Inaccurate quantification of soil erosion and abandonment risk prevents effective land preservation. Precise identification of degradation patterns allows for targeted intervention in vulnerable black soil regions.

Inaccurate forecasting of emission reductions and yield fluctuations during policy shifts. Reducing this uncertainty allows for precise resource allocation and risk mitigation in land management.

Discrepancies between field data and remote sensing lead to unreliable land quality assessments. Improving spatial-temporal accuracy enables precise resource management and degradation prevention.