SPATIOTEMPORAL CHANGE OF URBAN AGRICULTURE USING GOOGLE EARTH IMAGERY: A CASE OF MUNICIPALITY OF NAKHONRATCHASIMA CITY, THAILAND
Yaowaret Jantakat, P. Juntakut, Sasikarn Plaiklang, W. Arree, Chomphak Jantakat
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Urban Farm DB summary
This paper conducted a spatiotemporal analysis of urban agriculture (UA) areas and types in Nakhonratchasima City, Thailand, using Google Earth images from 2007, 2011, 2015, and 2018. A segmentation-based classification method in QGIS identified eleven UA classes, including truck crops and floricultural crops. Truck crops had the greatest cover in the study area, while floricultural crops covered the minimal space over the study periods. The analysis revealed different spatiotemporal change patterns, composition, and rates, showing how human-induced activities affect UA change patterns and rates.