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Revert "Update research.yml"
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_data/research.yml

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image: images/research/permafrost.png
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klass:
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desc: Employing ML models to map and predict permafrost and peatlands across U.S.
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abstract: "This project employs machine learning models to map and predict the extent and characteristics of permafrost and peatlands across the United States. This project is conducted under AI-CLIMATE and in conjunction with the <a href="https://www.jelinskilabpedology.org/">Jelinski Lab</a>."
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abstract: This project employs machine learning models to map and predict the extent and characteristics of permafrost and peatlands across the United States. This project is conducted under AI-CLIMATE and in conjunction with the Jelinski Lab.
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paper:
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sponsor:
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link:
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link: https://www.jelinskilabpedology.org/
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github:
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demo:
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- title: CEDAR
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progress: ongoing
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image: images/research/cedar.png
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klass:
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desc: Estimating aboveground biomass and carbon stocks in forests.
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abstract: "Carbon Estimation with Deep LeARning (CEDAR) is a project designed to estimate aboveground biomass and carbon stocks in forests by leveraging deep learning models. CEDAR is a collaboration with <a href="https://forestry.umn.edu/people/chad-babcock">Chad Babcock's Lab.</a>"
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abstract: Carbon Estimation with Deep LeARning (CEDAR) is a project designed to estimate aboveground biomass and carbon stocks in forests by leveraging deep learning models. CEDAR is a collaboration with Chad Babcock's Lab.
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paper:
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sponsor:
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link:
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link: https://forestry.umn.edu/people/chad-babcock
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github:
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demo:
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- title: Critical MAAS

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