Multi-scale spatial environment and element-at-risk dataset of The Hengduan Mountains

Multi-scale spatial environment and element-at-risk dataset of The Hengduan Mountains


Hengduanshan multi-scale disaster causing, disaster pregnant and disaster bearing data spatiotemporal unified data set includes a series of geomorphic data derived from elevation data, annual average normalized vegetation index data, annual average temperature and rainfall data, and night light data of viirs. The geomorphological data cover Hengduanshan area, the vegetation and climate data cover the Qinghai Tibet Plateau, and the nighttime lamp index data cover the whole country. Data collection time varies according to different sources, with the earliest in 2000 and the latest in 2018. The data set is mainly prepared for disaster and risk assessment. In this data set, these data are processed by resampling, spatial correction, optical correction, geomorphic factor calculation, spatial statistics and other processes. The accuracy of the data is consistent with the original accuracy of the data source, and has not been processed by fuzzy processing such as downsampling. In the process of processing, the scientific standard process is used to distinguish continuous and discontinuous data, so as to minimize the data loss in the process of processing.


File naming and required software

The data are named intuitively, such as "slope", "2-year accumulated rainfall", "2019viirs night light".


Data Citations Data citation guideline What's data citation?
Cite as:

Tang, C. (2021). Multi-scale spatial environment and element-at-risk dataset of The Hengduan Mountains. A Big Earth Data Platform for Three Poles, (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

Second Tibetan Plateau Scientific Expedition Program

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 104.70 West: 93.60
South: 21.65 North: 34.14
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 100m - 1km
  • File size: 2,360 MB
  • Views: 1782
  • Downloads: 110
  • Access: Open Access
  • Temporal coverage: 2000-05-01 To 2018-06-01
  • Updated time: 2021-05-18
Contacts
: TANG Chenxiao  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata