HiWATER: 1km/5day compositing vegetation index (NDVI/EVI) product of the Heihe River Basin (2011-2014)

HiWATER: 1km/5day compositing vegetation index (NDVI/EVI) product of the Heihe River Basin (2011-2014)


The 1km / 5day vegetation index (NDVI / EVI) data set of Heihe River basin provides a 5-day resolution NDVI / EVI composite product from 2011 to 2014. The data uses the characteristics of FY-3 data, a domestic satellite, with high time resolution (1 day) and spatial resolution (1km), to construct a multi angle observation data set, which is the basis for analyzing multi-source data sets and existing composite vegetation index products and algorithms On the basis of this, an algorithm system of global composite vegetation index production based on multi-source data set is proposed. The vegetation index synthesis algorithm of MODIS is basically adopted, that is, the algorithm system of BRDF angle normalization method, cv-mvc method and MVC method based on the semi empirical walthal model. Using the algorithm system, the composite vegetation index is calculated for the first level data and the second level data, and the quality is identified. Multi-source data sets can provide more angles and more observations than a single sensor in a limited time. However, due to the difference of on orbit running time and performance of sensors, the observation quality of multi-source data sets is uneven. Therefore, in order to make more effective use of multi-source data sets, the algorithm system first classifies the quality of multi-source data sets, which can be divided into primary data, secondary data and tertiary data according to the observation rationality. The third level data are observations polluted by thin clouds and are not used for calculation. In the middle reaches of Heihe River, the verification results of farmland and forest areas show that the NDVI / EVI composite results of combined multi temporal and multi angle observation data are in good agreement with the ground measured data (RMSE = 0.105). Compared with the time series of MODIS mod13a2 product, it fully shows that when the time resolution is increased from 16 days to 5 days, a stable and high-precision vegetation index can describe the details of vegetation growth in detail. In a word, the NDVI / EVI data set of Heihe River Basin, which is 1km / 5day, comprehensively uses multi temporal and multi angle observation data to improve the estimation accuracy and time resolution of parameter products and better serves the application of remote sensing data products.


Data Citations Data citation guideline What's data citation?
Cite as:

Li, J., Liu, Q., Zhong, B., Yang, A. (2016). HiWATER: 1km/5day compositing vegetation index (NDVI/EVI) product of the Heihe River Basin (2011-2014). National Tibetan Plateau Data Center, DOI: 10.3972/hiwater.289.2016.db. CSTR: 18406.11.hiwater.289.2016.db. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Li, X., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. (2017). A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 4, 170083. doi:10.1038/sdata.2017.83.( View Details | Download | Bibtex)

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


References literature

1.Li, X., Cheng, G.D., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Liu, Q.H., Wang, W.Z., Qi, Y., Wen, J.G., Li, H.Y., Zhu, G.F., Guo, J.W., Ran, Y.H., Wang, S.G., Zhu, Z.L., Zhou, J., Hu, X.L., & Xu, Z.W. (2013). Heihe watershed allied telemetry experimental research (hiwater): scientific objectives and experimental design. Bulletin of the American Meteorological Society, 94(8), 1145-1160. doi:10.1175/BAMS-D-12-00154.1. (View Details )

2.Long, X., Li, J., Liu, Q. (2013). Review on VI Compositing Algorithm. Remote Sensing Technology and Application, 28(6), 969–977. (View Details | Download )

3.Li, X., Liu, S.M., Ma, M.G., Xiao, Q., Liu, Q.H., & Jin, R., et al. (2012). (2012). Hiwater:an integrated remote sensing experiment on hydrological and ecological processes in the heihe river basin. Advances in Earth Science, 27(5), 481-498. (View Details | Download )

4.Long, X. (2013). Study on Vegetation Compositing Algorithm from Multi-sensor Remote Sensing Data. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China. (View Details | Download )


Support Program

The CAS (Chinese Academy of Sciences) Action Plan for West Development Project (No:KZCX2-XB3-15)

National High-tech R&D Program of China (863 Program) (No:2012AA12A304)

National High-tech R&D Program of China (863 Program) (No:2013AA12A301)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

FTP Download Info

Ftp server: 210.72.14.198

Ftp username: download_028872

Ftp password: 13096207

Download Follow
Keywords
Geographic coverage
East: 101.80 West: 97.80
South: 37.30 North: 42.10
Details
  • File size: 65 MB
  • Views: 8,555
  • Downloads: 60
  • Access: Open Access
  • Temporal coverage: 2011-01-10 To 2015-01-09
  • Updated time: 2021-04-19
Contacts
: LI Jing   LIU Qinhuo   ZHONG Bo   YANG Aixia  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

Export metadata