Estimation of land surface temperature in Dieng volcanic complex using tir-based satellite imageries

4Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The satellite-based Land Surface Temperature (LST) and its anomaly values were observed in the geothermal area of Dieng Volcanic Complex (DVC). Landsat-8 and ASTER product on surface kinetic temperature (AST-08) were selected, based on its spectral and spatial resolution characteristics, as well as its retrieval methods applied for the LST extraction. Statistical analysis was performed on the pixel-integrated temperatures to cross-compare both of the remote sensing-based LST. Thermal Infrared (TIR)-based LST was also correlated with the LST reference from a field measurement. Correlation between the field measurement and satellite-based LST was considered insignificantly weak; while correlation between the satellite-based LST (Landsat-8 with SW and ASTER-based with TES) was significantly strong. The LST registration approaches cause difference on correlation strength. Field-based LST directly measured the ground kinetic temperature of sample points with infrared thermometer; while satellite-based LST sensed the thermal radiation emitted by the represented objects in a pixel area that possibly mixed the LST values. The clusters in response to geothermal features reflected bias result; as the thermal anomalies were less pronounced, observed from both of the satellite-based LST estimation.

Cite

CITATION STYLE

APA

Astisiasari, Hizbaron, D. R., & Setiawan, M. A. (2020). Estimation of land surface temperature in Dieng volcanic complex using tir-based satellite imageries. In IOP Conference Series: Earth and Environmental Science (Vol. 451). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/451/1/012066

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free