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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IOP conference series. Earth and environmental science 2020-03, Vol.451 (1), p.12066
Hauptverfasser: Astisiasari, Hizbaron, D R, Setiawan, M A
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/451/1/012066