Santoro, Maurizio

5 items:

Carbon stock and density of northern boreal and temperate forests Aim To infer a forest carbon density map at 0.01° resolution from a radar remote sensing product for the estimation of carbon stocks in Northern Hemisphere boreal and temperate forests. Location The study area extends from 30°?N to 80°?N, covering three forest biomes ? temperate broadleaf and mixed forests (TBMF), temperate conifer forests (TCF) and boreal forests (BFT) ? over three continents (North America, Europe and Asia). Methods This study is based on a recently available growing stock volume (GSV) product retrieved from synthetic aperture radar data. Forest biomass and spatially explicit uncertainty estimates were derived from the GSV using existing databases of wood density and allometric relationships between... Categories: Publication; Types: Citation; Tags: B4-Ecological Land Classification Scheme
Carbon stock and density of northern boreal and temperate forests Aim To infer a forest carbon density map at 0.01° resolution from a radar remote sensing product for the estimation of carbon stocks in Northern Hemisphere boreal and temperate forests. Location The study area extends from 30°?N to 80°?N, covering three forest biomes ? temperate broadleaf and mixed forests (TBMF), temperate conifer forests (TCF) and boreal forests (BFT) ? over three continents (North America, Europe and Asia). Methods This study is based on a recently available growing stock volume (GSV) product retrieved from synthetic aperture radar data. Forest biomass and spatially explicit uncertainty estimates were derived from the GSV using existing databases of wood density and allometric relationships between... Categories: Data, Publication; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Baseline 4-Ecological Land Classification Scheme
Carbon stock and density of northern boreal and temperate forests Aim To infer a forest carbon density map at 0.01° resolution from a radar remote sensing product for the estimation of carbon stocks in Northern Hemisphere boreal and temperate forests. Location The study area extends from 30°?N to 80°?N, covering three forest biomes ? temperate broadleaf and mixed forests (TBMF), temperate conifer forests (TCF) and boreal forests (BFT) ? over three continents (North America, Europe and Asia). Methods This study is based on a recently available growing stock volume (GSV) product retrieved from synthetic aperture radar data. Forest biomass and spatially explicit uncertainty estimates were derived from the GSV using existing databases of wood density and allometric relationships between... Categories: Publication; Types: Citation; Tags: B4-Ecological Land Classification Scheme
Carbon stock and density of northern boreal and temperate forests Aim To infer a forest carbon density map at 0.01° resolution from a radar remote sensing product for the estimation of carbon stocks in Northern Hemisphere boreal and temperate forests. Location The study area extends from 30°?N to 80°?N, covering three forest biomes ? temperate broadleaf and mixed forests (TBMF), temperate conifer forests (TCF) and boreal forests (BFT) ? over three continents (North America, Europe and Asia). Methods This study is based on a recently available growing stock volume (GSV) product retrieved from synthetic aperture radar data. Forest biomass and spatially explicit uncertainty estimates were derived from the GSV using existing databases of wood density and allometric relationships between... Categories: Publication; Types: Citation; Tags: Baseline 4-Ecological Land Classification Scheme
Carbon stock and density of northern boreal and temperate forests Aim To infer a forest carbon density map at 0.01° resolution from a radar remote sensing product for the estimation of carbon stocks in Northern Hemisphere boreal and temperate forests. Location The study area extends from 30°?N to 80°?N, covering three forest biomes ? temperate broadleaf and mixed forests (TBMF), temperate conifer forests (TCF) and boreal forests (BFT) ? over three continents (North America, Europe and Asia). Methods This study is based on a recently available growing stock volume (GSV) product retrieved from synthetic aperture radar data. Forest biomass and spatially explicit uncertainty estimates were derived from the GSV using existing databases of wood density and allometric relationships between... Categories: Publication; Types: Citation; Tags: B4-Ecological Land Classification Scheme

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