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Description
The data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 194, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
The Landsat mission is run by the Earth Observation Program of the National Aeronautics and Space Administration (NASA). Launched in 2013, Landsat 8 carries two instruments: a Thermal Infrared Sensor (TIRS) collecting infrared data of 100-m resolution and an Operational Land Imager (OLI) which collects data of 30-m resolution in the visible (VIS), near-infrared (NIR) and short-wave infrared (SWIR) portions of the spectrum. Data from both instruments are provided by the USGS in a common grid in UTM projection with a resolution of 30 m. Each satellite path is revisited every 16 days. Of the path 194, seven granules cover the Baltic Sea area (Figure 1).
The NLSST algorithm is an empirical formula utilising split-window approach to atmospheric correction (Walton et al. 1998). To calculate SST, Level 1 satellite data form the Collection 2 (USGS/NASA Landsat Program) and NLSST coefficients derived for the Baltic Sea in reference to in situ bulk temperatures from buoys and platforms were used (Bradtke 2021). Clouded areas were masked (fill value -999). The validation of the results for the period 2013-2019 showed a root mean square error (RMSE) 0.65 °C and bias 0.02 °C.
The SST maps are provided in GeoTIFF format using the naming convention: LC08_SST_YYYYMMDD_HHmmSS_PPPRRR_UTMZZZ
where:
YYYYMMDD – date of granule data acquisition: year, month, day
HHmmSS – granule center time (UTC): hour, minutes, seconds
PPPRRR – WRS path and row
ZZZ – UTM zone
Figure 1. Granules of the Landsat 8 path number 194, which cover the Baltic Sea area. Numbers identify row of the path.
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
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CC BYAttribution
Details
- Year of publication:
- 2022
- Verification date:
- 2022-01-10
- Dataset language:
- English
- Fields of science:
-
- Earth and related environmental sciences (Natural sciences)
- DOI:
- DOI ID 10.34808/9sn1-en43 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
Keywords
References
- publication Landsat 8 Data as a Source of High Resolution Sea Surface Temperature Maps in the Baltic Sea
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