Analysis urban green space classification using landscape pattern analysis based on GIS and remote sensing in Pattaya, Thailand

Abstract

This research explores the urban green space (UGS) classification and analyze the quantity and distribution of UGS using landscape pattern analysis based on GIS and remote sensing in Pattaya city, Thailand. The useful of the classification for UGS planning and management was interpreted through landscape pattern analysis. In this study, use satellite image interpretation, land use map of Pattaya City was used as a based. Digitization for six criteria have natural green space, amenity green space, function green space, linear green space, economy green space and abandoned green space were identified to explore the classification. field survey provided information to validate the interpretations. Landscape pattern was based on landscape metrics analyzed using FRAGSTAT 4.2. The result show that the land scape structure of the Pattaya city is unreasonable, the amenity green space is seriously lacking and the distribution is not balanced. The proportion of abandoned green space is high but useless and the landscape diversity index is low. Landscape pattern analysis has allowed to interpret what category needs attention to improve their quality and quantity as well as to protect them from any land use development, guideline to manage the sustainable green space in Pattaya.