Mapping the spatial distribution of stand age and aboveground biomass from Landsat time series analyses of forest cover loss in tropical dry forests

Spatial information on the timing of forest cover loss is important to identify and map stand age, which is a key factor driving the recovery of carbon pools and can also be used to estimate aboveground biomass (AGB) based on its relationship with stand age. Here, we estimated the spatial distributi...

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Veröffentlicht in:	Remote sensing in ecology and conservation 2022-06, Vol.8 (3), p.347-361
Hauptverfasser:	George‐Chacón, Stephanie P., Mas, Jean François, Dupuy, Juan Manuel, Castillo‐Santiago, Miguel Angel, Hernández‐Stefanoni, José Luis, Disney, Mat, Clerici, Nicola
Format:	Artikel
Sprache:	eng
Schlagworte:	aboveground biomass estimation Age Age composition Algorithms Archives & records Biomass Carbon sequestration Coniferous forests Deciduous forests Deforestation Dry forests forest cover change detection Forests Landsat NDVI time series Normalized difference vegetative index Remote sensing Spatial data Spatial distribution Time series Trends Tropical forests Vegetation young forest
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Beschreibung
Zusammenfassung:	Spatial information on the timing of forest cover loss is important to identify and map stand age, which is a key factor driving the recovery of carbon pools and can also be used to estimate aboveground biomass (AGB) based on its relationship with stand age. Here, we estimated the spatial distribution of stand age and AGB of young forest (
ISSN:	2056-3485 2056-3485
DOI:	10.1002/rse2.247