ncdc logo title
ncdc_logo
Long term vegetation index dataset of the QinghaiLake River Basin – GIMMS
  • 2018/05/07 11:06
  • 2531
  • 6
English name
Long term vegetation index dataset of the QinghaiLake River Basin – GIMMS
CSTR
CSTR:11738.11.ncdc.Westdc.2020.315
Share type
Online
Category
Remote Sensing
Datasets description

GIMMS (global inventory modeling and mapping studies) NDVI data is the latest global vegetation index change data released by NASA c-j-tucker and others in November 2003.

The data set is a long-term GIMMS vegetation index data set of Qinghai Lake Basin, including the vegetation index changes from 1981 to 2006, with a time resolution of 15 days and a spatial resolution of 8km. GIMMS NDVI data used satellite data format to record vegetation changes in 22a region.

The naming rules of compressed files in NOAA / avhrr-ndvi dataset are yymmm15a (b). N < strong > - vig_data_envi.rar, where YY - year, mmm - abbreviated English month letter, 15A - first half month synthesis, 15b - second half month synthesis, and < / strong > - Satellite

Base information
collect time 1986/01/01  -  2006/12/31
collect place
data size 1.2 MB
data format
Coordinate system WGS84
Projection
Data thumbnail
Data source description

GIMMS (global inventory modeling and mapping studies) NDVI data is the latest global vegetation index change data released by NASA c-j-tucker and others in November 2003.

Data processing method

Raw data synthesis

Data quality description

Good data quality

Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.
In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are invited to use the data Students' research results (including published papers, treatises, data products and unpublished research reports, data products, etc.) shall be clearly indicated with data Source and data author. For data reprinted (secondary or multiple releases), the author must also indicate the source of the original data.

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
Wu lizong. Long term vegetation index dataset of the QinghaiLake River Basin – GIMMS. National glacial and frozen desert scientific data center(http://www.ncdc.ac.cn/), 2018.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 QinghaiLake_GIMMS.rar 428.3 kB
2 青海湖流域长时间序列GIMMS植被指数数据集-文档.rar 764.9 kB
No record.
loading
Download Favorites
east 101.45
west  97.52
south  36.17
north  38.42
Service information
contacts:
Li Hongxing
phone:
0931-4967287
mailbox:
westdc@lzb.ac.cn
Contact information
contributors:
Wu lizong
author:
Wu lizong
manager:
Li hongxing

©Copyright 2005-2020. Northwest Institute of Eco-Environment and Resources, CAS.

Donggang West Road 320, Lanzhou, Gansu, China (730000)