2026-10-07T23:31:50Z https://api.figshare.com/v2/oai

oai:figshare.com:article/29206988 2026-09-15T13:42:29Z category_25795 category_26635 item_type_3 month_year_09_2026

CUGMine: A Fine-Grained Remote Sensing Dataset for Unravelling Open-Pit Mine Ecological Pattern Evolution luyao Peng (21457961) Chengcheng Lin (21458003) Ziyi Wang (18984965) Cheng Zhong (14630744) Geoscience data visualisation Photogrammetry and remote sensing mining area management semantic segmentation algorithm remote sensing - GIS China land cover <p dir="ltr">CUGMine is a fine-grained land cover dataset for open-pit mining areas, containing high-resolution satellite images and pixel-level annotated land cover maps from 226 mines in Yunnan Province, China. It is designed to train and evaluate semantic segmentation models for land cover classification, particularly in regions affected by mining activities.<br><b>Geographic coverage:</b> Yunnan Province, China<br><b>Image source:</b> Google Earth<br><b>Spatial resolution:</b> approximately 1.1-1.2 m (pixel scale 1.07e-5 deg, WGS 84)<br><b>Tile size:</b> 512 x 512 pixels; the training subset additionally contains 966 tiles of 256 x 256 pixels at the same resolution<br><b>Time periods:</b> 2016 and 2022<br><b>Total number of samples:</b> 2,656 image-label pairs (train 2,010 / val 322 / test 324)<br><b>File format:</b> GeoTIFF in the WGS 84 geographic coordinate system (EPSG: 4326), with a per-tile longitude-latitude tie point; images are 8-bit RGB, label maps are single-band integer masks; each image-label pair shares the same numeric file name (1.tif, 2.tif, ...)<br><b>Label encoding (pixel values 0-5, fixed order):</b><br>0 - Grassland<br>1 - Forest<br>2 - Buildings<br>3 - Road<br>4 - Bareland<br>5 - Water<br>Pixel value 0 is the class Grassland; there is no background or no-data value.<br><b>Typical applications:</b> land degradation monitoring; mining environmental impact assessment; model benchmarking for semantic segmentation.<br>All annotations have been manually reviewed. The dataset is intended for research purposes under the CC-BY 4.0 license.</p> 2025-06-01T12:17:17Z Dataset Dataset 10.6084/m9.figshare.29206988.v9 https://figshare.com/articles/dataset/___/29206988 CC BY 4.0