Drought vulnerability of central Sahel agrosystems: a modelling-approach based on magnitudes of changes and machine learning techniques-Reference-Cited by-同舟云学术

Drought vulnerability of central Sahel agrosystems: a modelling-approach based on magnitudes of changes and machine learning techniques

Published:2023-07-18 Issue:14 Volume:44 Page:4262-4300
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Hanadé Houmma Ismaguil¹²,El Mansouri Loubna²,Gadal Sébastien¹,Faouzi Elhousna³,Abdourhamane Toure Amadou⁴,Garba Maman⁵⁶,Imani Yasmina²,El-Ayachi Moha²,Hadria Rachid⁷

Affiliation:

1. Aix Marseille Univ, Université Côte d’Azur, Avignon Université, CNRS, ESPACE, Avignon, France

2. Hassan II Institute of Agronomy and Veterinary, Department of Geodesy and Topography, Geomatics Science and Engineering, Rabat, Morocco

3. Data Science for Sustainable Earth Laboratory (Data4Earth) Sultan Moulay Slimane University, Beni Mellal, Morocco

4. Faculty of Science and Technology, Department of Geology, Abdou Moumouni University, Niamey, Niger

5. International Institute of Tropical Agriculture (IITA) - Visiting Scientist, Niamey, Niger

6. Department of environment, National Institute of Agricultural Research, (INRA), Rabat, Morocco

7. Institut National de la Recherche Agronomique du Niger (INRAN), Niamey, Niger

Funder

Islamic Development Bank under a three-year thesis grant

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2234094

Reference88 articles.

1. Probability assessment of vegetation vulnerability to drought based on remote sensing data

2. Adamou, Rabani and Ibrahim, Boubacar and Bonkaney, Abdou Latif and Seyni, Abdoul Aziz and Idrissa, Mamoudou, Niger - Land, Climate, Energy, Agriculture and Development: A Study in the Sudano-Sahel Initiative for Regional Development, Jobs, and Food Security (January 19, 2021). ZEF Working Paper Series, ISSN 1864-6638, Center for Development Research, University of Bonn, January 2021, Available at SSRN: https://ssrn.com/abstract=3769119

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