Study on the Influence of Land Use Change on Carbon Emissions Using System Modeling under the Framework of Dual Carbon Goals

Pingli Zhang; Zhengyu Yang; Qianqian Ma; Jingjing Huang; Jia Jia; Hongchao Li; Hongfei Liu

doi:10.4108/ew.5717

Authors

Pingli Zhang Department of Land Information and Management, Henan College of Surveying and Mapping, zhengzhou, 450015, China
Zhengyu Yang Department of Land Information and Management, Henan College of Surveying and Mapping, zhengzhou, 450015, China
Qianqian Ma Department of Land Information and Management, Henan College of Surveying and Mapping, zhengzhou, 450015, China
Jingjing Huang Department of Land Information and Management, Henan College of Surveying and Mapping, zhengzhou, 450015, China
Jia Jia Department of Land Information and Management, Henan College of Surveying and Mapping, zhengzhou, 450015, China
Hongchao Li Department of Land Information and Management, Henan College of Surveying and Mapping, zhengzhou, 450015, China
Hongfei Liu Department of Land Information and Management, Henan College of Surveying and Mapping, zhengzhou, 450015, China

DOI:

https://doi.org/10.4108/ew.5717

Keywords:

Land use change, Carbon emissions, System modeling, Dual carbon goals, Environmental policy, Sustainable Development

Abstract

At the crucial period of addressing climate change, especially to the carbonization of land use change, it is vital that relevant actions are taken to enable two ambitious dual-carbon goals, namely, ensuring that carbon emissions peak before 2030 and achieving carbon neutrality before 2060. This research investigates the impacts of land use changes on carbon emissions using a novel approach that integrates Light Detection and Ranging (LiDAR) with Geographic Information System (GIS). This approach is innovative due to its high quality three-dimensional representation to quantified exact carbon stock and forest emissions occurring due to specific land-use change. Therefore, through actual LiDAR, this research helps demarcate the pattern emitting different land-use measures, including deforestation, urban programs, agricultural differences, and forest and land changes, over historical change records and verified carbonization formulas. Similar qualitative levels between LiDAR and GIS analysis help determine the varying degrees of carbonization occurring due to enhanced deforestation, urban additions, and agricultural contributions while reporting the possible procedural carbons acquired during reforestation and other measurements. The results helped clarify that the most distinct level of land utilization shows the least level of carbon sent into the air. Therefore, the implication is that strategic land use measures and better working conditions can curb carbon indications. These signals support land-use policy and preparedness goals in a low carbon level. This study creates valuable records for the land utilization and cartograph, created through the power of LiDAR and GIS analysis.