TY - DATA
T1 - A High-Resolution Record of Surface Melt on Antarctic Ice Shelves using Multi-Source Remote Sensing Data and Deep Learning
PY - 2024/07/10
AU - Sophie de Roda Husman
AU - Stef Lhermitte
AU - Jordi Bolibar
AU - Zhongyang Hu
AU - Shashwat Shukla
AU - Maaike Izeboud
AU - Marijn van der Meer
AU - David Long
AU - Bert Wouters
UR - 
DO - 10.4121/8a8934ef-9407-406f-8bfb-573eb182ec54.v2
KW - Antarctica
KW - Surface melt
KW - Deep learning
KW - U-Net
KW - Ice shelves
KW - High-resolution
KW - Google Earth Engine
N2 - <p>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".&nbsp;</p><p><br></p><p>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).&nbsp;</p><p><br></p><p>The data is available for download in two formats:&nbsp;</p><p>1. "Timeseries": This format provides the data at a twice-daily resolution, allowing for detailed analysis over time.</p><p>2. "MeltFraction": This format offers a yearly, summed product, providing a consolidated representation of the melt fraction.</p><p><br></p><p>Feel free to access and explore the dataset to gain valuable insights into surface melt dynamics on Antarctic ice shelves.</p>
ER -