Articles | Volume 1, issue 1
https://doi.org/10.5194/eo-1-77-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/eo-1-77-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Sep 2026
Research article |
| 07 Sep 2026
| 07 Sep 2026
Connecting earth observation anomalies to farmer surveys for monitoring impacts of agricultural drought on rainfed rice yields in Nigeria
Nick Gutkin
Department of Earth and Environmental Sciences, KU Leuven, Leuven, 3000, Belgium
VITO (Flemish Institute for Technological Research), Mol, 2400, Belgium
Chiamaka I. Ehiemere
CORRESPONDING AUTHOR
Department of Geoinformatics and Surveying, University of Nigeria Nsukka, 410105, Enugu, Nigeria
Koen De Vos
VITO (Flemish Institute for Technological Research), Mol, 2400, Belgium
Nnamdi Ehiemere
Department of Estate Management, University of Nigeria Nsukka, 410105, Enugu, Nigeria
Jeroen Degerickx
VITO (Flemish Institute for Technological Research), Mol, 2400, Belgium
Sarah Gebruers
VITO (Flemish Institute for Technological Research), Mol, 2400, Belgium
Uchechukwu Nwafor
Department of Geoinformatics and Surveying, University of Nigeria Nsukka, 410105, Enugu, Nigeria
Anne Gobin
Department of Earth and Environmental Sciences, KU Leuven, Leuven, 3000, Belgium
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Short summary
This study combines earth observation indicators and farmer survey data collected in four rice-growing states in Nigeria to assess drought impacts on rainfed rice yields. We use regression models to connect meteorological indices and earth observation indicator anomalies to identify drought moments over the years 2020–2024, demonstrating that indicator anomalies are correlated to rice yield changes, particularly when anomaly values are aggregated temporally over separate rice growth stages.
This study combines earth observation indicators and farmer survey data collected in four...
