A biomass map of the Brazilian Amazon from multisource remote sensing.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
30 09 2023
30 09 2023
Historique:
received:
29
03
2023
accepted:
15
09
2023
medline:
4
10
2023
pubmed:
1
10
2023
entrez:
30
9
2023
Statut:
epublish
Résumé
The Amazon Forest, the largest contiguous tropical forest in the world, stores a significant fraction of the carbon on land. Changes in climate and land use affect total carbon stocks, making it critical to continuously update and revise the best estimates for the region, particularly considering changes in forest dynamics. Forest inventory data cover only a tiny fraction of the Amazon region, and the coverage is not sufficient to ensure reliable data interpolation and validation. This paper presents a new forest above-ground biomass map for the Brazilian Amazon and the associated uncertainty both with a resolution of 250 meters and baseline for the satellite dataset the year of 2016 (i.e., the year of the satellite observation). A significant increase in data availability from forest inventories and remote sensing has enabled progress towards high-resolution biomass estimates. This work uses the largest airborne LiDAR database ever collected in the Amazon, mapping 360,000 km
Identifiants
pubmed: 37777552
doi: 10.1038/s41597-023-02575-4
pii: 10.1038/s41597-023-02575-4
pmc: PMC10542791
doi:
Substances chimiques
Carbon
7440-44-0
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
668Informations de copyright
© 2023. Springer Nature Limited.
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