气候变化领域集成服务门户(CCPortal): Training polygons for mapping retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau)

CCPortal

DOI	https://doi.org/10.1594/PANGAEA.908909
	Training polygons for mapping retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau)
	Huang; Lingcao; Luo; Jing; Lin; Zhanju; Niu; Fujun; Liu; Lin
发布日期	2019-11-25
数据集类型	dataset
英文关键词	deep learning ; Permafrost ; Retrogressive Thaw Slumps ; Tibetan Plateau
英文简介	The shapefile contains 354 polygons which are boundaries of retrogressive thaw slumps (RTSs) and other land covers (non-RTS) in Beiluhe on the Tibetan Plateau for training a deep learning algorithm (DeepLabv3+). Among them, 264 are RTS boundaries delineated on Planet images acquired in May 2018, 90 of them are non-RTS polygons. In the attribute table of the shapefile, "class_int" equal to "1" means an RTS polygon and "0" for a non-RTS polygon.
空间范围	Latitude: 34.880000 * Longitude: 92.930000
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/215710
推荐引用方式 GB/T 7714	Huang,Lingcao,Luo,et al. Training polygons for mapping retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau).2019-11-25.https://doi.org/10.1594/PANGAEA.908909.