NDLI: Regional aboveground forest biomass estimation using airborne and spaceborne LiDAR fusion with optical data in the Southwest of China

Content Provider	IEEE Xplore Digital Library
Author	Kebiao Huang Yong Pang Qingtai Shu Tian Fu
Copyright Year	2010
Description	Author affiliation: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China (Kebiao Huang; Yong Pang; Tian Fu) \|\| Faculty of Natural Resource, Southwest Forestry University, Kunming 650224, China (Qingtai Shu)
Abstract	Laser altimeter systems provide an accurate measurement of canopy height, the vertical structure of vegetation and the aboveground biomass (AGB). Airborne discrete return LiDAR (Light Detection and Ranging) was used operationally in many cases and some regions; spaceborne large footprint LiDAR (ICESat GLAS) has acquired over 250 million LiDAR observations over forest regions globally. The ICESat GLAS data have been used successfully for forest height and biomass in various sites. To estimate aboveground forest biomass in the Southwest of China, products from EOS MODIS and ENVISAT MERIS were used to expand the estimation from GLAS data. Airborne LiDAR data were collected along GLAS orbit to estimate forest height and biomass for each GLAS footprint after training with 81 field measured plots. The $R^{2}$ are 0.68 and 0.91 for field measured biomass and mean height estimation using airborne LiDAR data. Then the aboveground biomass was estimated from ICESat GLAS data using the equation trained by field data $(R^{2}$ = 0.47, n=185). EOS MODIS Vegetation Continuous Fields (VCF) product, enhanced vegetation index (EVI) product and ENVISAT MERIS Regional Land Cover product were used to generate 175 forest classes, which included five forest canopy density classes, five vegetation index classes, and seven forest cover types. Then we combined forest aboveground biomass derived from GLAS pulses footprint with 175 forest classes to generate a continuous aboveground forest biomass map of study area. Forest aboveground biomass was minimal at 43 Mg/ha, maximal at 133 Mg/ha, averaged at 78.9 Mg/ha in the study area. The results of predicted aboveground biomass were in agreement on the amount and distribution after comparison with reference data, which showed that the predict model for GLAS successfully captured the distribution of aboveground biomass.
Starting Page	1
Ending Page	6
File Size	1530309
Page Count	6
File Format	PDF
ISBN	9781424473014
e-ISBN	9781424473038
DOI	10.1109/GEOINFORMATICS.2010.5567745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical filters Laser radar Biomass estimatation Optical data Vegetation mapping LiDAR ICESat GLAS Biomass Mathematical model Equations MODIS
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in