A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data
<p>Melt ponds are key elements in the energy balance of Arctic sea ice. Observing their temporal evolution is crucial for understanding melt processes and predicting sea ice evolution. Remote sensing is the only technique that enables large-scale observations of Arctic sea ice. However, monito...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-08-01
|
| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/14/2567/2020/tc-14-2567-2020.pdf |