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Geo-spatial Information Science Volume 25, 2022 - Issue 3
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Research Article

Deep learning-based local climate zone classification using Sentinel-1 SAR and Sentinel-2 multispectral imagery

Lin Zhoua School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0002-1039-2672View further author information
ORCID Icon,
Zhenfeng Shaob State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4587-6826View further author information
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Shugen Wanga School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
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Xiao Huangc Department of Geosciences, University of Arkansas, Fayetteville, NC, USAORCID Iconhttps://orcid.org/0000-0002-4323-382XView further author information
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Pages 383-398 | Received 02 Jun 2021, Accepted 13 Jan 2022, Published online: 15 Feb 2022

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Ting Bai, Le Wang, Dameng Yin, Kaimin Sun, Yepei Chen, Wenzhuo Li & Deren Li. (2023) Deep learning for change detection in remote sensing: a review. Geo-spatial Information Science 26:3, pages 262-288.
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Neena M. Gopi & Shoba Periasamy. (2023) Appraising the crop health response to water stress from enhanced crop and soil water estimates using SAR data and machine learning approaches. International Journal of Remote Sensing 44:13, pages 4190-4216.
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Wenzhi Zhang, Hongyuan Huo, Xiaowei Geng, Ping Zhou, Li Guo & Zhao-Liang Li. (2023) Simulation of canopy urban heat island at a block scale based on local climate zones and urban weather generator: a case study of Beijing. International Journal of Remote Sensing 0:0, pages 1-25.
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Jihong Cai & Yimin Chen. (2022) A novel unsupervised deep learning method for the generalization of urban form. Geo-spatial Information Science 25:4, pages 568-587.
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Articles from other publishers (4)

Sangman Jo, Hakyang Kong, Nakhoon Choi, Youngkyu Shin & Sookuk Park. (2023) Comparison of the Thermal Environment by Local Climate Zones in Summer: A Case Study in Suwon, Republic of Korea. Sustainability 15:3, pages 2620.
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Guangjun He, Zhe Dong, Jian Guan, Pengming Feng, Shichao Jin & Xueliang Zhang. (2023) SAR and Multi-Spectral Data Fusion for Local Climate Zone Classification with Multi-Branch Convolutional Neural Network. Remote Sensing 15:2, pages 434.
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Wenyun Feng & Jianjun Liu. (2022) A Literature Survey of Local Climate Zone Classification: Status, Application, and Prospect. Buildings 12:10, pages 1693.
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Siying Cui, Xuhong Wang, Xia Yang, Lifa Hu, Ziqi Jiang & Zihao Feng. (2022) Mapping Local Climate Zones in the Urban Environment: The Optimal Combination of Data Source and Classifier. Sensors 22:17, pages 6407.
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