Hu, Yan; Liu, Lin; Huang, Lingcao; Zhao, Lin; Wu, Tonghua (2021): Rock glacier inventory of the West Kunlun Mountains of China [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.938686
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
The dataset is a rock glacier inventory of the West Kunlun Mountains of China. It contains the boundaries of the landforms, their geometric information, and kinematic data. The inventory has been compiled followed the IPA guidelines on mapping rock glaciers. Remote sensing data adopted to produce this dataset includes optical images (Google Earth and Sentinel-2 images) and Interferometric SAR (InSAR) images (ALOS-1 PALSAR). Both manual inspection and deep learning-powered automatic detection have been used to identify and delineate the landforms. The geometric information of the inventoried landforms has been derived from SRTM DEM and Tandem-X DEM. The kinematic data has been quantified from ALOS-1 PALSAR data during 2006–2010. Specific temporal coverage for each displacement rate is included in the attribute table of the ESRI Shapefile. It is the first rock glacier inventory of the arid West Kunlun region, aiming to provide the baseline knowledge of these ice-rich landforms for long-term monitoring in the warming climate.
Supplement to:
Hu, Yan; Liu, Lin; Huang, Lingcao; Zhao, Lin; Wu, Tonghua; Wang, Xiaowen (2023): Mapping and Characterizing Rock Glaciers in the Arid Western Kunlun Mountains Supported by InSAR and Deep Learning. e2023JF007206, https://doi.org/10.1029/2023JF007206
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
5 data points