Towards a combined Landsat-8 and Sentinel-2 for 10-m land surface temperature products: The Google Earth Engine monthly Ten-ST-GEE system. (September 2022)

• Record Type: Journal Article
• Authors: Abunnasr, Yaser; Mhawej, Mario
• Is Part Of: Environmental modelling & software. Volume 155(2022)
• Publication Date: 2022-09
• Subjects: Crop temperature -- Vegetation temperature -- Volcano -- Remote sensing -- Open-source -- Small-scale; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2022.105456
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Efforts to combine satellite images from different sources are particularly needed in Land Surface Temperature-based (LST) studies. This research proposes for the first time, to our knowledge, a Google Earth Engine-based (GEE) 10-m LST system, named Ten-ST-GEE. It is based on both Landsat-8 and Sentinel-2 bands. Ten-ST-GEE has the ability to automatically transform 30-m to 10-m LST at Landsat-8 overpass time. Machine learning and regression methods (i.e., OLS, RLS, DisTrad, RF, and SVM) are embedded within this system. Ten-ST-GEE was applied over two agricultural lands and two urban regions in the United States of America and in Lebanon. OLS and RLS showed an RMSE of ∼1.1 °C compared to ∼2.4 °C for DisTrad and ∼2.5 °C for RF and SVM. The open-source and automated Ten-ST-GEE can generate information at the building-level and within the agricultural parcels. It has the potential to be portable to any region across the Globe, aiming at better management of environmental resources.