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| Satellite Imagery-based Greenhouse Gas Emission Accounting Model at the Factory Scale: A Case Study of Pulp and Paper Enterprises |
| Received:November 26, 2024 |
| DOI：10.11980/j.issn.0254-508X.2025.02.008 |
| Key Words:satellite imagery machine learning factory scale greenhouse gas emission pulp and paper enterprises |
| Fund Project:制浆造纸工程国家重点实验室开放基金资助项目（202419）。 |
| Author Name | Affiliation | Postcode | | HU Song | State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 | 510640 | | LI Jigeng | State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 | 510640 | | HONG Mengna | State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 | 510640 | | HAN Yulin* | State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 | 510640 |
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| Abstract:Taking the pulp and paper enterprises as examples， this study constructed a greenhouse gas emission accounting model at the factory scale that integrated satellite images and machine learning methods. Firstly， pulp and paper enterprises were divided into four categories， namely， virgin fiber pulping enterprises， high basis weight papers enterprises， low basis weight papers enterprises， and specialty paper enterprises through satellite images. Then， the Lasso algorithm was adopted to fit the plant area with carbon emissions， and the R² of the four different types of enterprises were all above 0.74. The carbon emission accounting model was used to conduct greenhouse gas emission accounting at the factory scale for the 112 paper enterprises in the list of key emission units in China. The results showed that there were significant differences in greenhouse gas emissions among the 112 key emission units in the paper industry. The minimum emission was 44 500 t CO₂eq， and the maximum emission reached 4 260 100 t CO₂eq. This method also provided a new idea for carbon emission accounting at the factory scale. |
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