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Can remote sensing enable a Biomass Climate Adaptation Index for agricultural systems?

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Title Can remote sensing enable a Biomass Climate Adaptation Index for agricultural systems?
 
Creator Ferguson, Amy
Murray, Catherine
Tessema, Yared Mesfin
McKeown, Peter C.
Reymondin, Louis
Loboguerrero, Ana María
Talsma, Tiffany
Allen, Brenden
Jarvis, Andy
Golden, Aaron
Spillane, Charles
 
Subject climate change
agriculture
resilience
adaptation
remote sensing
artificial intelligence
machine learning
data
farming systems
 
Description IFPRI Project: Digital Innovation Initiative/204025.000.400
Systematic tools and approaches for measuring climate change adaptation at multiple scales of spatial resolution are lacking, limiting measurement of progress toward the adaptation goals of the Paris Agreement. In particular, there is a lack of adaptation measurement or tracking systems that are coherent (measuring adaptation itself), comparable (allowing comparisons across geographies and systems), and comprehensive (are supported by the necessary data). In addition, most adaptation measurement efforts lack an appropriate counterfactual baseline to assess the effectiveness of adaptation-related interventions. To address this, we are developing a “Biomass Climate Adaptation Index” (Biomass CAI) for agricultural systems, where climate adaptation progress across multiple scales can be measured by satellite remote sensing. The Biomass CAI can be used at global, national, landscape and farm-level to remotely monitor agri-biomass productivity associated with adaptation interventions, and to facilitate more tailored “precision adaptation”. The Biomass CAI places focus on decision-support for end-users to ensure that the most effective climate change adaptation investments and interventions can be made in agricultural and food systems.
 
Date 2022-11-30
2022-12-19T15:28:39Z
2022-12-19T15:28:39Z
 
Type Journal Article
 
Identifier Ferguson, Amy; Murray, Catherine; Tessema, Yared Mesfin; McKeown, Peter C.; Reymondin, Louis; Loboguerrero, Ana Maria; Talsma, Tiffany; Allen, Brenden; Jarvis, Andy; Golden, Aaron; Spillane, Charles. 2022. Can remote sensing enable a Biomass Climate Adaptation Index for agricultural systems? Frontiers in Climate 4:938975. https://doi.org/10.3389/fclim.2022.938975
2624-9553
https://hdl.handle.net/10568/126091
https://doi.org/10.3389/fclim.2022.938975
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format application/pdf
 
Publisher Frontiers Media SA
 
Source Frontiers in Climate