Quantifying spatial-temporal changes of aboveground carbon stocks using Landsat time series data: A case study of Miombo woodlands

被引:3
作者
Lembani R. [1 ]
Knight J. [2 ]
Adam E. [2 ]
Kalaba F.K. [1 ,3 ]
机构
[1] Copperbelt University, Kitwe
[2] School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg
[3] School of Natural Resources, Copperbelt University, Kitwe
关键词
Aboveground; biomass; carbon; Landsat; Miombo; stocks;
D O I
10.1080/00207233.2019.1698870
中图分类号
学科分类号
摘要
There is a need for accurate reporting of the second-growth forest in accounting for the contribution of secondary forests to achieving global carbon sequestration strategies. This study develops a model relating aboveground live biomass (AGLB) to Landsat reflectance measurements, and this method is used on multi spatial-temporal Landsat data (1998, 2001, 2004, 2011 and 2016) to assess changes in Miombo woodlands in Zambia. Results showed that the enhanced vegetation index was a better predictor of AGLB (r2 = 0.96; RMSE = 0.24 t ha−1) than the other assessed vegetation indices. Forest carbon stocks increased by an average rate of 3.65 ± standard error (SE): 0.56 t ha−1 yr−1 from 1998 to 2001, but a continual decline was evident for the periods 2001–2004 (−0.60 t ha−1 yr−1), 2004–2011 (−0.88 t ha−1 yr−1) and 2011–2016 (−2.03 t ha−1 yr−1). The study provides an empirical model for evaluating carbon stock changes. © 2019 Informa UK Limited, trading as Taylor & Francis Group.
引用
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页码:581 / 601
页数:20
相关论文
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