Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion-Reference-Cited by-同舟云学术

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Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion

Published:2021-10 Issue: Volume:264 Page:112632
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Chu Dong,Shen Huanfeng,Guan Xiaobin,Chen Jing M.,Li Xinghua,Li Jie,Zhang Liangpei

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference57 articles.

1. A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America;Atzberger;Int. J. Digit. Earth,2011

2. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI;Beck;Remote Sens. Environ.,2006

3. Exact matrix completion via convex optimization;Candès;Found. Comput. Math.,2009

4. An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data;Cao;Agric. For. Meteorol.,2015

5. A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter;Cao;Remote Sens. Environ.,2018

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