Developing Maize Yield Predictive Models from Sentinel-2 MSI Derived Vegetation Indices: An Approach to an Early Warning System on Yield Fluctuation and Food Security

2021 | journal article; research paper. A publication with affiliation to the University of Göttingen.

Jump to:Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Bazezew, M. N., Belay, A. T., Guda, S. T. & Kleinn, C. (2021). ​Developing Maize Yield Predictive Models from Sentinel-2 MSI Derived Vegetation Indices: An Approach to an Early Warning System on Yield Fluctuation and Food Security. Journal of Photogrammetry, Remote Sensing and Geoinformation Science, . ​doi: https://doi.org/10.1007/s41064-021-00178-5 

Documents & Media

License

GRO License GRO License

Details

Authors
Bazezew, Muluken N.; Belay, Achenef Tigabu; Guda, Shiferaw Tolosa; Kleinn, Christoph 
Issue Date
2021
Journal
Journal of Photogrammetry, Remote Sensing and Geoinformation Science 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Waldinventur und Fernerkundung 
ISSN
2512-2789
eISSN
2512-2819
Language
English

Reference

Citations


Social Media