Hunka Neha, Duncanson Laura, Armston John, Dubayah Ralph, Healey Sean P, Santoro Maurizio, May Paul, Araza Arnan, Bourgoin Clement, Montesano Paul M, Neigh Christopher S R, Grantham Hedley, Potapov Peter, Turubanova Svetlana, Tyukavina Alexandra, Richter Jessica, Harris Nancy, Urbazaev Mikhail, Pascual Adrián, Suarez Daniela Requena, Herold Martin, Poulter Benjamin, Wilson Sylvia N, Grassi Giacomo, Federici Sandro, Sanz Maria J, Melo Joana
Department of Geographical Sciences, University of Maryland, 4600 River Road, Riverdale, 20737, Maryland, USA.
US Forest Service, Rocky Mountain Research Station, Riverdale, UT, 84405, USA.
Sci Data. 2024 Oct 14;11(1):1127. doi: 10.1038/s41597-024-03930-9.
Aboveground biomass density (AGBD) estimates from Earth Observation (EO) can be presented with the consistency standards mandated by United Nations Framework Convention on Climate Change (UNFCCC). This article delivers AGBD estimates, in the format of Intergovernmental Panel on Climate Change (IPCC) Tier 1 values for natural forests, sourced from National Aeronautics and Space Administration's (NASA's) Global Ecosystem Dynamics Investigation (GEDI) and Ice, Cloud and land Elevation Satellite (ICESat-2), and European Space Agency's (ESA's) Climate Change Initiative (CCI). It also provides the underlying classification used by the IPCC as geospatial layers, delineating global forests by ecozones, continents and status (primary, young (≤20 years) and old secondary (>20 years)). The approaches leverage complementary strengths of various EO-derived datasets that are compiled in an open-science framework through the Multi-mission Algorithm and Analysis Platform (MAAP). This transparency and flexibility enables the adoption of any new incoming datasets in the framework in the future. The EO-based AGBD estimates are expected to be an independent contribution to the IPCC Emission Factors Database in support of UNFCCC processes, and the forest classification expected to support the generation of other policy-relevant datasets while reflecting ongoing shifts in global forests with climate change.
利用地球观测（EO）得出的地上生物量密度（AGBD）估算值可按照《联合国气候变化框架公约》（UNFCCC）规定的一致性标准呈现。本文提供了AGBD估算值，采用政府间气候变化专门委员会（IPCC）一级天然林数值的格式，数据来源包括美国国家航空航天局（NASA）的全球生态系统动力学调查（GEDI）和冰、云和陆地高程卫星（ICESat-2），以及欧洲航天局（ESA）的气候变化倡议（CCI）。文章还提供了IPCC用作地理空间图层的基础分类，按生态区、大陆和状态（原生林、幼龄林（≤20年）和老龄次生林（>20年））对全球森林进行了划分。这些方法利用了通过多任务算法和分析平台（MAAP）在开放科学框架中汇编的各种源自地球观测数据集的互补优势。这种透明度和灵活性使未来能够在该框架中采用任何新的传入数据集。预计基于地球观测的AGBD估算值将为IPCC排放因子数据库提供独立贡献，以支持UNFCCC进程，而森林分类预计将支持生成其他与政策相关的数据集，同时反映全球森林随气候变化的持续变化。
