Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology

Extreme weather causes substantial damage to livelihoods of smallholder farmers globally and are projected to become more frequent in the coming decades as a result of climate change. Index insurance can theoretically help farmers to adapt and mitigate the risks posed by extreme weather events, prov...

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Bibliographic Details

Main Authors:	Afshar, Mehdi H., Foster, Tim, Higginbottom, Thomas P., Parkes, Ben, Hufkens, Koen, Mansabdar, Sanjay, Ceballos, Francisco, Kramer, Berber
Format:	Abstract
Language:	Inglés
Published:	EGU General Assembly 2021
Subjects:	insurance models data remote sensing leaf area index farmers crop yield yield forecasting smallholders extreme weather events livelihoods yields crop modelling
Online Access:	https://hdl.handle.net/10568/143207