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
来源：
International Journal of Environmental Studies | 2020年 / 77卷 / 04期
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.
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页码：581 / 601
页数：20
相关论文
共 67 条
  • [61] Tucker C.J., Red and photographic infrared linear combinations for monitoring vegetation, Remote Sensing of Environment, 8, pp. 127-150, (1979)
  • [62] Rouse J.W., Haas R.H., Schell J.A., Deering D.W., Monitoring vegetation systems in the Great Plains with ERTS, Presented at the 3rd ERTS Symposium, NASA, (1974)
  • [63] Huete A.R., Didan K., Miura T., Rodriguez E.P., Gao X., Ferreira L.G., Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 83, 1, pp. 195-213, (2002)
  • [64] Huete A.R., A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25, 3, pp. 295-309, (1988)
  • [65] Grossman J.M., Carbon in terrestrial systems: A review of the science with specific reference to central american ecotypes and locations, Journal of Sustainable Forestry, 25, 1-2, pp. 17-41, (2007)
  • [66] Martin A.R., Thomas S.C., A reassessment of carbon content in tropical trees, PLoS One, 6, 8, (2011)
  • [67] Thomas S.C., Martin A.R., Carbon content of tree tissues: A synthesis, Forests, 3, 4, pp. 332-352, (2012)
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