Dataset ofRelative Humidity Index of key nodes in the Countries along the 'Belt and Road' (2014-2015) (Version 1.0)

Dataset ofRelative Humidity Index of key nodes in the Countries along the 'Belt and Road' (2014-2015) (Version 1.0)


Water scarcity,food crises and ecological deterioration caused by drought disasters are a direct threat to food security and socio-economic development. Improvement of drought disaster risk assessment and emergency management is now urgently required. This article describes major scientific and technological progress in the field of drought disaster risk assessment. Drought is a worldwide natural disaster that has long affected agricultural production as well as social and economic activities. Frequent droughts have been observed in the Belt and Road area, in which much of the agricultural land is concentrated in fragile ecological environment. The relative humidity index is the difference between the amount of precipitation in a certain period of time and the potential evapotranspiration over the same period divided by the potential evapotranspiration.


File naming and required software

File name: envi standard format (. DAT) storage, folder storage, named for each country, such as Abbas, folder data name: miyyyddd.dat, yyyy for year, DDD for date, such as mi201101. Dat for January 2011 humidity index.
File reading method: ARCGIS and ENVI can be used to open the view.


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

Ge, Y., Wu, H. (2020). Dataset ofRelative Humidity Index of key nodes in the Countries along the 'Belt and Road' (2014-2015) (Version 1.0). A Big Earth Data Platform for Three Poles, (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zhang, Q., Zou, X., & Xiao, F. (2006). Classification of meteorological droughts. Standards Press of China Tech. Rep. GB/T20481-2006, 17.( View Details | Download | Bibtex)

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


Copyright & License

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


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Keywords
Geographic coverage
East: 180.00 West: 12.00
South: -11.00 North: 82.00
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 100m - 1km
  • File size: 26,400 MB
  • Views: 1748
  • Downloads: 5
  • Access: Open Access
  • Temporal coverage: 2014-01-11 To 2016-01-10
  • Updated time: 2021-04-19
Contacts
: GE Yong   WU Hua  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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