Temperate forest aboveground biomass estimation by means of multi-sensor fusion: The Daxinganling campaign

Author

Yong Pang ; Zengyuan Li ; Kairui Zhao ; Erxue Chen ; Guoqing Sun

Author_Institution

Inst. of Forest Resource Inf. Tech., CAF, Beijing, China

fYear

2013

fDate

21-26 July 2013

Firstpage

991

Lastpage

994

Abstract

A campaign consists of in-situ measurement, airborne Lidar data and spaceborne data fusion was designed and implemented in Daxinganling of Northeastern China. The purpose of the campaign is to collect field and multi-sensor data to produce spatial explicit map of forest aboveground biomass for the entire region. This paper presents preliminary results of ABG mapping using field data, airborne lidar, ICESat GLAS, MODIS and ENVISAT MERIS data. The AGB map from multi-sensor fusion had a good performance with 8.1% difference after comparison with the estimated AGB in the Daxinganling Ecological Research Station.

Keywords

optical radar; remote sensing by laser beam; sensor fusion; ABG mapping; Daxinganling campaign; ENVISAT MERIS data; ICESat GLAS data; MODIS data; Northeastern China; airborne Lidar data; multisensor fusion; spaceborne data; temperate forest aboveground biomass estimation; Biological system modeling; Biomass; Carbon; Estimation; Laser radar; Lasers; Remote sensing; aboveground biomass; lidar; multi-sensor fusion; temperate forest;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6721329

Filename

6721329