$Sample set of remote sensing image data of mountain collapse and seismic fracture in southwest mountainous area (2008-2018)$

The image information data of Beichuan area in Sichuan Province, Ludian area in Yunnan Province and Bijie area in Guizhou Province can be used to construct the interpretation and identification marks of remote sensing images of mountain seismic crack and collapse, reveal the general form of mountain seismic crack and collapse, and evaluate the risk level of specific mountain seismic crack and collapse; The data can be combined with DEM data to mine the development mechanism of mountain seismic crack and collapse. On this basis, we can further study and improve the intelligent identification theory and formation mechanism of mountain seismic crack and collapse, so as to provide indicative significance for looking for the material source of other similar types of seismic crack and collapse. Some of the original data of the project can be used to fully understand the risk of earthquake cracking and collapse in Ludian area.

File naming and required software

The preliminary use method of the data generated by the project is as follows:
(1) Image data package (. Png \. JPG): read directly by using the image library under the python compilation environment;
(2) XML package (. XML \. JSON): use the utils module of labelme / labelimg in Python compilation environment to parse and convert it into array tag.
The specific use method of the data generated by the project can be formulated according to different needs.

Data Citations Data citation guideline What's data citation?

Cite as:

Han, Z. (2022). Sample set of remote sensing image data of mountain collapse and seismic fracture in southwest mountainous area (2008-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/RemoteSen.tpdc.272118. CSTR: 18406.11.RemoteSen.tpdc.272118. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Initiation pattern and evaluation method for dynamic reserves of differently originated source materials of channelized debris flows in strong earthquake area (No:2018YFC1505401)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)