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Research Article

Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data

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Pages 1072-1089 | Received 27 Apr 2021, Accepted 02 Aug 2021, Published online: 20 Sep 2021

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Yalan Wang, Giles Foody, Xiaodong Li, Yihang Zhang, Pu Zhou & Yun Du. (2023) Regression-based surface water fraction mapping using a synthetic spectral library for monitoring small water bodies. GIScience & Remote Sensing 60:1.
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Xiaoya Wang, Weiguo Jiang, Kaifeng Peng, Zhuo Li & Pinzeng Rao. (2022) A framework for fine classification of urban wetlands based on random forest and knowledge rules: taking the wetland cities of Haikou and Yinchuan as examples. GIScience & Remote Sensing 59:1, pages 2144-2163.
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Articles from other publishers (11)

Alex Okiemute Onojeghuo & Ajoke Ruth Onojeghuo. (2023) Wetlands Mapping with Deep ResU-Net CNN and Open-Access Multisensor and Multitemporal Satellite Data in Alberta’s Parkland and Grassland Region. Remote Sensing in Earth Systems Sciences 6:1-2, pages 22-37.
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Uma Chinta & Adham Atyabi. (2023) A Framework Pipeline to Address Imbalanced Class Distribution Problem in Real-world Datasets. A Framework Pipeline to Address Imbalanced Class Distribution Problem in Real-world Datasets.
Seyd Teymoor Seydi, Yousef Kanani-Sadat, Mahdi Hasanlou, Roya Sahraei, Jocelyn Chanussot & Meisam Amani. (2022) Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping. Remote Sensing 15:1, pages 192.
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Shitij Govil, Aidan Joshua Lee, Aiden Connor MacQueen, Narcisa Gabriela Pricope, Asami Minei & Cuixian Chen. (2022) Using Hyperspatial LiDAR and Multispectral Imaging to Identify Coastal Wetlands Using Gradient Boosting Methods. Remote Sensing 14:23, pages 6002.
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Ali Jamali, Fariba Mohammadimanesh & Masoud Mahdianpari. (2022) Wetland Classification with Swin Transformer Using Sentinel-1 and Sentinel-2 Data. Wetland Classification with Swin Transformer Using Sentinel-1 and Sentinel-2 Data.
Ali Jamali & Masoud Mahdianpari. (2022) Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data. Remote Sensing 14:2, pages 359.
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Ali Jamali & Masoud Mahdianpari. (2022) Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery. Water 14:2, pages 178.
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Ali Jamali, Masoud Mahdianpari, Fariba Mohammadimanesh, Brian Brisco & Bahram Salehi. (2022) 3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 8095-8108.
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Hamid Jafarzadeh, Masoud Mahdianpari & Eric W. Gill. (2022) Wet-GC: A Novel Multimodel Graph Convolutional Approach for Wetland Classification Using Sentinel-1 and 2 Imagery With Limited Training Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 5303-5316.
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Ali Jamali & İsmail Rakıp Karas. 2022. Environmental Degradation in Asia. Environmental Degradation in Asia 3 16 .
Ali Jamali, Masoud Mahdianpari, Fariba Mohammadimanesh, Brian Brisco & Bahram Salehi. (2021) A Synergic Use of Sentinel-1 and Sentinel-2 Imagery for Complex Wetland Classification Using Generative Adversarial Network (GAN) Scheme. Water 13:24, pages 3601.
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