Dataset of soil relative humidity and drought index in 2014-2015


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. Soil relative moisture index is one of the indicators that characterize soil drought. It is the ratio of soil relative humidity to field water holding capacity, which can directly reflect the availability of water for crops.The soil moisture data is obtained from the SMAP remote sensing soil moisture data product through the downscaling method, and the field water holding capacity data comes from the Hamonized World Soil Database (HWSD). For detailed calculation formulas and methods, please refer to: "National Standard for Agricultural Drought Grades of China" No.: GB/T 32136-2015. The data covers 34 key node areas along the Belt and Road.


Data file naming and use method

.dat format, can be opened and analysed in ARCGIS and ENVI softwares.


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Cite as:

WU Hua. Dataset of soil relative humidity and drought index in 2014-2015. National Tibetan Plateau Data Center, 2020. (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.


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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
Detail
  • Temporal resolution: Monthly
  • Spatial resolution: 100m - 1km
  • File size: 11,000 MB
  • Browse count: 528 Times
  • Apply count: 14 Times
  • Share mode: online
  • Temporal coverage: 2014-01-11 To 2016-01-10
  • Updated time: 2020-01-29
Contact Information
: WU Hua  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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