Validating the Carnegie-Ames-Stanford Approach for remote sensing of perennial grass net primary production

Shaohui Zhang , Poul Erik Lærke , Mathias Neumann Andersen , Junxiang Peng , Esben Øster Mortensen , Johannes Wilhelmus Maria Pullens, Sheng Wang , Klaus Steenberg Larsen , Davide Cammarano , Uffe Jørgensen , Kiril Manevski

https://doi.org/10.1016/j.rse.2025.114857

Highlights

• Tall fescue displayed higher RUE_max than festulolium and perennial ryegrass.
• Improved CASA model with high accuracy by considering environmental constraints.
• NPP was predicted well both at field- and airborne-scale, daily and seasonal scale.
• Maximum air temperature and water stress were major environmental constraints.
• Actual evapotranspiration estimation by remotely sensed energy balance method.