Han et al. (2026) Optimization of Farmland Management Zoning in the Black Soil Region: A Climate Adaptability Assessment Considering Crop Growth Response and Topographic Characteristics

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Identification

• Journal: Remote Sensing
• Year: 2026
• Date: 2026-09-21
• Authors: Yongqi Han, Huijing Zhao, Yun Zhang, Xinle Zhang, Hongfu Ai, Yihao Wang, Linghua Meng, Qian Yang, Yuehua Chen
• DOI: 10.3390/rs18183260

Research Groups

• Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
• Key Laboratory of Agro-ecological Processes in Middle and Lower Reaches of Yangtze River

Short Summary

This study evaluates the adaptability of climate zoning for dryland management using a multi-period fusion framework, demonstrating stronger robustness under complex climatic conditions.

Objective

• Investigate the effectiveness of feature combinations incorporating Sentinel-2 multispectral, PCA, NDVI, and DEM data in improving climate adaptability for dryland management zoning.

Study Configuration

• Spatial Scale: Youyi Farm in the Black Soil Region
• Temporal Scale: Dry, wet, and fused scenarios across multiple years

Methodology and Data

• Models used: Heterogeneous Spatial Attention Network (HSAN) and K-means clustering
• Data sources: Sentinel-2 multispectral data, PCA, NDVI, DEM, and coefficient of variation (CV)

Main Results

• The HSAN outperformed K-means under multi-source fusion, achieving CVs of 11.303–14.774% versus 14.823–16.011%.
• Multi-period NDVI data was the dominant factor in improving stability and adaptability.
• DEM contributions were limited, whereas PCA enhanced stability.

Contributions

• This study provides a scientific basis for climate-adaptive management in the Black Soil Region by demonstrating the effectiveness of multi-period fusion under complex climatic conditions.

Funding

• National Key Research and Development Program of China (2021YFC3100300)
• National Natural Science Foundation of China (41971363)

Citation

@article{Han2026Optimization,
  author = {Han, Yongqi and Zhao, Huijing and Zhang, Yun and Zhang, Xinle and Ai, Hongfu and Wang, Yihao and Meng, Linghua and Yang, Qian and Chen, Yuehua},
  title = {Optimization of Farmland Management Zoning in the Black Soil Region: A Climate Adaptability Assessment Considering Crop Growth Response and Topographic Characteristics},
  journal = {Remote Sensing},
  year = {2026},
  doi = {10.3390/rs18183260},
  url = {https://doi.org/10.3390/rs18183260}
}