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International Journal of Geographical Information Science Volume 32, 2018 - Issue 4
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Research Article

Combining land cover products using a minimum divergence and a Bayesian data fusion approach

Sarah GenglerEarth and Life Institute, Environmental Sciences, Université catholique de Louvain, Louvain-la-Neuve, BelgiumCorrespondence[email protected]
&
Patrick BogaertEarth and Life Institute, Environmental Sciences, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Pages 806-826 | Received 24 May 2017, Accepted 02 Dec 2017, Published online: 11 Dec 2017

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Kewei Li & Erqi Xu. (2020) Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine. GIScience & Remote Sensing 57:8, pages 1026-1045.
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Articles from other publishers (10)

Bingjie Li, Xiaocong Xu, Xiaoping Liu, Qian Shi, Haoming Zhuang, Yaotong Cai & Da He. (2023) An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach. Earth System Science Data 15:6, pages 2347-2373.
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Yue Wan, Jingxiong Zhang, Wangle Zhang, Ying Zhang, Wenjing Yang, Jianxu Wang, Okafor Somtoochukwu Chukwunonso & Asurapplullige Milani Tharuka Nadeeka. (2023) Characterizing Uncertainty and Enhancing Utility in Remotely Sensed Land Cover Using Error Matrices Localized in Canonical Correspondence Analysis Ordination Space. Remote Sensing 15:5, pages 1367.
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Wangle Zhang, Jiwen Wang, Hate Lin, Ming Cong, Yue Wan & Jingxiong Zhang. (2023) Fusing Multiple Land Cover Products Based on Locally Estimated Map-Reference Cover Type Transition Probabilities. Remote Sensing 15:2, pages 481.
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Yassir Benhammou, Domingo Alcaraz-Segura, Emilio Guirado, Rohaifa Khaldi, Boujemâa Achchab, Francisco Herrera & Siham Tabik. (2022) Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning. Scientific Data 9:1.
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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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Rohaifa Khaldi, Domingo Alcaraz-Segura, Emilio Guirado, Yassir Benhammou, Abdellatif El Afia, Francisco Herrera & Siham Tabik. (2022) TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning. Earth System Science Data 14:3, pages 1377-1411.
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Yousef Alipouri, Reza Rafati Bonab & Lexuan Zhong. (2021) Sensor fusion with high‐order moments constraints using projection‐based neural network. IET Signal Processing 15:8, pages 500-509.
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A. Pérez-Hoyos, A. Udías & F. Rembold. (2020) Integrating multiple land cover maps through a multi-criteria analysis to improve agricultural monitoring in Africa. International Journal of Applied Earth Observation and Geoinformation 88, pages 102064.
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François Waldner, Nicolas Bellemans, Zvi Hochman, Terence Newby, Diego de Abelleyra, Santiago R. Verón, Sergey Bartalev, Mykola Lavreniuk, Nataliia Kussul, Guerric Le Maire, Margareth Simoes, Sergii Skakun & Pierre Defourny. (2019) Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. International Journal of Applied Earth Observation and Geoinformation 80, pages 82-93.
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Yanfei Zhong, Chang Luo, Xin Hu, Lifei Wei, Xinyu Wang & Shuying Jin. (2019) Cropland Product Fusion Method Based on the Overall Consistency Difference: A Case Study of China. Remote Sensing 11:9, pages 1065.
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