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iForest - Biogeosciences and Forestry

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Estimating biomass and carbon sequestration of plantations around industrial areas using very high resolution stereo satellite imagery

Zahra Hosseini (1), Hamed Naghavi (1)   , Hooman Latifi (2-3), Siavash Bakhtiari Bakhtiarvand (4)

iForest - Biogeosciences and Forestry, Volume 12, Issue 6, Pages 533-541 (2019)
doi: https://doi.org/10.3832/ifor3155-012
Published: Dec 12, 2019 - Copyright © 2019 SISEF

Research Articles


Plantations established in highly-pollutant industrial areas have a crucial role to absorb greenhouse gases, particularly CO2. A thorough monitoring of their aboveground biomass and carbon balance is essential to ensure their beneficial effects. This can be operationally supported by using a combination of field and multispectral stereo remote sensing data to provide surface height information with high resolution and wide coverage. We estimated the fresh and dry aboveground biomass and the carbon sequestration from pairs of Pléiades satellite imagery of 25-year-old monoculture plantations of Pinus eldarica Medw., Cupressus arizonica Greene, Morus alba L. and Robinia pseudoacacia L., around the Mobarakeh Steel Complex near the megacity Isfahan. This complex is the largest-scale of its kind in semi-arid Iran. Tree heights were derived from a Canopy height model (CHM) at plantation management unit level. Parsimonious regression models were developed, and the accuracy was assessed by the coefficient of determination, bias and root mean square errors (RMSEs) at plot level. This resulted in R2 of total biomass, dry biomass, carbon sequestration, tree height and tree count of 0.90, 0.90, 0.91, 0.89, and 0.88, respectively. Moreover, mixed bias (with lowest value of -0.12 m for tree height) and NRMSE% (with lowest value of 5.93 % for tree carbon sequestration) values were obtained. The results demonstrated that pairs of stereo imageries can be effectively used for predicting forest biomass and carbon sequestration across semi-arid plantations, hence enabling a continuous monitoring of vegetation established around pollutant industrial areas.

  Keywords


Carbon Sequestration, Biomass, Plantation, Industrial Areas, VHR Stereo Images

Authors’ address

(1)
Zahra Hosseini
Hamed Naghavi 0000-0002-2734-2831
Department of Forestry, Faculty of Agricultural and Natural Resources, Lorestan University, Khorramabad (Iran)
(2)
Hooman Latifi 0000-0003-1054-889X
Department of Photogrammetry and Remote Sensing, K.N. Toosi University of Technology, No. 1346, Valiasr Str., Mirdamad crossing, Postal Code: 19967-15433 Tehran (Iran)
(3)
Hooman Latifi 0000-0003-1054-889X
Dept. of Remote Sensing, University of Wuerzburg, Campus Hubland Nord.86, D-97074 Wuerzburg (Germany)
(4)
Siavash Bakhtiari Bakhtiarvand
Department of Forestry, Faculty of Natural Resources and Earth Science, University of Shahrekord (Iran)

Corresponding author

 
Hamed Naghavi
naghavi.ha@lu.ac.ir

Citation

Hosseini Z, Naghavi H, Latifi H, Bakhtiari Bakhtiarvand S (2019). Estimating biomass and carbon sequestration of plantations around industrial areas using very high resolution stereo satellite imagery. iForest 12: 533-541. - doi: 10.3832/ifor3155-012

Academic Editor

Alessio Collalti

Paper history

Received: May 26, 2019
Accepted: Sep 17, 2019

First online: Dec 12, 2019
Publication Date: Dec 31, 2019
Publication Time: 2.87 months

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