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GIScience & Remote Sensing Volume 57, 2020 - Issue 8
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Research Article

Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine

Kewei Lia Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China;b University of Chinese Academy of Sciences, Beijing, ChinaView further author information
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Erqi Xua Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaCorrespondence[email protected]
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Pages 1026-1045 | Received 27 Jun 2020, Accepted 13 Oct 2020, Published online: 28 Oct 2020

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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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Hossein Shafizadeh-Moghadam, Morteza Khazaei, Seyed Kazem Alavipanah & Qihao Weng. (2021) Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors. GIScience & Remote Sensing 58:6, pages 914-928.
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Articles from other publishers (9)

Francesco N. Tubiello, Giulia Conchedda, Leon Casse, Pengyu Hao, Giorgia De Santis & Zhongxin Chen. (2023) A new cropland area database by country circa 2020. Earth System Science Data 15:11, pages 4997-5015.
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Suchen Xu, Wu Xiao, Chen Yu, Hang Chen & Yongzhong Tan. (2023) Mapping Cropland Abandonment in Mountainous Areas in China Using the Google Earth Engine Platform. Remote Sensing 15:4, pages 1145.
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Pedro Pérez-Cutillas, Alberto Pérez-Navarro, Carmelo Conesa-García, Demetrio Antonio Zema & Jesús Pilar Amado-Álvarez. (2023) What is going on within google earth engine? A systematic review and meta-analysis. Remote Sensing Applications: Society and Environment 29, pages 100907.
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Sheng Zhang, Yong Xue, Xiran Zhou, Xiaopeng Zhang, Wenhao Liu, Kaiyuan Li & Runze Liu. (2022) State of the Art: High-Performance and High-Throughput Computing for Remote Sensing Big Data. IEEE Geoscience and Remote Sensing Magazine 10:4, pages 125-149.
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Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Hani Ghasemi, Ebrahim Ghaderpour & Quazi K. Hassan. (2022) A New Clustering Method to Generate Training Samples for Supervised Monitoring of Long-Term Water Surface Dynamics Using Landsat Data through Google Earth Engine. Sustainability 14:13, pages 8046.
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Qi Jin, Erqi Xu & Xuqing Zhang. (2022) A Fusion Method for Multisource Land Cover Products Based on Superpixels and Statistical Extraction for Enhancing Resolution and Improving Accuracy. Remote Sensing 14:7, pages 1676.
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Huiqun Ren, Yu Liu, Xiaoyu Chang, Jie Yang, Xiao Xiao & Xin Huang. (2022) Mapping High-Resolution Global Impervious Surface Area: Status and Trends. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pages 1-21.
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Kewei Li & Erqi Xu. (2021) High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China. ISPRS Journal of Photogrammetry and Remote Sensing 179, pages 66-80.
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Keling Liu & Erqi Xu. (2021) Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia. Remote Sensing 13:2, pages 244.
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