
Bangkok’s Inner Orchards (BIOs) play a crucial role in offering both food and non-food ecosystem services to the city's residents. As urban development in Bangkok and its neighbouring provinces spreads over these mixed-fruit orchards in the Bangkok Metropolitan Region (BMR), understanding the current extent of orchard areas in these rural-urban zones becomes essential for city and regional planning. Given the city's limited urban green spaces, the existing BIOs represent significant opportunities to incorporate into Bangkok’s green infrastructure initiatives. Unfortunately, the data from relevant government sources are often outdated and unreliable. This study harnessed geospatial data and remote sensing technology to identify BIO areas accurately. Analysis of satellite imagery pinpointed the locations of these orchards within the Bangkok Metropolis and the peri-urban regions of Nonthaburi and Samut Prakan Provinces. Spatial evaluation revealed a total of 68.55 km² of BIOs, consisting of 60.49 km² for active orchards and 8.06 km² for abandoned ones. Active orchards require immediate conservation strategies with suitable measures, while revitalising abandoned orchards poses unique challenges, necessitating innovative ideas for developing a variety of urban green spaces to meet future demands.
Autor / Author: | Davivongs, Vudipong; Lawawirojwong, Siam; Lertsiri, Supaporn; Charoenchai, Olarn; Sangyuan, Natsiporn; Arifwidodo, Sigit Dwiananto |
Institution / Institution: | Kasetsart University, Bangkok/Thailand; Geo-Informatics and Space Technology Development Agency (GISTDA), Bangkok/Thailand; Kasetsart University, Bangkok/Thailand; Kasetsart University, Bangkok/Thailand; Kasetsart University, Bankok/Thailand; Kasetsart University, Bankok/Thailand |
Seitenzahl / Pages: | 9 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 10-2025 |
Tagung / Conference: | Digital Landscape Architecture 2025 – Collaboration |
Veranstaltungsort, -datum / Venue, Date: | Dessau Campus of Anhalt University, Germany 04-06-25 - 07-06-25 |
Schlüsselwörter (de): | |
Keywords (en): | Productive landscape, remote sensing, GIS, NDVI, sustainable development goals |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537754033 |
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