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Data for Prediction of Sea Ice Motion with Convolutional Long Short-Term Memory Networks
- Citation Author(s):
- Submitted by:
- Yingli Tian
- Last updated:
- Sun, 03/31/2019 - 23:30
- DOI:
- 10.21227/dq5z-1k95
- Data Format:
- License:
318 ViewsAbstract
This is the images and the image masks used in the paper "Z. Petrou and Y. Tian, Prediction of Sea Ice Motion with Convolutional Long Short-Term Memory Networks,IEEE Transactions on Geoscience and Remote Sensing."
The dataset contains the images and the corresponding sea-ice masks used in the experiments in the manuscript, for the AMSR-E, AMSR2, and ASCAT sensors. The processed png 8-bit images are provided. In particular:
- AMSRE_2011.zip contains the data from the AMSR-E sensor:
- images: the directory contains the brightness temperature images
Naming convention: AMSRE_YYYYMMDD.png, where YYYY, MM, and DD stand for the year, month, and day of the month, respectively;
- masks: contains the sea-ice masks (sea ice: 1, non-sea ice: 0)
Naming convention: AMSRE_YYYYMMDD_mask.png
- AMSR2_2018.zip contains the data from the AMSR2 sensor:
- images: the directory contains the brightness temperature images
Naming convention: AMSR2_YYYYMMDD.png, where YYYY, MM, and DD stand for the year, month, and day of the month, respectively;
- masks: contains the sea-ice masks (sea ice concentration: 1-255, non-sea ice: 0)
Naming convention: AMSR2_YYYYMMDD_mask.png
- ASCAT_2017.zip contains the data from the ASCAT sensor:
- images: the directory contains the brightness temperature images
Naming convention: ASCAT_YYYYDOY.png, where YYYY is the year and DOY the day of the year (e.g. Feb 19 is 050, Feb 20 is 051, etc.);
- masks: contains the sea-ice masks (non-ice ocean: 0, sea-ice: 128, land: 255)
Naming convention: ASCAT_YYYYDOY_mask.png
