Due to climate change, the Northwesterner Gilgit Baltistan's, Ghizer district is highly susceptible to glacial lake outburst floods (GLOFs). Nearly 24 GLOFs have occurred in this area in the last ∼200 years, demonstrating the growing recurrent nature of these incidents. Taking this into account, the assessment of risks associated with GLOFs was investigated in this study. All regional glacial lakes were identified in the first phase, and changes between 2000 and 2023 were mapped using moderate-resolution satellite images (Landsat).

RSHIP137 is a self-built remote sensing dataset of ships, consisting of 119,330 images across 137 categories. The size of each image varies, with the largest having dimensions of 182x699 and the smallest being 7x11. The distribution of categories is highly imbalanced, with the most frequent category being "Barge," which contains 31,466 images, and the least frequent category being "901-fast combat support ship," with only 15 images. 

The dataset consists of Sentinel-1 SAR data sampled from areas near Shanghai, China, capturing diverse urban and natural landscapes. The polarization mode employed is VV+VH, providing both vertical-vertical and vertical-horizontal polarized signals to enhance the richness of the information. To simulate real-world conditions, gamma noise has been intentionally introduced, mimicking the noise that typically arises during SAR image sampling and processing.

FLAME 3 is the third dataset in the FLAME series of aerial UAV-collected side-by-side multi-spectral wildlands fire imagery (see FLAME 1 and FLAME 2).