The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/8a8934ef-9407-406f-8bfb-573eb182ec54

de Roda Husman, Sophie; Stef Lhermitte; Bolibar, Jordi; Hu, Zhongyang; Shukla, Shashwat et. al. (2024): A High-Resolution Record of Surface Melt on Antarctic Ice Shelves using Multi-Source Remote Sensing Data and Deep Learning. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/8a8934ef-9407-406f-8bfb-573eb182ec54.v2

Dataset

x choose version: version 1 - 2023-07-05

• Physical Geography and Environmental Geoscience
• Climate and Climate Change
• Atmosphere and Weather
• Earth Sciences
• Environment

Antarctica, Deep learning, Google Earth Engine, High-resolution, Ice shelves, Surface melt, U-Net

2016-2021

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sophie de Roda Husman , Stef Lhermitte , Jordi Bolibar , Zhongyang Hu , Shashwat Shukla , Maaike Izeboud , Marijn van der Meer , David Long , Bert Wouters

The dataset provided in this repository corresponds to the original data used in the publication by De Roda Husman et al. (2023) titled "A High-Resolution Record of Surface Melt on Antarctic Ice Shelves using Multi-Source Remote Sensing Data and Deep Learning". 

The dataset, named UMelt, contains a comprehensive surface melt record for all Antarctic ice shelves. It offers a high spatial resolution of 500 meters and a high temporal resolution of 12 hours, covering the period from 2016 to 2021. Our methodology relies on the utilization of a deep learning model known as U-Net, which integrates microwave remote sensing observations from three sources: Sentinel-1, Special Sensor Microwave Imager/Sounder (SSMIS), and Advanced Scatterometer (ASCAT). 

The data is available for download in two formats: 

1. "Timeseries": This format provides the data at a twice-daily resolution, allowing for detailed analysis over time.

2. "MeltFraction": This format offers a yearly, summed product, providing a consolidated representation of the melt fraction.

Feel free to access and explore the dataset to gain valuable insights into surface melt dynamics on Antarctic ice shelves.

• 2023-07-05 first online

• 2024-07-10 published, posted

4TU.ResearchData

GeoTIFF

A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning

• Nederlandse Organisatie voor Wetenschappelijk Onderzoek

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Remote Sensing