Construction and verification of thermal infrared hyperspectral mathematical model for soil organic matter in arid areas

Key Points

• Soil organic matter levels can be effectively predicted using a thermal infrared hyperspectral model, enhancing precision in arid regions.
• The model demonstrates an accuracy of 85% in estimating soil organic matter content across various arid locations.
• Use of hyperspectral imaging allows for detailed insights into soil composition and properties in challenging environments.
• Validation suggests potential applications in sustainable agriculture and land management for arid ecosystems.