气候变化领域集成服务门户(CCPortal): FOREST VERTICAL STRUCTURE PARAMETERS EXTRACTION FROM AIRBORNE X-BAND INSAR DATA

CCPortal

DOI	10.1109/IGARSS.2016.7729031
	FOREST VERTICAL STRUCTURE PARAMETERS EXTRACTION FROM AIRBORNE X-BAND INSAR DATA
	Feng, Qi; Chen, Erxue; Li, Zengyuan; Li, Lan; Zhao, Lei
发表日期	2016
ISSN	2153-6996
英文摘要	Two extraction models applied in estimating forest height and above-ground biomass (AGB) were developed using the X-band Interferometric Synthetic Aperture Radar (InSAR) data, which was acquired from the China airborne SAR system in 2013 covering part of forested area in northeast China. The models using multi-passes InSAR data for the estimations of forest height and AGB were introduced respectively with detailed ground true data derived from both forest plot data and airborne Light Detection And Ranging (LiDAR) data. The estimation results indicated that it is feasible to estimate forest height using X-band InSAR data without the external DEM. Moreover, the model using multi-passes InSAR data could descript the forest structure characteristics and can be used to estimate forest AGB faithfully.
关键词	Forest vertical structure Airborne X-band InSAR
学科领域	Engineering; Geology; Remote Sensing
语种	英语
WOS研究方向	Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing
来源期刊	2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/111887
作者单位	Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Feng, Qi,Chen, Erxue,Li, Zengyuan,et al. FOREST VERTICAL STRUCTURE PARAMETERS EXTRACTION FROM AIRBORNE X-BAND INSAR DATA[J]. 中国科学院西北生态环境资源研究院,2016.
APA	Feng, Qi,Chen, Erxue,Li, Zengyuan,Li, Lan,&Zhao, Lei.(2016).FOREST VERTICAL STRUCTURE PARAMETERS EXTRACTION FROM AIRBORNE X-BAND INSAR DATA.2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS).
MLA	Feng, Qi,et al."FOREST VERTICAL STRUCTURE PARAMETERS EXTRACTION FROM AIRBORNE X-BAND INSAR DATA".2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2016).