Paper
24 December 2019 Land surface temperature analysis of post-mining area using Landsat 8 imagery
Author Affiliations +
Proceedings Volume 11372, Sixth International Symposium on LAPAN-IPB Satellite; 113720P (2019) https://doi.org/10.1117/12.2541811
Event: Sixth International Symposium on LAPAN-IPB Satellite, 2019, Bogor, Indonesia
Abstract
The decrease of land surface temperature (LST) in reclaimed mining site can be taken as indication of environmental quality improvement. Remote sensing technology is able to provide information on LST over a large area so that it can be used to assess the effect of land-cover characteristic of mining-affected landscape on LST. This research used Landsat 8 images to study the relationships between land-use and LST in a coal-mined landscape of a mining company in South Kalimantan. Specifically, this study aimed to examine the effect of different planting years of reclaimed forest on LST and to examine the effect of different dominant tree species of reclaimed forest on LST. Data source for LST calculation was band 10 of Landsat 8 thermal infrared sensor (TIRS) from recording years of 2014 and 2018. The images analysis consisted of the following steps: LST data extraction using Avdan and Jovanovska (2016) algorithm, land surface emissivity calculation following Valor and Caselles (1996), and overlay of LST maps with land-cover maps. A field work to measure stand characteristics of reclaimed forests was also conducted. The result shows that reclaimed forests with different planting years tends to have similar temperature-decreasing ability. This is shown by similar average LST values of reclaimed forest stands planted at year 1997, 2014, 2015, and 2016, which were around 27°C at year 2018. Meanwhile, reclaimed forest stands with different dominant trees species and total basal area also tend to similar temperature decreasing ability, being around 4.7-5.7°C after 3-4 years of planting. The results indicates that the tree species currently used by PT Adaro Indonesia for post-mining forest reclamation have similar ability in decreasing LST and the LST decrease could occur in a relatively short time.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nur Faiz Ramdhani, Endah Sulistyawati, and . Sutrisno "Land surface temperature analysis of post-mining area using Landsat 8 imagery", Proc. SPIE 11372, Sixth International Symposium on LAPAN-IPB Satellite, 113720P (24 December 2019); https://doi.org/10.1117/12.2541811
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KEYWORDS
Mining

Earth observing sensors

Landsat

Vegetation

Analytical research

Remote sensing

Algorithm development

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