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.
|Number of pages||2|
|Publication status||Published - 2019|
|Event||2019 SPIE Remote Sensing Conference - Palais de la Musique et des Congrès, Strasbourg, France|
Duration: 9 Sep 2019 → 12 Sep 2019
|Conference||2019 SPIE Remote Sensing Conference|
|Location||Palais de la Musique et des Congrès|
|Period||09/09/2019 → 12/09/2019|
Nielsen, A. A., Malmgren-Hansen, D.
, Toudal Pedersen, L., Saldo, R., Skriver, H.
, Lavelle, J., ... Brandt Kreiner, M. (2019). Interpolation of AMSR2 data for improvement of ice charting
. Abstract from 2019 SPIE Remote Sensing Conference, Strasbourg, France.