气候变化领域集成服务门户(CCPortal): Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests

CCPortal

DOI	10.1080/22797254.2024.2315413
	Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests
	Guerra-Hernandez, Juan; Pascual, Adrian; Tupinamba-Simoes, Frederico; Godinho, Sergio; Botequim, Brigite; Jurado-Varela, Alfonso; Sandoval-Altelarrea, Vicente
发表日期	2024
EISSN	2279-7254
起始页码	57
结束页码	1
卷号	57 期号:1
英文摘要	New remote-sensed biomass change products will transform our capacity to monitor and validate large-scale carbon dynamic in the next decade. In this study, we evaluated the use of multitemporal Airborne Laser Scanning (ALS) and the Climate Change Initiative (CCI) BIOMASS spaceborne mission to estimate AGB dynamics in different Mediterranean forest over an 8-year period (2010-2018). To do so, we evaluated different maps to estimate change in AGB, specifically indirect approach using forest-type specific ALS-based AGB maps using i) countrywide ALS coverage at 25 m resolution (2010-2018) and ii) the global, 100-m resolution CCI maps version 3 (2010-2018). The change in AGB (Delta AGB) was mapped across the study region to compute dynamics by forest type. Our results suggest that the indirect approach using ALS-model-based produced more accurate estimates in change of AGB than CCI when we compared with the design-based AGB estimation using Spanish National Forest Inventory (SNFI) at strata level. The spatial representation of the AGB change indicated that Delta AGB-ALS changes by forest type had an overall gain in biomass at regional level. The Delta AGB total and net annual changes by year and area (Delta AGB, Mg ha-1 year-1) were closed to the values obtained using SNFI at strata level. This study demonstrates the feasibility of enhancing carbon sequestration and stock capacity in Mediterranean forest using multitemporal ALS data and the limitations of global AGB maps at Regional Scale.
英文关键词	LiDAR; CCI biomass mission; forest monitoring; biomass stocks; Spanish National Forest Inventory (SNFI); carbon sequestration
语种	英语
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS记录号	WOS:001164028500001
来源期刊	EUROPEAN JOURNAL OF REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300230
作者单位	Universidade de Lisboa; Forest Research Centre; University System of Maryland; University of Maryland College Park; Universidad de Valladolid; University of Evora; University of Evora; Universitat d'Alacant; Universidade de Lisboa; Forest Research Centre
推荐引用方式 GB/T 7714	Guerra-Hernandez, Juan,Pascual, Adrian,Tupinamba-Simoes, Frederico,et al. Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests[J],2024,57(1).
APA	Guerra-Hernandez, Juan.,Pascual, Adrian.,Tupinamba-Simoes, Frederico.,Godinho, Sergio.,Botequim, Brigite.,...&Sandoval-Altelarrea, Vicente.(2024).Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests.EUROPEAN JOURNAL OF REMOTE SENSING,57(1).
MLA	Guerra-Hernandez, Juan,et al."Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests".EUROPEAN JOURNAL OF REMOTE SENSING 57.1(2024).