Global GIMMS NDVI3g v1 dataset (1981-2015)

Global GIMMS NDVI3g v1 dataset (1981-2015)


The NDVI data set is the latest release of the long sequence (1981-2015) normalized difference vegetation index product of NOAA Global Inventory Monitoring and Modeling System (GIMMS), version number 3g.v1.

The temporal resolution of the product is twice a month, while the spatial resolution is 1/12 of a degree. The temporal coverage is from July 1981 to December 2015. This product is a shared data product and can be downloaded directly from ecocast.arc.nasa.gov.

For details, please refer to https://nex.nasa.gov/nex/projects/1349/.


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Cite as:

The National Center for Atmospheric Research. (2018). 全球1/12度 AVHRR GIMMS 均一化植被指数(1981-2015). A Big Earth Data Platform for Three Poles, (Download the reference: RIS | Bibtex )

Related Literatures:

1. Pinzon, J.E., Tucker, C.J. (2014). A Non-Stationary 1981-2012 AVHRR NDVI3g Time Series. Remote Sens. 6, 6929-6960.( View Details | Bibtex)

2. Tucker, C.J., Pinzon, J.E., Brown, M.E., Slayback, D.A., Pak, E.W., Mahoney, R., Vermote, E.F., Saleous, N. (2005). An extended AVHRR-8km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int. J. Remote Sens. 26, 4485–4498.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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FTP Download Info

Ftp server: 210.72.14.198

Ftp username: download_292468

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Geographic coverage
East: -180.00 West: 180.00
South: -90.00 North: 90.00
Details
  • Temporal resolution: Yearly
  • File size: 287,900 MB
  • Views: 9,396
  • Downloads: 217
  • Access: Open Access
  • Temporal coverage: 1981-08-03 To 2016-01-22
  • Updated time: 2021-04-19
Contacts
: The National Center for Atmospheric Research  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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