Monthly temperature vegetation drought index data set of China Pakistan Economic Corridor (2000-2017)

English name

CSTR

CSTR:11738.11.ncdc.nieer.2020.1324

DOI

10.12072/ncdc.NIEER.db0122.2021

Share type

Category

Ecology

contributors

Feng keting , Zhang Yaonan , 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
Data spatial resolution (/ M)	1000.0m
Data time resolution	month
Coordinate system	WGS84

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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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

Feng keting, Zhang Yaonan, 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), 2021. https://cstr.cn/CSTR:11738.11.ncdc.nieer.2020.1324.
Feng keting, Zhang Yaonan, 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), 2021. https://www.doi.org/10.12072/ncdc.NIEER.db0122.2021.

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license agreement

This work is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International License).

Relevant data
File list

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4	NASA GIMMS NDVI data set of China Pakistan Economic Corridor (1981-2015)
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7	Permafrost distribution data set of China—Pakistan Economic Corridor (2016)
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#	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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Theme:
Temperature Vegetation Drought Index Land Surface Temperature China-Pakistan Economic Corridor Normalized Vegetation Index
Subject:
physical geography
Time:
2000 2017
Place:
Kashgar China and its surrounding areas

east 79.87

west 60.87

south 23.75

north 41.42

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Contact information

contributors:: Feng keting , Zhang Yaonan , Tian deyu
author:: Feng keting
manager:: Feng keting

Platform Service information

contacts:: Li Hongxing
phone:: 0931-4967592
mailbox:: ncdc@lzb.ac.cn