气候变化领域集成服务门户(CCPortal): Regression-Based Integrated Bi-sensor SAR Data Model to Estimate Forest Carbon Stock

CCPortal

DOI	10.1007/s12524-019-01004-7
	Regression-Based Integrated Bi-sensor SAR Data Model to Estimate Forest Carbon Stock
	Sinha, Suman; Santra, A.; Das, A. K.; Sharma, L. K.; Mohan, Shiv; Nathawat, M. S.; Mitra, S. Santra; Jeganathan, C.
发表日期	2019-09-01
ISSN	0255-660X
EISSN	0974-3006
卷号	47 期号:9 页码:1599-1608
英文摘要	The objective of this study is to estimate the forest aboveground carbon (AGC) stock using integrated space-borne synthetic aperture radar (SAR) data from COSMO-Skymed (X band) and ALOS PALSAR (L band) with field inventory over a tropical deciduous mixed
关键词	Aboveground carbon ALOS PALSAR Backscatter COSMO-Skymed Regression
学科领域	Environmental Sciences;Remote Sensing
语种	英语
WOS记录号	WOS:000484616300014
来源期刊	JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/83389
作者单位	Haldia Inst Technol, Dept Civil Engn, Hatiberia 721657, Haldia, India
推荐引用方式 GB/T 7714	Sinha, Suman,Santra, A.,Das, A. K.,et al. Regression-Based Integrated Bi-sensor SAR Data Model to Estimate Forest Carbon Stock[J],2019,47(9):1599-1608.
APA	Sinha, Suman.,Santra, A..,Das, A. K..,Sharma, L. K..,Mohan, Shiv.,...&Jeganathan, C..(2019).Regression-Based Integrated Bi-sensor SAR Data Model to Estimate Forest Carbon Stock.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,47(9),1599-1608.
MLA	Sinha, Suman,et al."Regression-Based Integrated Bi-sensor SAR Data Model to Estimate Forest Carbon Stock".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 47.9(2019):1599-1608.