Soil health indicators are important because they reflect the capacity of soils to support plant growth, maintain soil fertility, preserve ecosystem balance, and contribute to sustainable land management. Healthy soils are characterized by good water retention and balanced soil properties, which play a crucial role in reducing soil degradation and supporting sustainable watershed management. However, conventional soil health assessment over large areas remains constrained by limitations in time, labor, and resources. Therefore, remote sensing techniques have increasingly been applied to improve assessment efficiency and spatial coverage, while enabling the identification of degraded soils and low soil health areas that may be vulnerable to environmental risks and disasters. The Cornell Framework was applied to assess soil health in the Huai Krasiew Sub-watershed through the analysis of relationships among soil indicators using the Pearson Correlation Coefficient and Principal Component Analysis (PCA) to determine the most suitable indicators. In addition, the potential of remote sensing–based vegetation indices, including NDVI, GNDVI, and SAVI, was evaluated for identifying degraded soils and areas with low soil health.

This poster was presented during the 11th APN Early Career Professional Poster and Networking Session, held alongside the APN 27th Joint Intergovernmental and Scientific Planning Group Meetings on 9 July 2026 in Bangkok, Thailand.