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International Journal of Remote Sensing Volume 39, 2018 - Issue 10
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Articles

Spatiotemporal fusion through the best linear unbiased estimator to generate fine spatial resolution NDVI time series

Gaofei YinResearch Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, ChinaView further author information
,
Ainong LiResearch Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, ChinaCorrespondence[email protected]
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,
Huaan JinResearch Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, ChinaView further author information
&
Jinhu BianResearch Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, ChinaView further author information
Pages 3287-3305 | Received 21 Jun 2017, Accepted 01 Feb 2018, Published online: 15 Feb 2018

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Firat Erdem & Ugur Avdan. (2023) STFRDN: a residual dense network for remote sensing image spatiotemporal fusion. International Journal of Remote Sensing 44:10, pages 3259-3277.
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Articles from other publishers (4)

Juan Xiao, Ashwani Kumar Aggarwal, Nguyen Hong Duc, Abhinandan Arya, Uday Kiran Rage & Ram Avtar. (2023) A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends. Remote Sensing Applications: Society and Environment 32, pages 101005.
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Jun Li, Yunfei Li, Lin He, Jin Chen & Antonio Plaza. (2020) Spatio-temporal fusion for remote sensing data: an overview and new benchmark. Science China Information Sciences 63:4.
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Hongcan Guan, Yanjun Su, Tianyu Hu, Jin Chen & Qinghua Guo. (2019) An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications. Remote Sensing 11:24, pages 2927.
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Gaofei Yin, Ainong Li, Chaoyang Wu, Jiyan Wang, Qiaoyun Xie, Zhengjian Zhang, Xi Nan, Huaan Jin, Jinhu Bian & Guangbin Lei. (2018) Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance. ISPRS International Journal of Geo-Information 7:7, pages 242.
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