Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects

2024/02/16 by Liang Wan, Youngryel Ryu, Benjamin Dechant +3 · 2 citations
Environmental Science · #Remote Sensing in Agriculture #Land Use and Ecosystem Services #Urban Heat Island Mitigation

paper · doi:10.1016/j.rse.2024.114048

Citations

• Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

Cited by

• Deriving leaf-scale chlorophyll index (CIleaf) from canopy reflectance by correcting for the canopy multiple scattering based on spectral invariant theory
• PINN-AMF: A physics-informed neural network with attention-based multi-source fusion for robust chlorophyll retrieval from UAV hyperspectral imagery