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

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

Google-based Impact Factor: 1.5
Citations h5-index & Ranking*

Journals Menu

"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):

Google Scholar
CrossRef

[1]	The Identification of Irrigated Crop Types Using Support Vector Machine, Random Forest and Maximum Likelihood Classification Methods with Sentinel-2 Data …
	International Journal of …, 2022

[2]	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

[3]	Identification of landslide-prone zones using a GIS-based multi-criteria decision analysis and region-growing algorithm in uncertain conditions
	Natural Hazards, 2022

[4]	Comparison of machine learning algorithms for mangrove species identification in Malad creek, Mumbai using WorldView-2 and Google Earth images
	Journal of Coastal …, 2022

[5]	Image processing and Supervised Classification of LANDSAT data for Flood Impact Assessment on Land Use and Land Cover
	2022 2nd International Conference …, 2022

[6]	Shadow-Based Automatic Building Height Estimation From High Spatial Resolution Satellite Imagery
	2022

[7]	A Deep Learning Approach for Building Segmentation in Taiwan Agricultural Area Using High Resolution Satellite Imagery
	Journal of Photogrammetry and Remote …, 2022

[8]	Study of system trade-offs in 'on-chip'hyperspectral imaging for industrial applications
	2021

[9]	Study of system trade-offs in “on-chip” hyperspectral imaging for industrial applications
	2021

[10]	Assessment of Pleiades Satellite Image for Mangrove Family Classification
	2021

[11]	Synergistic Use of Microwave and Optical Satellite Data for Monsoon Cropland Mapping in India
	2020

[12]	Object-based land use/land cover change detection of a coastal city using Multi-Source Imagery: a case study of Lagos, Nigeria
	2020

[13]	Evaluation of Object-Based Classification Methods For Mapping Benthic Habitats Using Bathymetric LiDAR Derivatives
	Philippine Engineering …, 2020

[14]	Agricultural field boundary delineation using earth observation methods and multi-temporal Sentinel-2 imagery
	2019

[15]	Automating field boundary delineation with multi-temporal Sentinel-2 imagery
	Computers and electronics in agriculture, 2019

[16]	Determining suitable image classification method for mangrove forest in Ninh Binh province with landsat-8 oli/tirs and sentinel-2 msi satellite imagery
	2019

[17]	KLASIFIKASI TERBIMBING BERBASIS OBJEK MENGGUNAKAN ALGORITMA NEAREST NEIGHBOR UNTUK PEMETAAN MANGROVE DI SUNGAI …
	2018

[18]	Coastal wetland classification with multiseasonal high-spatial resolution satellite imagery
	International Journal of Remote Sensing, 2018

[19]	KLASIFIKASI TERBIMBING BERBASIS OBJEK MENGGUNAKAN ALGORITMA NEAREST NEIGHBOR UNTUK PEMETAAN MANGROVE DI SUNGAI KEMBUNG …
	2018

[20]	Detection of coastal wetland change in China: a case study in Hangzhou Bay
	2018

[21]	Mangroves of Vietnam: Historical development, current state of research and future threats
	2018

[22]	WOODLAND MAPPING AT SINGLE-TREE LEVELS USING OBJECT-ORIENTED CLASSIFICATION OF UNMANNED AERIAL VEHICLE (UAV) IMAGES.
	2017

[23]	Mapping Torreya grandis Spatial Distribution Using High Spatial Resolution Satellite Imagery with the Expert Rules-Based Approach
	Remote Sensing, 2017

[24]	Bidirectional Long Short-Term Memory Networks for Automatic Crop Classification at Regional Scale using Tabular Remote Sensing Time Series

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

[2]	Identification of landslide-prone zones using a GIS-based multi-criteria decision analysis and region-growing algorithm in uncertain conditions Natural Hazards, 2023 DOI:10.1007/s11069-022-05603-5

[3]	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

[4]	Multi-resolution remote sensing for the specieslevel classification of mangroves 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), 2023 DOI:10.1109/MIGARS57353.2023.10064566

[5]	Improvement of forest canopy density mapping of sparse forests using RS/GIS-based classification approach Arabian Journal of Geosciences, 2023 DOI:10.1007/s12517-023-11633-5

[6]	Image processing and Supervised Classification of LANDSAT data for Flood Impact Assessment on Land Use and Land Cover 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022 DOI:10.1109/ICTACS56270.2022.9988164

[7]	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

[8]	Identification of landslide-prone zones using a GIS-based multi-criteria decision analysis and region-growing algorithm in uncertain conditions Natural Hazards, 2022 DOI:10.1007/s11069-022-05603-5

[9]	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

[10]	Comparison of machine learning algorithms for mangrove species identification in Malad creek, Mumbai using WorldView-2 and Google Earth images Journal of Coastal Conservation, 2022 DOI:10.1007/s11852-022-00891-2

[11]	Image processing and Supervised Classification of LANDSAT data for Flood Impact Assessment on Land Use and Land Cover 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022 DOI:10.1109/ICTACS56270.2022.9988164

[12]	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

[13]	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

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

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

[16]	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

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

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Advances in Remote Sensing

Advances in Remote Sensing

Journals Menu

Home

About SCIRP

Service

Policies