Estimation and analysis of carbon storage in Wuhan based on multi-source data fusion

Sixian Qin; Dandan Liu; Bo Tan; Siyi Tian

doi:10.1117/12.3010676

15 November 2023 Estimation and analysis of carbon storage in Wuhan based on multi-source data fusion

Sixian Qin, Dandan Liu, Bo Tan, Siyi Tian

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 1281504 (2023) https://doi.org/10.1117/12.3010676
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

Cities are primarily responsible for carbon dioxide peak and carbon neutrality. Understanding the carbon sequestration capacity within cities is a basic requirement for implementing the dual-carbon strategy. In this work, based on data from the Annual Land Use Change Investigation, we comprehensively used data from various sources to estimate carbon stock at patches scale in Wuhan, Hubei province, including Geographic National Conditions Monitoring, forest resource survey, wetland investigation, and soil survey. The spatial distribution characteristics of carbon stock were analyzed from two aspects: biomass carbon storage and soil carbon storage. And the relationships between different types of land use and carbon stock were also revealed in this work.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sixian Qin, Dandan Liu, Bo Tan, and Siyi Tian "Estimation and analysis of carbon storage in Wuhan based on multi-source data fusion", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 1281504 (15 November 2023); https://doi.org/10.1117/12.3010676

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