Open AccessModeling Spatial Distribution of Carbon Sequestration, CO 2 Absorption, and O 2 Production in an Urban Area: Integrating Ground‐Based Data, Remote Sensing Technique, and GWR Model
Author(s) -
Khodakarami Loghman,
Pourmanafi Saeid,
Soffianian Ali Reza,
Lotfi Ali
Publication year - 2022
Publication title -
earth and space science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.843
H-Index - 23
ISSN - 2333-5084
DOI - 10.1029/2022ea002261
Subject(s) - carbon sequestration , environmental science , carbon fibers , spatial distribution , biomass (ecology) , absorption (acoustics) , hydrology (agriculture) , soil science , remote sensing , carbon dioxide , geography , mathematics , ecology , geology , materials science , algorithm , geotechnical engineering , composite number , composite material , biology
The main purpose of this research is to model the spatial distribution of carbon sequestration, CO 2 absorption, and oxygen production by trees within Isfahan city, Iran, in 2020. To quantify carbon sequestration, we accessed a sample group of trees with measured biophysical attributes. First, we calculated the biomass and carbon sequestration of a tree using the allometric and photosynthesis equations. Then, to model the spatial distribution of carbon sequestration, we used geographic weighted regression (GWR) method. In this model, the amount of calculated carbon sequestration was the dependent variable, whereas the difference between vegetation indexes of Excess Green Plant Index minus Excess Red Plant Index (ΔExGR) from the Worldview image was the independent variable. Subsequently, the spatial distribution map of CO 2 absorption and oxygen production was generated. The total value of annual carbon sequestration, CO 2 absorption, and O 2 production was about 7704.22, 28274.502, and 20570.16 tons, respectively. The results showed that there was a strong correlation between the ΔExGR index of the canopy with calculated carbon. Integrating the ΔExGR index from a high‐resolution image with calculated carbon can contribute to developing a fast, accurate, and low‐cost method in estimating carbon sequestration and modeling its spatial distribution in urban areas. In conclusion, the results of this research can be implemented by land‐use planners to integrate urban ecosystem service concept (i.e., carbon sequestration) in planning process toward sustainability of the cities.