气候变化领域集成服务门户(CCPortal): Above Ground Biomass Mapping of Tropical Forest of Tripura Using EOS-04 and ALOS-2 PALSAR-2 SAR Data

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DOI	10.1007/s12524-024-01838-w
	Above Ground Biomass Mapping of Tropical Forest of Tripura Using EOS-04 and ALOS-2 PALSAR-2 SAR Data
	Bhavsar, Dhruval; Das, Anup Kumar; Chakraborty, Kasturi; Patnaik, Chakrapani; Sarma, K. K.; Aggrawal, S. P.
发表日期	2024
ISSN	0255-660X
EISSN	0974-3006
起始页码	52
结束页码	4
卷号	52 期号:4
英文摘要	Above Ground Biomass (AGB) is a vital factor in the forest ecosystem, closely linked to the carbon cycle and global climate change. Synthetic Aperture Radar (SAR) remote sensing is a potent tool for AGB quantification, due to its ability to penetrate vegetation canopies and its reliability for all-weather forest mapping and monitoring. The study used HH/HV dual-polarization SAR data from EOS-04 (C) and ALOS-2 PALSAR-2 (L) satellites to estimate AGB. Multiple linear regression-based statistics model was developed for AGB prediction by considering the best suited frequency and polarisation data for different forest density classes in the study area. The results revealed a strong correlation between AGB and HV backscatter from both the frequencies. The combined HV backscatter from both the sensors showed improvement in the goodness-of-fit (R2 > 0.5) with reduced error for all the forest density classes. The model estimated AGB was validated with the ground estimated AGB over 80 number of forest inventory plots (0.1 ha), and the overall root-mean-squared error corresponding to the estimated AGB was 32.02 Mg/ha. The model predicted versus ground estimated AGB showed a high correlation upto AGB density of 120 Mg/ha, beyond which underestimation was observed due to saturation of SAR backscatter at higher AGB density values. The AGB in the study ranged from about 10 to 200 Mg/ha. From the results, it was observed that the use of multi-frequency SAR data can be helpful in reducing error with consideration of forest categorisation in the AGB prediction model.
英文关键词	Above Ground Biomass (AGB); Multi-frequency SAR; EOS-04; ALOS-2 PALSAR-2; Tropical forest
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
WOS类目	Environmental Sciences ; Remote Sensing
WOS记录号	WOS:001175284100001
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/301620
作者单位	Department of Space (DoS), Government of India; North Eastern Space Applications Centre (NESAC); Department of Space (DoS), Government of India; Indian Space Research Organisation (ISRO); Space Applications Centre (SAC)
推荐引用方式 GB/T 7714	Bhavsar, Dhruval,Das, Anup Kumar,Chakraborty, Kasturi,et al. Above Ground Biomass Mapping of Tropical Forest of Tripura Using EOS-04 and ALOS-2 PALSAR-2 SAR Data[J],2024,52(4).
APA	Bhavsar, Dhruval,Das, Anup Kumar,Chakraborty, Kasturi,Patnaik, Chakrapani,Sarma, K. K.,&Aggrawal, S. P..(2024).Above Ground Biomass Mapping of Tropical Forest of Tripura Using EOS-04 and ALOS-2 PALSAR-2 SAR Data.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,52(4).
MLA	Bhavsar, Dhruval,et al."Above Ground Biomass Mapping of Tropical Forest of Tripura Using EOS-04 and ALOS-2 PALSAR-2 SAR Data".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 52.4(2024).