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Monthly temperature vegetation drought index data set of China Pakistan Economic Corridor (2000-2017)
  • 2021/11/01 18:56
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English name
Monthly temperature vegetation drought index data set of China Pakistan Economic Corridor (2000-2017)
CSTR
CSTR:11738.11.ncdc.nieer.2020.1324
DOI
10.12072/ncdc.NIEER.db0122.2021
Share type
Online
Category
Ecology
source site
Platform service center
contributors
Zhang yaonan , Feng keting , Tian deyu
Datasets description

Soil moisture content is an important index of drought monitoring, and temperature vegetation drought index can monitor drought by retrieving surface soil moisture. This data set is based on MODIS vegetation index and surface temperature products, combined with SRTM DEM data, using ndvi-lst feature space characteristics, extracting the dry and wet edge of the feature space, and obtaining the monthly temperature vegetation drought index data set of "China Pakistan Economic Corridor" in 2000-2017. The spatial range of this data set is 41 ° 25'24.49 "～ 23 ° 45'24.49" north latitude, 60 ° 53'57.97 "～ 79 ° 52'27.97" east longitude. The data format is GeoTIFF and the spatial resolution is 1km. The data set is composed of 216 data files. The data file is the monthly temperature vegetation drought index data. The file name is tvdi.ayyyddd.1 ﹐ km ﹐ month.tif. This data set can provide basic data and scientific and technological support for drought disaster monitoring of "China Pakistan Economic Corridor".

Base information
collect time 2000/01/01  -  2017/12/31
collect place China's Kashgar region and surrounding areas and Pakistan
data size 583.8 MiB
data format tif
Coordinate system WGS84
Data thumbnail
Data source description

The data used in this data set are MODIS vegetation index product mod13a3 and surface temperature product mod11a2, SRTM DEM products, as well as observation precipitation data and soil moisture data of meteorological stations, among which MODIS data is from NASA LP DAAC data center (https://lpdaac.usgs.gov); digital elevation model (DEM) data is from geospatial data cloud (www.csdata. ORG) SRTM data set provided; precipitation and soil moisture data are from the national meteorological data sharing service platform (https://data.cma.cn).

Data processing method

The MRT batch processing tool is used for data splicing, projection conversion, band extraction and resampling to obtain NDVI, surface temperature and relevant quality control data. Using ArcGIS tools, DEM data are spliced, resampled and cropped. In the production process of this data set, the spatial reconstruction method is used.

Data quality description

Compared with the observed precipitation and soil moisture data of meteorological station, the product has a negative correlation with SPI and soil moisture, and the correlation is good.

Citations and annotations
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In order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, works, data products and unpublished research reports, data products and other results) produced by using the resources. Users can use ArcGIS, ENVI and other commonly used GIS and remote sensing software in data reading and operation.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. Zhang yaonan, Feng keting, Tian deyu. Monthly temperature vegetation drought index data set of China Pakistan Economic Corridor (2000-2017). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2018. https://cstr.cn/CSTR:11738.11.ncdc.nieer.2020.1324.
  2. Zhang yaonan, Feng keting, Tian deyu. Monthly temperature vegetation drought index data set of China Pakistan Economic Corridor (2000-2017). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2018. https://www.doi.org/10.12072/ncdc.NIEER.db0122.2021.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 中巴经济走廊2000-2017年逐月温度植被干旱指数数据集.rar 583.8 MiB
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How to get the data 
east  79.87
west  60.87
south  23.75
north  41.42
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Service information
contacts:
Feng Ke Ting
phone:
0931-4967590
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
Zhang yaonan , Feng keting , Tian deyu
author:
Feng keting
manager:
Feng keting

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