The Effect of Land Surface Temperature and Land Use on Energy System Development in Gorontalo City

Abstract

Land use change is one of the factors affecting urban development including urban energy needs. This study analysis the effect of land use and surface temperature on energy system development of Gorontalo city. Gorontalo has a very high solar energy potential but has not been utilized optimally. Land Surface Temperature (LST) mapping is the first step to identify the potential of solar anergy for energy system development in Gorontalo City. Remote sensing technology and geographic information systems are helpful in mapping the spatial distribution of each parameter used. In this research the data used is Landsat 8 for mapping land cover/land use, green area and LST. The results showed that in the dry season the highest surface temperature was in the building area, and the lowest temperature was in the vegetation area. Land use in city of Gorontalo is dominated by high density vegetation (VKT) of 36% of the total area, while built-up area has 26% of the total area. LST was dominant in the wet season of 30-40 °C i.e 50.51% of the area while in dry season wasdominant at 40-50 °C covering 42%. The highest temperature in the city of Gorontalo in both dry and wet season is distributed in Pulubala, Limba U1, and Biawao. These three regions can be a recommendation for the development and utilization of solar energy as an alternative energy source. This research provides insight into land surface temperature and become a recommendation in urban planning and energy policy.

Analysis of thermal comfort of settlements based on urban humidity index in Yogyakarta City

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An Analyze of Urban Temperature Using Energy Balance Algorithm for Land (SEBAL) in Yogyakarta City

“…The density of the urban population contributes to climate change due to pressure on land use (Ilcheva and Yordanova 2019). The advantages of the city as a center of economic activity encourage the acceleration of urbanization, which impacts the complexity of problems in the city (Arif et al 2019;Chrysoulakis et al 2018). Conversion of land from non-built into built-up land results in increased air temperature reduces evapotranspiration and causes drought (Tursilowati et al 2012).…”

“…At the micro to macro scale, remote sensing has the advantage of consistency of observation and up-to-date spectral reflectance and land surface radiation (Bastiaanssen et al 1998a). Remote sensing and geographic information systems (GIS) are essential tools in a range of applications related to this topic, including the study of urban climates (Nwaerema et al 2019;Pal and Ziaul 2017), fractional vegetation cover mapping (Arif et al 2020;Timmermans et al 2007), LST mapping (Arif et al 2019;Weng 2009), green space area (Chan and Vu 2017;Oliveira et al 2011) and thermal monitoring city (Zhou et al 2019;Zinzi and Carnielo 2017).…”