LSD4WSD : An Open Dataset for Wet Snow Detection with SAR Data and Physical Labelling
收藏DataCite Commons2023-07-06 更新2025-04-16 收录
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https://ieee-dataport.org/documents/lsd4wsd-open-dataset-wet-snow-detection-sar-data-and-physical-labelling
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资源简介：
LSD4WSD: Learning SAR Dataset for Wet Snow Detection.The dataset can be found at : https://zenodo.org/record/8111485The aim of this dataset is to provide a basis for automatic learning to detect wet snow. It is based on Sentinel-1 SAR satellite images acquired between August 2020 and August 2021 over the French Alps. It consists of 487157 samples of size 16 by 16 by 9 for training and 3668 for testing. For each sample, the associated label is obtained using the Crocus physical model.The 9 channels are in the following order: Sentinel-1 polarimetric channels: VV, VH and the combination C: VV/VH,Topographical features: altitude, orientation, slopePolarimetric ratio with a reference summer image: VV/VVref, VH/VHref, C/Cref
提供机构：
IEEE DataPort
创建时间：
2023-07-06
