| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6349047 | International Journal of Applied Earth Observation and Geoinformation | 2013 | 12 Pages |
Abstract
⺠NDVI-based model can be used to predict winter wheat in Ukraine two to three months prior to harvest. ⺠Performance of models varies within agro-climatic zones. ⺠Models were robust while adding new NDVI and winter wheat yield data. ⺠NDVI-based models gave similar accuracy to meteorological and CGMS models while providing minimum requirements to input datasets.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Felix Kogan, Nataliia Kussul, Tatiana Adamenko, Sergii Skakun, Oleksii Kravchenko, Oleksii Kryvobok, Andrii Shelestov, Andrii Kolotii, Olga Kussul, Alla Lavrenyuk,