Assessing multi-temporal Landsat 7 ETM+ images for estimating above-ground biomass in subtropical dry forests of Argentina

Above-ground biomass (AGB) is important to estimate total carbon pools in forests, where it has a key role in the global carbon cycle. We assessed correlations between spectral information and ground data to estimate AGB in the Semiarid Chaco, Argentina. Ground data (DBH, height and species of trees...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Gasparri, N.I., Parmuchi, M.G., Bono, J., Karszenbaum, H., Montenegro, C.L.
Formato: JOUR
Materias:
Above-ground biomass
Chaco
Dry forest
Regression model
Remote sensing
Vegetation index
aboveground biomass
carbon cycle
correlation
data set
dry forest
ground-based measurement
height determination
image analysis
land use
Landsat
phenology
regression analysis
remote sensing
seasonality
vegetation index
vegetation mapping
Argentina
Chaco [Argentina]
Poaceae
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01401963_v74_n10_p1262_Gasparri
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

Ejemplares similares

Ejemplares similares