Study on Inversion and Spatiotemporal Variation of Soil Organic Matter in Northeast China Based on MODIS Data

Chuheng Jin; Yan Wang; Rui Feng; Ruipeng Ji; Jinwen Wu; Wenying Yu; Lele Hua

doi:10.2991/978-94-6463-708-3_56

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Study on Inversion and Spatiotemporal Variation of Soil Organic Matter in Northeast China Based on MODIS Data

Authors

Chuheng Jin¹^{, 2}, Yan Wang², Rui Feng¹^{, 3}^{, *}, Ruipeng Ji³^{, 4}, Jinwen Wu¹^{, 3}, Wenying Yu¹^{, 3}, Lele Hua¹^{, 2}

¹Institute of Atmospheric Environment, China Meteorological Administration, Shenyang, Liaoning, 110166, China

²School of Transportation and Geomatics Engineering, Shenyang Jianzhu University, Shenyang, Liaoning, 110168, China

³Key Laboratory of Agro-Meteorological Disasters, Shenyang, Liaoning, 110166, China

⁴Liaoning Ecological Meteorology and Satellite Remote Sensing Center, Shenyang, Liaoning, 110166, China

^*Corresponding author. Email: fengrui_k@126.com

Corresponding Author

Rui Feng

Available Online 9 May 2025.

DOI: 10.2991/978-94-6463-708-3_56 How to use a DOI?
Keywords: Soil Organic Matter; Northeast Region; Machine Learning
Abstract: This study focused on the Northeast China as the research area, utilizing MODIS data and the XGBoost model to invert soil organic matter content from 2000 to 2024. The inversion results were analyzed for spatiotemporal variation characteristics, in conjunction with the soil nutrient grading standards from the second national soil census in China. The results indicate that the proportion of soil with a rich organic matter grade was the highest, accounting for 52% to 60% of the total, followed by the relatively rich grade, which accounted for 24% to 36%. The proportion of soil with an adequate grade significantly decreased, dropping from 12% to 9%, showing an overall trend of soil organic matter transitioning to higher grades. The central and northwestern regions were the main areas of improvement, while some areas in the northern and southwestern parts experienced soil degradation. The soil organic matter content was highest and most stable under forested surfaces, remained stable under agricultural surfaces, and fluctuated more under grassland surfaces, possibly due to the influences of climate change and land use patterns. The findings reveal the spatiotemporal dynamics of soil organic matter in Northeast China, providing a scientific basis for the development of soil protection and management policies.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
Series: Atlantis Highlights in Engineering
Publication Date: 9 May 2025
ISBN: 978-94-6463-708-3
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-708-3_56 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Chuheng Jin
AU  - Yan Wang
AU  - Rui Feng
AU  - Ruipeng Ji
AU  - Jinwen Wu
AU  - Wenying Yu
AU  - Lele Hua
PY  - 2025
DA  - 2025/05/09
TI  - Study on Inversion and Spatiotemporal Variation of Soil Organic Matter in Northeast China Based on MODIS Data
BT  - Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
PB  - Atlantis Press
SP  - 527
EP  - 535
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-708-3_56
DO  - 10.2991/978-94-6463-708-3_56
ID  - Jin2025
ER  -

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