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.
This dataset is the model data required in the manuscript for IEEE Transactions on geoscience and remote sensing.
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.
This dataset provide researchers a benchmark to develop applicable and adaptive harbor detection algorithms.
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.
<p>This is the image dataset for satellite image processing which is a collection therml infrared and multispectral images .</p>
[NEW] Urb3DCD V2 is now avalaible!
The files here support the analysis presented in the Comment on “Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry” by Ansari et al. (2021), published in IEEE Transactions on Geoscience and Remote Sensing [1]. In particular, we provide in the following the instructions to access the multilook interferogram sequences exploited in our Comment and their ancillary information.
This dataset contains modified Copernicus Sentinel data [2021].
Links to download the datasets:
The InSAR processing result,GPS result,gray model predicted result and Gray-Markov model predicted result
TBD
