Zone I • Versions ZH2
Abstract: Drought disasters happen frequently along the China–Pakistan Economic Corridor (CPEC), which harm the development and safety of the countries along it. It is therefore important to conduct drought monitoring along CPEC. While soil water content (SWC) is a fundamental indicator of drought prediction, temperature vegetation dryness index (TVDI) can predict drought by inverting surface soil water content. Based on a combination of MODIS normalized differential vegetation index (NDVI) and land surface temperature (LST) products and SRTM DEM data, the study used NDVI-LST spatial characteristics to extract the spatial edge of dryness and wetness along CPEC from 2000 – 2017, through which to obtain the monthly TVDI. The study area is from 41°25'24.49"N to 23°45'24.49"N and from 60°53'57.97"E to 79°52'27.97"E. The data are in GeoTiff format, with a spatial resolution of 1 km. We then compared the data with the precipitation and soil water content observed by meteorological stations. Results showed that TVDI had a significantly negative correlation with SPI and SWC (p<0.001). The dataset can be used to support drought monitoring and prediction along CPEC.
Keywords: China–Pakistan Economic Corridor; temperature vegetation dryness index; land surface temperature; normalized differential vegetation index
|Title||A dataset of monthly temperature vegetation dryness index along the China–Pakistan Economic Corridor from 2000 – 2017|
|Data corresponding author||Zhang Yaonan (firstname.lastname@example.org)|
|Data authors||Feng Keting, Zhang Yaonan, Tian Deyu, Kang Jianfang|
|Time range||2000 – 2017|
|Geographical scope||The area is from 41°25′24.49″N to 23°45′24.49″N and from 60°53′57.97″E to 79°52′27.97″E.|
|Spatial resolution||1 km|
|Data volume||632 MB|
|Data service system||http://www.sciencedb.cn/dataSet/handle/640|
|Sources of funding||National R&D Infrastructure and Facility Development Program of China “National Special Environment and Function of Observation and Research Station Shared Service Platform” (Y719H71006);|
Information Program of the Chinese Academy of Sciences “Construction and Application of ‘Technology Cloud’ in Cold and Arid Regions Environment Evolution” (XXH13506).
|Dataset composition||The dataset consists of 216 files of monthly temperature vegetation dryness index data in total. The files are named in the format of TVDI.AYYYYDDD.1_km_month.tif.|
Released: Sept. 25, 2018 （ VersionsZH2）