Geoscience and Remote Sensing
Targeting the Huangnibazi Landslide located in the southwestern mountainous region of China, which is mainly induced by the heavy rainfall and the Jiuzhaigou earthquake, we implement the self-potential (SP) monitoring system and global navigation satellite system (GNSS) on the slope. The SP and GNSS data monitored at the slow-moving stage of the landslide are supplied.
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This dataset is the model data required in the manuscript for IEEE Transactions on geoscience and remote sensing.
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The dataset contains hurricane Maria-induced outage duration at the barrio level derived from nighttime lights, along with the values of cofactors from socioeconomic and physical factors that influenced the recovery process.
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This dataset provide researchers a benchmark to develop applicable and adaptive harbor detection algorithms.
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SI-STSAR-7 is a labeled spatiotemporal dataset for sea ice classification based on SAR images. The dataset is produced from 80 Sentinel-1 A/B SAR scenes during the two freezing periods of Hudson Bay from October 2019 to May 2020 and from October 2020 to April 2021, which are provided by the Copernicus Open Access Center. The Sentinel-1 SAR images were preprocessed with noise reduction and incidence angle dependence correction before use.
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