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A first map of tropical Africa's above-ground biomass derived from satellite imagery
by
Sun, M
, Goetz, S J
, Baccini, A
, Laporte, N
, Dong, H
in
Africa
/ Altimetry
/ Biomass
/ Lasers
/ Lidar
/ MODIS
/ mosaics
/ Q1
/ Q3
/ Regression analysis
/ Regression models
/ Remote sensing
/ Satellite imagery
/ Satellite observation
/ Satellites
/ Spectroradiometers
/ Vegetation
2008
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A first map of tropical Africa's above-ground biomass derived from satellite imagery
by
Sun, M
, Goetz, S J
, Baccini, A
, Laporte, N
, Dong, H
in
Africa
/ Altimetry
/ Biomass
/ Lasers
/ Lidar
/ MODIS
/ mosaics
/ Q1
/ Q3
/ Regression analysis
/ Regression models
/ Remote sensing
/ Satellite imagery
/ Satellite observation
/ Satellites
/ Spectroradiometers
/ Vegetation
2008
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A first map of tropical Africa's above-ground biomass derived from satellite imagery
by
Sun, M
, Goetz, S J
, Baccini, A
, Laporte, N
, Dong, H
in
Africa
/ Altimetry
/ Biomass
/ Lasers
/ Lidar
/ MODIS
/ mosaics
/ Q1
/ Q3
/ Regression analysis
/ Regression models
/ Remote sensing
/ Satellite imagery
/ Satellite observation
/ Satellites
/ Spectroradiometers
/ Vegetation
2008
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A first map of tropical Africa's above-ground biomass derived from satellite imagery
Journal Article
A first map of tropical Africa's above-ground biomass derived from satellite imagery
2008
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Overview
Observations from the moderate resolution imaging spectroradiometer (MODIS) were used in combination with a large data set of field measurements to map woody above-ground biomass (AGB) across tropical Africa. We generated a best-quality cloud-free mosaic of MODIS satellite reflectance observations for the period 2000–2003 and used a regression tree model to predict AGB at 1 km resolution. Results based on a cross-validation approach show that the model explained 82% of the variance in AGB, with a root mean square error of 50.5Mgha−1 for a range of biomass between 0 and 454Mgha−1. Analysis of lidar metrics from the Geoscience Laser Altimetry System (GLAS), which are sensitive to vegetation structure, indicate that the model successfully captured the regional distribution of AGB. The results showed a strong positive correlation (R2 = 0.90) between the GLAS height metrics and predicted AGB.
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