Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/2440
Title: Application of Google Earth Engine for Green Space Classification and Green Space Per Capita Ratio Analysis at the Sub-district Level, Mueang Phitsanulok District
Other Titles: การประยุกต์ใช้กูเกิ้ลเอิร์ธเอนจินเพื่อการจำแนกพื้นที่สีเขียวและการวิเคราะห์อัตราส่วน พื้นที่สีเขียวต่อประชากรระดับตำบลในอำเภอเมืองพิษณุโลก
Authors: Paengwangthong, Napat
Paengwangthong, Wipop
Keywords: Google Earth Engine
Green space per capita
Sentinel-2 satellite
Issue Date: 21-Aug-2025
Publisher: The 17th NPRU National Academic Conference Nakhon Pathom Rajabhat University
Series/Report no.: Proceedings of the 17th NPRU National Academic Conference;1732-1743
Abstract: This research aimed to evaluate the green space per capita status at the sub-district level of Mueang Phitsanulok District for the year 2024, utilizing Sentinel-2 satellite imagery and Google Earth Engine technology for green space classification. The analysis of green space and population data revealed a distinct variation in the green space per capita ratio across sub-districts, ranging from 99.95 sq.m/person in Phitsanulok City Municipality to 7,229.71 sq.m/person in Don Thong Subdistrict. The results, processed through Google Earth Engine, were presented as a thematic map categorizing the green space per capita ratio into three levels: low (<2,495.28 sq.m/person), medium (2,495.28-4,890.24 sq.m/person), and high (>4,890.24 sq.m/person). This highlights a clear disparity in green space accessibility, particularly in urban areas which have low ratios when compared to surrounding rural areas. Therefore, these findings provide essential data to support strategic planning, leading to sustainable development and improved urban livability
URI: https://publication.npru.ac.th/jspui/handle/123456789/2440
ISBN: 978-974-7063-48-6
Appears in Collections:Proceedings of the 17th NPRU National Academic Conference

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