Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method

Rui Yaoa School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People’s Republic of ChinaCorrespondence[email protected]
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Yongjun Zhanga School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People’s Republic of ChinaView further author information

Lunche Wangb Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People’s Republic of China;c Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan, People’s Republic of ChinaView further author information

Jiayi Lia School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People’s Republic of ChinaView further author information

Qiquan Yangd College of Surveying and Geo-Informatics, Tongji University, Shanghai, People’s Republic of China;e State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau, People’s Republic of ChinaView further author information

Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method

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Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method

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