Efficient multi-scale Gaussian process regression for massive remote sensing data with satGP v0.1
<jats:p>Abstract. Satellite remote sensing provides a global view to processes on Earth that has unique benefits compared to measurements made on the ground. The global coverage and the enormous amounts of data produced come, however, with the price of spatial and temporal gaps and less than p...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus GmbH
2021
|
| Online Access: | https://hdl.handle.net/1721.1/135420 |