Integrating GIS-Fuzzy logic framework and remotely sensed climate data for drought vulnerability assessment across Africa.
- DOI
- 10.1007/s10661-025-14577-3
- Published
- 2025 Sep 11
- Container
- Environmental monitoring and assessment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-025-14577-3,
title = {Integrating GIS-Fuzzy logic framework and remotely sensed climate data for drought vulnerability assessment across Africa.},
author = {Alasgah AA and Ahmad I and Dar MA and Youssef YM and Zelenakova M and Sisay M and Zewdu GS and Heiba Y},
year = {2025},
journal = {Environmental monitoring and assessment},
doi = {10.1007/s10661-025-14577-3},
url = {https://doi.org/10.1007/s10661-025-14577-3}
}RIS
TY - JOUR TI - Integrating GIS-Fuzzy logic framework and remotely sensed climate data for drought vulnerability assessment across Africa. AU - Alasgah AA AU - Ahmad I AU - Dar MA AU - Youssef YM AU - Zelenakova M AU - Sisay M AU - Zewdu GS AU - Heiba Y PY - 2025 JO - Environmental monitoring and assessment DO - 10.1007/s10661-025-14577-3 UR - https://doi.org/10.1007/s10661-025-14577-3 ER -
APA
AA, A., I, A., MA, D., YM, Y., M, Z., M, S., GS, Z., & Y, H. (2025). Integrating GIS-Fuzzy logic framework and remotely sensed climate data for drought vulnerability assessment across Africa.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-025-14577-3
Source records
- pubmed · retrieved 2026-11-10T18:58:44.456Z