Abstract
Urban Green Space (UGS) is considered fundamental for the sustainable development of the urban economy. The purpose of this study is to assess the quality of urban green space in the Hanoi inner city using the integration of GIS technology, remote sensing, and AHP model. Sentinel 2-MSI data taken in 2020 were utilized to identify three criteria, namely percentage of green, type of green types, and proximity to green. AHP was used to determine the weighted correlation among parameters based on their importance to this phenomenon. As the result, the quality of UGS was classified into four classes, namely very high-quality green, high-quality green, moderate quality green, and low-quality green. The results showed an imbalance in the quality of green space in the study area. In which, areas with high and very high-quality green were distributed mainly on the edge of the city center, accounting for 41% while low quality urban green space was found in the center with 22.4 %.
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