Object-Based vs. Pixel-Based Classification of Mangrove Forest Mapping in Vien An Dong Commune, Ngoc Hien District, Ca Mau Province Using VNREDSat-1 Images

Advances in Remote Sensing

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ISSN Online: 2169-2688
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"Object-Based vs. Pixel-Based Classification of Mangrove Forest Mapping in Vien An Dong Commune, Ngoc Hien District, Ca Mau Province Using VNREDSat-1 Images"
written by Nguyen Thi Quynh Trang, Le Quang Toan, Tong Thi Huyen Ai, Nguyen Vu Giang, Pham Viet Hoa,
published by Advances in Remote Sensing, Vol.5 No.4, 2016

has been cited by the following article(s):

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[1]	Quantification of active layer depth at multiple scales in Interior Alaska permafrost Environmental Research Letters, 2024 DOI:10.1088/1748-9326/ad264b

[2]	Integrating UAV-Derived Information and WorldView-3 Imagery for Mapping Wetland Plants in the Old Woman Creek Estuary, USA Remote Sensing, 2023 DOI:10.3390/rs15041090

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[6]	Spatial-temporal dynamics of mangrove extent in Quang Ninh Province over 33 years (1987–2020): Implications toward mangrove management in Vietnam Regional Studies in Marine Science, 2022 DOI:10.1016/j.rsma.2022.102212

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[9]	Assessment of Pleiades Satellite Image for Mangrove Family Classification IOP Conference Series: Earth and Environmental Science, 2021 DOI:10.1088/1755-1315/620/1/012009

[10]	Mangroves of Vietnam: Historical development, current state of research and future threats Estuarine, Coastal and Shelf Science, 2019 DOI:10.1016/j.ecss.2018.12.021

[11]	Automating field boundary delineation with multi-temporal Sentinel-2 imagery Computers and Electronics in Agriculture, 2019 DOI:10.1016/j.compag.2019.105078

[12]	Coastal wetland classification with multiseasonal high-spatial resolution satellite imagery International Journal of Remote Sensing, 2018 DOI:10.1080/01431161.2018.1500731

[13]	Detection of coastal wetland change in China: a case study in Hangzhou Bay Wetlands Ecology and Management, 2018 DOI:10.1007/s11273-018-9646-3

[14]	Mapping Torreya grandis Spatial Distribution Using High Spatial Resolution Satellite Imagery with the Expert Rules-Based Approach Remote Sensing, 2017 DOI:10.3390/rs9060564

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