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GIScience & Remote Sensing Volume 60, 2023 - Issue 1
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Research Article

Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC)

Yunze Zanga State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China;b Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
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Yuean Qiua State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China;b Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
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Xuehong Chena State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China;b Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaCorrespondence[email protected]
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Jin Chena State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China;b Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
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Wei Yangc Center for Environmental Remote Sensing, Chiba University, Chiba, JapanView further author information
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Yifei Liua State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China;b Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
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Longkang Penga State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China;b Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
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Miaogen Shend Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
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Xin Caoa State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China;b Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
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Article: 2163576 | Received 09 Jun 2022, Accepted 24 Dec 2022, Published online: 10 Jan 2023

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Read on this site (1)

Yang Qichi, Wang Lihui, Huang Jinliang, Liu Linzhi, Li Xiaodong, Xiao Fei, Du Yun, Yan Xue & Ling Feng. (2023) A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine. GIScience & Remote Sensing 60:1.
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Articles from other publishers (3)

Zhenxing Wang, Dong Liu & Min Wang. (2023) Mapping Main Grain Crops and Change Analysis in the West Liaohe River Basin with Limited Samples Based on Google Earth Engine. Remote Sensing 15:23, pages 5515.
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Huihui Wang, Jinyan Zhan, Chao Wang, Oleg Anatolyevich Blinov, Michael Asiedu Kumi, Wei Liu, Xi Chu, Yanmin Teng, Huizi Liu, Zheng Yang & Chunyue Bai. (2023) Integrating Agricultural and Ecotourism Development: A Crop Cultivation Suitability Framework Considering Tourists’ Landscape Preferences in Qinghai Province, China. Remote Sensing 15:19, pages 4685.
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Xiaoli Fu, Wenzuo Zhou, Xinyao Zhou & Yichen Hu. (2023) Crop Mapping and Spatio–Temporal Analysis in Valley Areas Using Object-Oriented Machine Learning Methods Combined with Feature Optimization. Agronomy 13:10, pages 2467.
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