气候变化领域集成服务门户(CCPortal): Estimation of Aboveground Biomass for Different Forest Types Using Data from Sentinel-1, Sentinel-2, ALOS PALSAR-2, and GEDI

CCPortal

DOI	10.3390/f15010215
	Estimation of Aboveground Biomass for Different Forest Types Using Data from Sentinel-1, Sentinel-2, ALOS PALSAR-2, and GEDI
	Wang, Chu; Zhang, Wangfei; Ji, Yongjie; Marino, Armando; Li, Chunmei; Wang, Lu; Zhao, Han; Wang, Mengjin
发表日期	2024
EISSN	1999-4907
起始页码	15
结束页码	1
卷号	15 期号:1
英文摘要	Forest aboveground biomass (AGB) is integral to the global carbon cycle and climate change study. Local and regional AGB mapping is crucial for understanding global carbon stock dynamics. NASA's global ecosystem dynamics investigation (GEDI) and combination of multi-source optical and synthetic aperture radar (SAR) datasets have great potential for local and regional AGB estimation and mapping. In this study, GEDI L4A AGB data and ground sample plots worked as true AGB values to explore their difference for estimating forest AGB using Sentinel-1 (S1), Sentinel-2 (S2), and ALOS PALSAR-2 (PALSAR) data, individually and in their different combinations. The effects of forest types and different true AGB values for validation were investigated in this study, as well. The combination of S1 and S2 performed best in forest AGB estimation with R2 ranging from 0.79 to 0.84 and RMSE ranging from 7.97 to 29.42 Mg/ha, with the ground sample plots used as ground truth data. While for GEDI L4A AGB product working as reference, R2 values range from 0.36 to 0.47 and RMSE values range from 31.41 to 37.50 Mg/ha. The difference between using GEDI L4A and ground sample plot as reference shows obvious dependence on forest types. In summary, optical dataset and its combination with SAR performed better in forest AGB estimation when the average AGB is less than 150 Mg/ha. The AGB predictions from GEDI L4A AGB product used as reference underperformed across the different forest types and study sites. However, GEDI can work as ground truth data source for forest AGB estimation in a certain level of estimation accuracy.
英文关键词	GEDI L4A AGB product; optical datasets; SAR datasets; ground sample plots; AGB estimation; RF
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:001149310700001
来源期刊	FORESTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303468
作者单位	Southwest Forestry University - China; Southwest Forestry University - China; University of Stirling
推荐引用方式 GB/T 7714	Wang, Chu,Zhang, Wangfei,Ji, Yongjie,et al. Estimation of Aboveground Biomass for Different Forest Types Using Data from Sentinel-1, Sentinel-2, ALOS PALSAR-2, and GEDI[J],2024,15(1).
APA	Wang, Chu.,Zhang, Wangfei.,Ji, Yongjie.,Marino, Armando.,Li, Chunmei.,...&Wang, Mengjin.(2024).Estimation of Aboveground Biomass for Different Forest Types Using Data from Sentinel-1, Sentinel-2, ALOS PALSAR-2, and GEDI.FORESTS,15(1).
MLA	Wang, Chu,et al."Estimation of Aboveground Biomass for Different Forest Types Using Data from Sentinel-1, Sentinel-2, ALOS PALSAR-2, and GEDI".FORESTS 15.1(2024).