Conference paper
Interpolation of AMSR2 data for improvement of ice charting
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Danish Meteorological Institute3
Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark4
National Space Institute, Technical University of Denmark5
Today, ice charts in Greenland waters are produced manually by the Danish Meteorological Institute (DMI) for selected regions depending on season and shipping routes. The project “Automated Downstream Sea Ice Products for Greenland Waters” or shorter “Automated Sea Ice Products” (ASIP) attempts to automate this process by means of fusion of data from instruments with different resolutions and modalities.
As a part of this process data from the Advanced Microwave Scanning Radiometer (AMSR2) will be interpolated to the geometry of the SAR data acquired by Sentinel-1. In a preparatory leave-one-out cross-validation (LOOCV) study, different interpolation methods including ordinary kriging (OK) are compared.
Using bias and root-mean-squared error (RMSE) as measures of precision, OK using 20-30 nearest neighbours outperforms other often used methods such as inverse distance (ID) weighting. This comes at a cost: more work needs to be done by both the operator and the computer.
| Language: | English |
|---|---|
| Year: | 2019 |
| Proceedings: | 2019 SPIE Remote Sensing Conference |
| Types: | Conference paper |
| ORCIDs: | Nielsen, Allan Aasbjerg , Saldo, Roberto and Skriver, Henning |
