Interpolation of AMSR2 data for improvement of ice charting

Allan Aasbjerg Nielsen, David Malmgren-Hansen, Leif Toudal Pedersen, Roberto Saldo, Henning Skriver, John Lavelle, Jørgen Buus-Hinkler, Matilde Brandt Kreiner

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

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Abstract

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.
Original languageEnglish
Publication date2019
Number of pages2
Publication statusPublished - 2019
Event2019 SPIE Remote Sensing Conference - Palais de la Musique et des Congrès, Strasbourg, France
Duration: 9 Sep 201912 Sep 2019

Conference

Conference2019 SPIE Remote Sensing Conference
LocationPalais de la Musique et des Congrès
CountryFrance
CityStrasbourg
Period09/09/201912/09/2019

Cite this

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.
Nielsen, Allan Aasbjerg ; Malmgren-Hansen, David ; Toudal Pedersen, Leif ; Saldo, Roberto ; Skriver, Henning ; Lavelle, John ; Buus-Hinkler, Jørgen ; Brandt Kreiner, Matilde. / Interpolation of AMSR2 data for improvement of ice charting. Abstract from 2019 SPIE Remote Sensing Conference, Strasbourg, France.2 p.
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abstract = "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.",
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Nielsen, AA, Malmgren-Hansen, D, Toudal Pedersen, L, Saldo, R, Skriver, H, Lavelle, J, Buus-Hinkler, J & Brandt Kreiner, M 2019, 'Interpolation of AMSR2 data for improvement of ice charting' 2019 SPIE Remote Sensing Conference, Strasbourg, France, 09/09/2019 - 12/09/2019, .

Interpolation of AMSR2 data for improvement of ice charting. / Nielsen, Allan Aasbjerg; Malmgren-Hansen, David; Toudal Pedersen, Leif; Saldo, Roberto; Skriver, Henning; Lavelle, John; Buus-Hinkler, Jørgen; Brandt Kreiner, Matilde.

2019. Abstract from 2019 SPIE Remote Sensing Conference, Strasbourg, France.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Interpolation of AMSR2 data for improvement of ice charting

AU - Nielsen, Allan Aasbjerg

AU - Malmgren-Hansen, David

AU - Toudal Pedersen, Leif

AU - Saldo, Roberto

AU - Skriver, Henning

AU - Lavelle, John

AU - Buus-Hinkler, Jørgen

AU - Brandt Kreiner, Matilde

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

M3 - Conference abstract for conference

ER -

Nielsen AA, Malmgren-Hansen D, Toudal Pedersen L, Saldo R, Skriver H, Lavelle J et al. Interpolation of AMSR2 data for improvement of ice charting. 2019. Abstract from 2019 SPIE Remote Sensing Conference, Strasbourg, France.