In this study, the forest carbon was estimated at ICESat GLAS footprint level after being trained with field measurements and airborne lidar estimations in GMS. According to different types of ecological zones, a set of categorical regression models was built between ICESat GLAS estimates and ENVISAT MERIS spectral variables together with MODIS VCF product. Then the forest carbon map with continuous value was generated. The estimation agreed well with FAO FRA 2010 report and other published results, and the average difference was about 13.3%.
Starting Page	2035
Ending Page	2037
File Size	245185
Page Count	3
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7326199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Carbon Remote sensing Laser radar Estimation Biomass MODIS Biological system modeling imagery remote sensing the Greater Mekong Subregion forest aboveground carbon LiDAR
Content Type	Text
Resource Type	Article

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