Spatial Green Space Assessment in Suburbia: Implications for Urban Development

dc.contributor.authorPattanakiat S.
dc.contributor.authorVongvassana S.
dc.contributor.authorPhutthai T.
dc.contributor.authorNakmuenwai P.
dc.contributor.authorChiyanon T.
dc.contributor.authorBhuket V.R.N.
dc.contributor.authorSattraburut T.
dc.contributor.authorChinsawadphan P.
dc.contributor.authorKhincharung K.
dc.contributor.correspondencePattanakiat S.
dc.contributor.otherMahidol University
dc.date.accessioned2024-02-08T18:13:44Z
dc.date.available2024-02-08T18:13:44Z
dc.date.issued2024-01-01
dc.description.abstractNonthaburi, a suburban province adjacent to the Bangkok Metropolis, has experienced a reduction in green spaces due to urban expansion. This study quantified Nonthaburi’s green space through visual interpretation of land use and land cover (LULC) using THEOS and Sentinel-2. Areas of green space were extracted using remote sensing indices and pixel-based classification based on THEOS. The extracted green area was then integrated with the existing LULC patterns to align with the green space characteristic established by Thailand’s Office of Natural Resource and Environmental Policy and Planning. This includes public services, functional utility, median strips, community economics, fallow, and natural green space. The analysis of green space management and planning utilized the Urban Green Space Index (UGSI), Per Capita Green Space (PCGS), and accessibility to public green space. The results revealed that Nonthaburi comprises a green space area of 465.29 km2 or 73.06%, exhibiting a higher prevalence within its western region while displaying a relatively lower extent in the urban zone adjacent to the Bangkok Metropolis. The per capita green space is 367.71 m2 but decreases to 255.82 m2 when accounting for the latent population, meaning it still meets the World Health Organization (WHO) criteria. Currently, only six parks (single and clusters) meet the criteria for public green space. Additionally, both fallow and median strip green spaces (at road interchanges) need to be considered for their potential use in new public service. Furthermore, very high-resolution imagery from unmanned aerial vehicles (UAVs) should be used for green space planning by the organization.
dc.identifier.citationEnvironment and Natural Resources Journal Vol.22 No.1 (2024) , 76-92
dc.identifier.doi10.32526/ennrj/22/20230153
dc.identifier.eissn24082384
dc.identifier.issn16865456
dc.identifier.scopus2-s2.0-85183443471
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/95778
dc.rights.holderSCOPUS
dc.subjectEnvironmental Science
dc.titleSpatial Green Space Assessment in Suburbia: Implications for Urban Development
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85183443471&origin=inward
oaire.citation.endPage92
oaire.citation.issue1
oaire.citation.startPage76
oaire.citation.titleEnvironment and Natural Resources Journal
oaire.citation.volume22
oairecerif.author.affiliationFaculty of Environment and Resource Studies, Mahidol University
oairecerif.author.affiliationMahidol University

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