Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system. (November 2022)
- Record Type:
- Journal Article
- Title:
- Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system. (November 2022)
- Main Title:
- Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system
- Authors:
- Mhawej, Mario
Abunnasr, Yaser - Abstract:
- Abstract: In remote sensing applications, data fusion is a combination of satellite images from different sources, aimed to improve the spatial and/or temporal resolution of the final output. This process also named spatial sharpening or spatial downscaling is required in several Land Surface Temperature-based (LST) studies, ranging from water table estimations and urban heating assessments to volcano activity monitoring. In this study, we propose a Google Earth Engine-based (GEE) daily 10-m LST retrieval system, named daily Ten-ST-GEE. It combines both MODIS and Sentinel-2 satellite products and uses the robust least squares statistical approach for data fusion. We validate the daily Ten-ST-GEE against two airborne TIR images over the Hat Creek region, in California, USA with a MAE of 2.27 °C. The cross-evaluation over the 1-km MODIS LST and the inter-comparison to the 30-m L8 LST in six different sites across the globe showed very promising results (i.e., average MAE less than 1 °C). As the daily Ten-ST-GEE is fully-automated, open-source, user-friendly and freely-accessible, it can be portable to other regions with diverse climatic regimes. This would greatly improve the downscaling initiatives and provide the scientific community with much-needed downscaled LST information. Highlights: An open-source fully-automated daily GEE 10-m Land Surface Temperature was proposed. It provides a LST information at the smallest scale not possible with the standard product. It wasAbstract: In remote sensing applications, data fusion is a combination of satellite images from different sources, aimed to improve the spatial and/or temporal resolution of the final output. This process also named spatial sharpening or spatial downscaling is required in several Land Surface Temperature-based (LST) studies, ranging from water table estimations and urban heating assessments to volcano activity monitoring. In this study, we propose a Google Earth Engine-based (GEE) daily 10-m LST retrieval system, named daily Ten-ST-GEE. It combines both MODIS and Sentinel-2 satellite products and uses the robust least squares statistical approach for data fusion. We validate the daily Ten-ST-GEE against two airborne TIR images over the Hat Creek region, in California, USA with a MAE of 2.27 °C. The cross-evaluation over the 1-km MODIS LST and the inter-comparison to the 30-m L8 LST in six different sites across the globe showed very promising results (i.e., average MAE less than 1 °C). As the daily Ten-ST-GEE is fully-automated, open-source, user-friendly and freely-accessible, it can be portable to other regions with diverse climatic regimes. This would greatly improve the downscaling initiatives and provide the scientific community with much-needed downscaled LST information. Highlights: An open-source fully-automated daily GEE 10-m Land Surface Temperature was proposed. It provides a LST information at the smallest scale not possible with the standard product. It was validated with a MAE of 2.27 °C in comparison to two airborne TIR images. Very promising cross-evaluation to MODIS and inter-comparison to L8 LST was shown. The daily Ten-ST-GEE is user-friendly and can be portable to other climatic regions. … (more)
- Is Part Of:
- Computers & geosciences. Volume 168(2022)
- Journal:
- Computers & geosciences
- Issue:
- Volume 168(2022)
- Issue Display:
- Volume 168, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 168
- Issue:
- 2022
- Issue Sort Value:
- 2022-0168-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11
- Subjects:
- Land surface temperature -- Vegetation temperature -- Surface urban heat island -- Sentinel-2 -- Remote sensing -- Open-source
Environmental policy -- Periodicals
550.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00983004 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cageo.2022.105220 ↗
- Languages:
- English
- ISSNs:
- 0098-3004
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.695000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23904.xml