The Utilization of Sentinel-2A and ASTER Imagery for Monitoring the Changes of Public Green Open Space and Oxygen Needs in Sukoharjo Regency in 2004-2019

Abstract

High land requirements have an impact on land conversion. This study aims to calculate the accuracy of the results of mapping public green open space from ASTER and Sentinel-2A imagery, know the changes in green public space, calculate oxygen demand and the needs of green space in 2004 and 2019. The types of green open spaces that are interpreted visually include urban forests, river borders, cemeteries, fields, and city park. Oxygen demand is calculated by the gerrarkis method including livestock, industry, population, and motor vehicles. The mapping accuracy with the ASTER is 96% while the Sentinel-2A imagery is 90%. The mapping of changes in public green open space show that 17,62 km2 public green open space has not changed, increased 1,15 km2, and decreased 2,61 km2. Oxygen demand in 2004 was 1053531,92 kg/day with green open space needs covering 10,41 km2, while in 2019 it was 1923959,31 kg/day with Green Open Space needs covering 19 km2. The need for green space in 2004 has been fulfilled from public green space of 20,22 km2. In 2019 the area of public open green space is 18,77 km2, so that public open green space has not been able to fulfill the needs of overall green open space.