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

被引：293

作者：

Baccini, A. ^{[1
]}

Laporte, N. ^{[1
]}

Goetz, S. J. ^{[1
]}

Sun, M. ^{[1
]}

Dong, H. ^{[2
]}

机构：

[1] Woods Hole Res Ctr, Falmouth, MA 02540 USA

[2] Brookhaven Natl Lab, Div Atmospher Sci, Upton, NY 11973 USA

来源：

ENVIRONMENTAL RESEARCH LETTERS | 2008年 / 3卷 / 04期

关键词：

biomass; carbon; MODIS; lidar; GLAS; regression tree; Random Forest; REDD;

D O I：

10.1088/1748-9326/3/4/045011

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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 (R-2 = 0.90) between the GLAS height metrics and predicted AGB.

引用

页数：9

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