The MODIS remote sensing vegetation phenology at returning green stage in spring（2001-2014）- A Big Earth Data Platform for Three Poles

This dataset is based on the sixth edition of the MODIS normalized difference vegetation index product (2001-2014) jointly released by NASA EOSDIS LP DAAC and the US Geological Survey USGS EROS. The NDVI has a time resolution of 16 days and a spatial resolution of 0.05 degree. First,the NDVI data products were re-sampled from the spatial resolution of 0.05 degree to 0.5 degree, then the time series of every year was smoothed by the double-logistic method, and the smoothed curvature was calculated. The maximum curvature of spring was selected as the returning green stage of the vegetation in Spring. This data can be used to analyze the temporal and spatial characteristics of the Holarctic vegetation phenology in Spring.

File naming and required software

NDVI name_variable name_time span
The format of the data is netcdf.

Data Citations Data citation guideline What's data citation?

Cite as:

NASA EOSDIS LP DAAC., Xu, X. (2019). The MODIS remote sensing vegetation phenology at returning green stage in spring（2001-2014）. A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Related Literatures:

1. Xu, X., W. J. Riley, C. D. Koven, G. Jia, 2018: Spring phenology and phenology-climate links inferred from two remotely sensed vegetation indices across regions and biomes. Biogeosciences Discussions, doi:10.5194/bg-2018-257.( View Details | Bibtex)

2. Xu, X.Y, Riley, W., Koven, C.D., & Jia, G.S. (2018). Observed and simulated sensitivities of spring greenup to preseason climate in northern temperate and boreal regions. Journal of Geophysical Research: Biogeosciences, 123(1), 60-78.( 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)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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