A first map of tropical Africa’s above-ground biomass derived from satellite imagery Export

@article{citeulike:5877627, abstract = {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 50.5 Mg ha[?]1 for a range of biomass between 0 and 454 Mg ha[?]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.}, author = {Baccini, A. and Laporte, N. and Goetz, S. J. and Sun, M. and Dong, H.}, citeulike-article-id = {5877627}, citeulike-linkout-0 = {http://dx.doi.org/10.1088/1748-9326/3/4/045011}, doi = {10.1088/1748-9326/3/4/045011}, journal = {Environmental Research Letters}, keywords = {africa, biomass, carbon, lidar, modis, redd}, number = {4}, pages = {045011+}, posted-at = {2009-10-06 12:14:41}, priority = {2}, title = {A first map of tropical Africa\’s above-ground biomass derived from satellite imagery}, url = {http://dx.doi.org/10.1088/1748-9326/3/4/045011}, volume = {3}, year = {2008} }

TY - JOUR ID - citeulike:5877627 L3 - citeulike-article-id:5877627 N2 - 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 50.5 Mg ha[?]1 for a range of biomass between 0 and 454 Mg ha[?]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. IS - 4 JF - Environmental Research Letters TI - A first map of tropical Africa’s above-ground biomass derived from satellite imagery VL - 3 SP - 045011 KW - africa KW - biomass KW - carbon KW - lidar KW - modis KW - redd AU - Baccini, A AU - Laporte, N AU - Goetz, SJ AU - Sun, M AU - Dong, H PY - 2008/// UR - http://dx.doi.org/10.1088/1748-9326/3/4/045011 ER -