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The Professional Geographer Volume 72, 2020 - Issue 3
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Articles

A New Index to Better Detect and Monitor Agricultural Drought in Niger Using Multisensor Remote Sensing Data

Mamane Barkawi Mansour BadamassiMohammed V UniversityORCID Iconhttp://orcid.org/0000-0002-4716-1384View further author information
ORCID Icon,
Ahmed El-AboudiMohammed V UniversityView further author information
&
Paul Gérard GbetkomMohammed V University and Aix Marseille UniversityView further author information
Pages 421-432 | Received 07 Sep 2019, Accepted 17 Dec 2019, Published online: 23 Mar 2020

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Ismaguil Hanadé Houmma, Sébastien Gadal, Loubna El Mansouri, Maman Garba, Paul Gérard Gbetkom, Mansour Badamassi Mamane Barkawi & Rachid Hadria. (2023) A new multivariate agricultural drought composite index based on random forest algorithm and remote sensing data developed for Sahelian agrosystems. Geomatics, Natural Hazards and Risk 14:1.
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Aly Kounta, Ahmad El-Aboudi, Macoumba Loum, Elhadj Mamadou Dieng Ngom, Djim M. L. Diongue & Ismaguil Hanadé Houmma. (2022) Agro-meteorological drought risk assessment in the groundnut basin of Senegal: the case of the municipalities of Djilor, Diossong, Keur Samba Gueye and Toubacouta. Geocarto International 37:27, pages 18546-18568.
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Articles from other publishers (4)

Jessica Bhardwaj, Yuriy Kuleshov, Zhi-Weng Chua, Andrew B. Watkins, Suelynn Choy & Chayn Sun. (2023) Pairing monitoring datasets with probabilistic forecasts to provide early warning of drought in Australia. Journal of Hydrology 626, pages 130259.
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Khaled F. Alkaraki & Khaled Hazaymeh. (2023) A comprehensive remote sensing-based Agriculture Drought Condition Indicator (CADCI) using machine learning. Environmental Challenges 11, pages 100699.
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Sara Tokhi Arab, Ryozo Noguchi & Tofael Ahamed. (2022) Yield loss assessment of grapes using composite drought index derived from landsat OLI and TIRS datasets. Remote Sensing Applications: Society and Environment 26, pages 100727.
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Pablo Torres, Marina Rodes-Blanco, Alba Viana-Soto, Hector Nieto & Mariano García. (2021) The Role of Remote Sensing for the Assessment and Monitoring of Forest Health: A Systematic Evidence Synthesis. Forests 12:8, pages 1134.
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