Application of thermal infrared band for landcover/landuse and temperature study as an indicator urban climate change in Yogyakarta

Retnadi Heru Jatmiko

doi:10.1117/12.2325811

9 October 2018 Application of thermal infrared band for landcover/landuse and temperature study as an indicator urban climate change in Yogyakarta

Retnadi Heru Jatmiko

Author Affiliations +

Proceedings Volume 10793, Remote Sensing Technologies and Applications in Urban Environments III; 107930B (2018) https://doi.org/10.1117/12.2325811
Event: SPIE Remote Sensing, 2018, Berlin, Germany

Abstract

Landcover/landuse change and human activities will have impact in climate change. Environment change that dominated by human activity especially in landcover/landuse change caused in urban temperature change. The aims of this research are (1) to define the influenced of landcover/landuse change in variability of temperature change based on multiseries data analysis of thermal infrared bands (TIRS) of Landsat 8, (2) to determine the indicator of urban temperature change due to urban climate change, and derived urban heat island (UHI) more accurate based on land surface temperature (LST) change. Multiseries data of Landsat 8 that recorded in May, June, July, August, September, October 2013, and January, April, May, June, July, August, September, October 2014, are used in this research. Also, some algorithm to process and to extract some information due to the aims of the research, such as vegetation indices (VI), urban index (UI), split windows algorithm (SWA), fraction vegetation coverage (FVC), land surface temperature (LST), land surface emissivity (LSE). Direct measurement as real time data extraction, such as object temperature, vegetation coverage, type of landcover/landuse and percentage of coverage. Also statistic analysis to calculate and to know how relationship of each data that contribute on this research. The result of this research showed (1) TIRS of Landsat 8 be able to derived some important information due to defined of landcover/landuse change as an indicator of urban temperature change accurately. (2) TIRS of Landsat 8 derived UHI accurately and (3) Applying SWA algorithm on TIRS of Landsat 8, showed that the value of LST is higher (overestimate) than the real LST on the ground (both BMKG data and ground real time measurement).

Conference Presentation

Citation Download Citation

Retnadi Heru Jatmiko "Application of thermal infrared band for landcover/landuse and temperature study as an indicator urban climate change in Yogyakarta", Proc. SPIE 10793, Remote Sensing Technologies and Applications in Urban Environments III, 107930B (9 October 2018); https://doi.org/10.1117/12.2325811

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