Modeling agricultural drought based on the earth observation-derived standardized precipitation evapotranspiration index and vegetation health index in the northeastern highlands of Ethiopia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06320-3.pdf
Reference74 articles.
1. Aksoy S, Gorucu O, Sertel E (2019) Drought monitoring using MODIS derived indices and google earth engine platform. In: 2019 8th international conference on agro-geoinformatics (Agro-Geoinformatics), pp. 1–6. IEEE. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820209
2. Akwango D, Obaa BB, Turyahabwe N, Baguma Y, Egeru A (2017) Effect of drought early warning system on household food security in Karamoja subregion. Uganda Agric Food Secur 6(1):1–12. https://doi.org/10.1186/s40066-017-0120-x
3. Almeida-Ñauñay AF, Villeta M, Quemada M, Tarquis AM (2022) Assessment of drought indices on different time scales: a case in Semiarid Mediterranean Grasslands. Remote Sens 14(3):565. https://doi.org/10.3390/rs14030565
4. Almendra-Martín L, Martínez-Fernández J, González-Zamora Á, Benito-Verdugo P, Herrero-Jiménez CM (2021) Agricultural drought trends on the Iberian Peninsula: an analysis using modeled and reanalysis soil moisture products. Atmosphere 12(2):236. https://doi.org/10.3390/atmos12020236
5. Anyamba A, Tucker CJ (2012) Historical perspectives on AVHRR NDVI and vegetation drought monitoring. Remote Sens Drought Innov Monitor Approaches. https://doi.org/10.1201/b11863
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