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Big Earth Data Volume 2, 2018 - Issue 1
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Research Articles

Generation of ready to use (RTU) products over China based on Landsat series data

Guojin HeInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, ChinaCorrespondence[email protected]
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Zhaoming ZhangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, ChinaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-8779-2738
ORCID Icon,
Weili JiaoInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
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Tengfei LongInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
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Yan PengInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
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Guizhou WangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
,
Ranyu YinInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
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Wei WangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
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Xiaomei ZhangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
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Huichan LiuInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
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Bo ChengInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
&
Bo XiangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Hainan Key Laboratory of Earth Observation, Sanya, China;Sanya Institute of Remote Sensing, Sanya, China
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Pages 56-64 | Received 07 Jan 2018, Accepted 23 Jan 2018, Published online: 13 Feb 2018

Citations (14)

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Read on this site (1)

Wei Jiang, Guojin He, Zhiguo Pang, Hongxiang Guo, Tengfei Long & Yuan Ni. (2020) Surface water map of China for 2015 (SWMC-2015) derived from Landsat 8 satellite imagery. Remote Sensing Letters 11:3, pages 265-273.
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Articles from other publishers (13)

G. Sai Geethika, V. Sai Sreeja, T. Tharuni & V. Radhesyam. 2024. High Performance Computing, Smart Devices and Networks. High Performance Computing, Smart Devices and Networks 337 349 .
Fangzhou Hong, Guojin He, Guizhou Wang, Zhaoming Zhang & Yan Peng. (2023) Monitoring of Land Cover and Vegetation Changes in Juhugeng Coal Mining Area Based on Multi-Source Remote Sensing Data. Remote Sensing 15:13, pages 3439.
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Kaiyuan Zheng, Guojin He, Ranyu Yin, Guizhou Wang & Tengfei Long. (2023) A Comparison of Seven Medium Resolution Impervious Surface Products on the Qinghai–Tibet Plateau, China from a User’s Perspective. Remote Sensing 15:9, pages 2366.
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Xiangxiang Zheng, Lingyi Han, Guojin He, Ning Wang, Guizhou Wang & Lei Feng. (2023) Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China. Remote Sensing 15:4, pages 1084.
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Mengmeng Wang, Can He, Zhengjia Zhang, Tian Hu, Si-Bo Duan, Kaniska Mallick, Hua Li & Xiuguo Liu. (2023) Evaluation of Three Land Surface Temperature Products From Landsat Series Using in Situ Measurements. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-19.
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Donghang Wu, Weiquan Liu, Bowen Fang, Linwei Chen, Yu Zang, Lei Zhao, Shenlong Wang, Cheng Wang, Jose Marcato & Jonathan Li. (2022) Intracity Temperature Estimation by Physics Informed Neural Network Using Modeled Forcing Meteorology and Multispectral Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-15.
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Hui-chan Liu, Guo-jin He, Yan Peng, Gui-zhou Wang & Ran-yu Yin. (2021) Dynamic monitoring of surface water in the Tibetan Plateau from 1980s to 2019 based on satellite remote sensing images. Journal of Mountain Science 18:11, pages 2833-2841.
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Arif UR Rehman, Sami Ullah, Qijing Liu & Muhammad Sadiq Khan. (2021) Comparing different space-borne sensors and methods for the retrieval of land surface temperature. Earth Science Informatics 14:2, pages 985-995.
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Davide Fornacca, Guopeng Ren & Wen Xiao. (2021) Small fires, frequent clouds, rugged terrain and no training data: a methodology to reconstruct fire history in complex landscapes. International Journal of Wildland Fire 30:2, pages 125.
Crossref
Wei Jiang, Guojin He, Zhiguo Pang, Tengfei Long, JUNE Fu, Hongxiang Guo & Yuan Ni. (2020) Verification and analysis of surface water in China based on Landsat8 OLI images. IOP Conference Series: Earth and Environmental Science 502:1, pages 012030.
Crossref
Mengmeng Wang, Zhengjia Zhang, Tian Hu, Guizhou Wang, Guojin He, Zhaoming Zhang, Hua Li, Zhijie Wu & Xiuguo Liu. (2020) An Efficient Framework for Producing Landsat-Based Land Surface Temperature Data Using Google Earth Engine. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 4689-4701.
Crossref
Zhen Liu, Tim Foresman, John van Genderen & Lizhe Wang. 2020. Manual of Digital Earth. Manual of Digital Earth 1 21 .
Guojin He, Guizhou Wang, Tengfei Long, Huichan Liu, Weili Jiao, Wei Jiang, Ranyu Yin, Zhaoming Zhang, Wanchun Leng, Yan Peng, Xiaomei Zhang & Bo Cheng. 2019. Big Scientific Data Management. Big Scientific Data Management 16 31 .

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