Application of the Process‐Oriented and Machine Learning Combined Model in Mapping of Soil Organic Carbon of Non‐Waterlogged Mineral Soils at National Scale

Documenti analoghi

• Soil Organic Carbon Sequestration Potential, Storage, and Influencing Mechanisms in China
  di: Jinhua Cao, et al.
  Pubblicazione: (2025)
• Unveiling the Dynamic Patterns and Driving Forces of Soil Organic Carbon in Chinese Croplands From 1980 to 2020
  di: Junchen Ai, et al.
  Pubblicazione: (2025)
• Fractional Order Differentiation Preprocessing Based Fusion of Vis– NIR and pXRF : A New Strategy for Precise Monitoring of Low Concentration Heavy Metals in Arid Agricultural Soils
  di: Liangyi Li, et al.
  Pubblicazione: (2026)
• Potential of Hyperspectral Data Combined With Optimal Band Combination Algorithm for Estimating Soil Organic Carbon Content in Lakeside Oasis
  di: Jixiang Yang, et al.
  Pubblicazione: (2024)
• Unveiling the Advantages of UV −Vis/ NIR − pXRF Data Fusion for Precise Estimation of Soil Heavy Metals in Farmland
  di: Susu Gao, et al.
  Pubblicazione: (2026)