Code and test data underlying: Near Real-time Prediction of Crop Vegetation Index Time Series during the Entire Growth Period Using Crop Reference Curves
DOI:10.4121/1628907b-25ac-4138-88aa-4285d3af6df3.v1
        
    
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DOI: 10.4121/1628907b-25ac-4138-88aa-4285d3af6df3
    DOI: 10.4121/1628907b-25ac-4138-88aa-4285d3af6df3
Datacite citation style
Sun, Zheng (2025): Code and test data underlying: Near Real-time Prediction of Crop Vegetation Index Time Series during the Entire Growth Period Using Crop Reference Curves. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1628907b-25ac-4138-88aa-4285d3af6df3.v1
        Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
    Dataset
Licence CC BY 4.0
Interoperability
This is the original code and test data, which can be used for vegetation index prediction based on crop reference curves
History
- 2025-05-23 first online, published, posted
Publisher
4TU.ResearchDataFormat
*.pro; *.tiffOrganizations
State Key Laboratory of Efficient Utilization of Arable Land in China, The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural SciencesDATA
Files (3)
- 877 bytesMD5:296e1ce985cb7b640c5537c51b5e7c24README.txt
- 19,333 bytesMD5:c026c11dd1b1674c39afd09c149bf40ecurve_fitting_reconstruction.pro
- 752,474,488 bytesMD5:9dc279f3dc173f3df840d638c280adb7vi_reconstruction20230528HBMODIS2020_testdata.zip
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