Exploring the Potential of Multi-Temporal Crop Canopy Models and Vegetation Indices from Pleiades Imagery for Yield Estimation

Publikationsart: Zeitschriftenbeiträge (peer-reviewed)
Titel: Exploring the Potential of Multi-Temporal Crop Canopy Models and Vegetation Indices from Pleiades Imagery for Yield Estimation
Medien: Remote Sensing
DOI: 10.3390/rs15163990
Heft: 16
Band: 15
Artikelnummer: 3990
Autoren: Dimo Dimov, Prof. Dr. Patrick Noack
Seiten: 1-15
Veröffentlichungsdatum: 11.08.2023
Zitation: Dimov, Dimo; Noack, Patrick (2023): Exploring the Potential of Multi-Temporal Crop Canopy Models and Vegetation Indices from Pleiades Imagery for Yield Estimation. Remote Sensing 15, 3990 (16), S. 1-15. DOI: 10.3390/rs15163990