paper
2022
Climate analysis & attribution
New model or method
RNN / LSTM / ConvLSTMCNN / U-Net Other
2022-12-31
008
Dec 2022
Bradley A. Gay, Amanda Armstrong, Neal J. Pastick et al.
preprint
GeoCryoAI, a hybrid CNN-LSTM ensemble, models permafrost degradation and soil carbon feedbacks in Alaska, aiming to fill a gap in Earth system models.
Climate analysis & attribution
Quantifying Feedback Sensitivities of Permafrost Degradation and Carbon Release with Earth Observation Data and Feedback Neural Networks
In one sentence. GeoCryoAI, a hybrid CNN-LSTM ensemble, models permafrost degradation and soil carbon feedbacks in Alaska, aiming to fill a gap in Earth system models.
Labels
- Topic
- Climate analysis & attribution
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, CNN / U-Net
- Domain
- Regional
- Data
- Satellite, Other
- Status
- Research
- Identifiers
- DOI:10.22541/essoar.167252578.88217202/v1 OpenAlex:W4313393504
- Added
- 2026-10-22
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