Thick cloud removal in Landsat images based on autoregression of Landsat time-series data-Reference-Cited by-同舟云学术

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Thick cloud removal in Landsat images based on autoregression of Landsat time-series data

Published:2020-11 Issue: Volume:249 Page:112001
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Cao Ruyin^ORCID,Chen Yang,Chen Jin,Zhu Xiaolin,Shen Miaogen

Funder

2nd Scientific Expedition to the Qinghai-Tibet Plateau

National Natural Science Foundation of China

Notch Young Talents Program of China

Key Research Program of Frontier Sciences of the Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference33 articles.

1. 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

2. A simple and effective method for filling gaps in Landsat ETM+ SLC-off images;Chen;Remote Sens. Environ.,2011

3. Spatially and temporally weighted regression: a novel method to produce continuous cloud-free Landsat imagery;Chen;IEEE Trans. Geosci. Remote Sens.,2017

4. A new cross-fusion method to automatically determine the optimal input image pairs for NDVI spatiotemporal data fusion;Chen;IEEE Trans. Geosci. Remote Sens.,2020

5. On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance;Gao;IEEE Trans. Geosci. Remote Sens.,2006

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