| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6347698 | Remote Sensing of Environment | 2012 | 17 Pages |
Abstract
⺠Monitoring of terrestrial ecosystems using Earth Observation data is often ill-posed. ⺠This can be improved by Data Assimilation with biophysical/empirical process models. ⺠A prototype DA system for land surface has been developed: EO-LDAS. ⺠With synthetic Sentinel2 MSI sampling we show improvements by a factor of 2 using DA. ⺠These results are quite robust to data gaps from clouds.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
P. Lewis, J. Gómez-Dans, T. Kaminski, J. Settle, T. Quaife, N. Gobron, J. Styles, M. Berger,