Training polygons for mapping retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau)

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...

Full description

Bibliographic Details
Main Authors: Huang, Lingcao, Luo, Jing, Lin, Zhanju, Niu, Fujun, Liu, Lin
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Beiluhe_area
deep learning
permafrost
Retrogressive Thaw Slumps
Tibetan Plateau
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.908909
https://doi.org/10.1594/PANGAEA.908909
Description
Summary: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.

Similar Items