Assessing climate resilience in rice production: measuring the impact of the Millennium Challenge Corporation’s IWRM scheme in the Senegal River Valley using remote sensing and machine learning

Satellite remote sensing (RS) and machine learning can be combined to develop methods for measuring the impacts of climate change on biomass and agricultural systems. From 2015 to 2023, we applied this approach in a critical earth observation-based evaluation of the Irrigation and Water Resources Ma...

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Detalhes bibliográficos

Principais autores:	D Ó Fionnagáin, M Geever, J O’Farrell, P Codyre, R Trearty, Y M Tessema, L Reymondin, A M Loboguerrero, C Spillane, A Golden
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IOP Publishing 2024-01-01
Colecção:	Environmental Research Letters
Assuntos:	earth observation irrigation systems climate resilience machine learning food security rice cultivation
Acesso em linha:	https://doi.org/10.1088/1748-9326/ad52b1
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