Inexpensive Method to Assess Mangroves Forest through the Use of Open Source Software and Data Available Freely in Public Domain

Journal of Geographic Information System

ISSN Print: 2151-1950
ISSN Online: 2151-1969
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"Inexpensive Method to Assess Mangroves Forest through the Use of Open Source Software and Data Available Freely in Public Domain"
written by Fatwa Ramdani, Sabaruddin Rahman, Putri Setiani,
published by Journal of Geographic Information System, Vol.7 No.1, 2015

has been cited by the following article(s):

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[11]	Mapping potential of mangrove forests based on site demands (Geomorphological factors and physico-chemical characteristics of soil and water)
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[12]	Madagascar's Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems
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[13]	Usabilidade Percebida e Características de Cursos na Avaliação do Programa de Educação em Software Livre com apoio da Análise Multivariada de Dados
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[14]	5. Determining Mangrove Ecological Land Suitability: A tool for implementation of Green Infrastructure in Sub-Saharan African coastal cities. A case study of …

[1]	Assessing the Environmental and Socioeconomic Impacts of Mangrove Loss in Indonesia: A Synthesis for Science-Based Policy Forest Science and Technology, 2025 DOI:10.1080/21580103.2025.2536595

[2]	Improving pixel‐based classification of GRASS GIS with support vector machine Transactions in GIS, 2023 DOI:10.1111/tgis.13102

[3]	Preliminary study for spatial distribution of mangrove vegetation assessment by supervised classification algorithms in the Cirebon coastal areas MACHINE LEARNING AND INFORMATION PROCESSING: PROCEEDINGS OF ICMLIP 2023, 2023 DOI:10.1063/5.0181946

[4]	Assessing Google Earth Pro Images for Detailed Conservation Diagnostics of Mangrove Communities Journal of Coastal Research, 2019 DOI:10.2112/SI92-005.1

[5]	Principal polar spectral indices for mapping mangroves forest in South East Asia: study case Indonesia International Journal of Digital Earth, 2018 DOI:10.1080/17538947.2018.1454516

[6]	Madagascar’s Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems Remote Sensing, 2016 DOI:10.3390/rs8020106

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