Publication:
Spatial Green Space Assessment in Suburbia: Implications for Urban Development

dc.contributor.authorSura Pattanakiat
dc.contributor.authorSirasit Vongvassana
dc.contributor.authorThamarat Phutthai
dc.contributor.authorPisut Nakmuenwai
dc.contributor.authorTheerawut Chiyanon
dc.contributor.authorVoravart Ratanadilok Na Bhuket
dc.contributor.authorThunyapat Sattraburut
dc.contributor.authorPathomphot Chinsawadphan
dc.contributor.authorKajornsak Khincharung
dc.date.accessioned2026-02-17T02:20:23Z
dc.date.available2026-02-17T02:20:23Z
dc.date.created2026-02-17
dc.date.issued2024
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.format.extent17 page
dc.format.mimetypeapplication/pdf
dc.identifier.citationEnvironment and Natural Resources Journal. Vol. 22, No. 1 (Jan - Feb 2024), 76-92
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/115098
dc.language.isoeng
dc.rightsผลงานนี้เป็นลิขสิทธิ์ของมหาวิทยาลัยมหิดล ขอสงวนไว้สำหรับเพื่อการศึกษาเท่านั้น ต้องอ้างอิงแหล่งที่มา ห้ามดัดแปลงเนื้อหา และห้ามนำไปใช้เพื่อการค้า
dc.rights.holderFaculty of Environment and Resource Studies. Mahidol University
dc.subjectGreen space
dc.subjectClassification
dc.subjectGeoinformatics
dc.subjectUrban planning
dc.subjectNonthaburi Province
dc.subjectEnvironment and Natural Resources Journal
dc.subjectวารสารสิ่งแวดล้อมและทรัพยากรธรรมชาติ
dc.titleSpatial Green Space Assessment in Suburbia: Implications for Urban Development
dc.typeArticle
dcterms.accessRightsopen access
dspace.entity.typePublication
mods.location.urlhttps://ph02.tci-thaijo.org/index.php/ennrj/article/view/249887
oaire.citation.endPage92
oaire.citation.issue1
oaire.citation.startPage76
oaire.citation.titleEnvironment and Natural Resources Journal
oaire.citation.volume22
oairecerif.author.affiliationMahidol University. Faculty of Environment and Resource Studies
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relation.isJournalOfPublication1ecaf552-7d21-48e9-b04c-9e59a4d3aa14
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