Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

André, Cyrille; Ottlé, Catherine; Royer, Alain; Maignan, Fabienne (2015): Land Surface Temperature continuous time series from SSM/I passive microwave radiometers, over northern latitudes (Latitudes > 45°N), during summer snow free period (2000-2011), with links to NetCDF files [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.833409, Supplement to: André, Cyrille; Ottlé, Catherine; Royer, A; Maignan, Fabienne (2015): Land surface temperature retrieval over circumpolar Arctic using SSM/I–SSMIS and MODIS data. Remote Sensing of Environment, 162, 1-10, https://doi.org/10.1016/j.rse.2015.01.028

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
Remote sensing instruments are key players to map land surface temperature (LST) at large temporal and spatial scales. In this paper, we present how we combine passive microwave and thermal infrared data to estimate LST during summer snow-free periods over northern high latitudes. The methodology is based on the SSM/I-SSMIS 37 GHz measurements at both vertical and horizontal polarizations on a 25 km × 25 km grid size. LST is retrieved from brightness temperatures introducing an empirical linear relationship between emissivities at both polarizations as described in Royer and Poirier (2010). This relationship is calibrated at pixel scale, using cloud-free independent LST data from MODIS instruments. The SSM/I-SSMIS and MODIS data are synchronized by fitting a diurnal cycle model built on skin temperature reanalysis provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The resulting temperature dataset is provided at 25 km scale and at an hourly time step during the ten-year analysis period (2000-2011). This new product was locally evaluated at five experimental sites of the EU-PAGE21 project against air temperature measurements and meteorological model reanalysis, and compared to the MODIS LST product at both local and circumpolar scale. The results giving a mean RMSE of the order of 2.2 K demonstrate the usefulness of the microwave product, which is unaffected by clouds as opposed to thermal infrared products and offers a better resolution compared to model reanalysis.
Funding:
Seventh Framework Programme (FP7), grant/award no. 282700: Changing Permafrost in the Arctic and its Global Effects in the 21st Century
Coverage:
Latitude: 90.000000 * Longitude: 0.000000
Date/Time Start: 2000-01-01T00:00:00 * Date/Time End: 2010-12-01T00:00:00
Event(s):
pan-Arctic * Latitude: 90.000000 * Longitude: 0.000000 * Location: Arctic
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeGeocode
2Date/time endDate/time endAndré, Cyrille
3File nameFile nameAndré, Cyrille
4File sizeFile sizekByteAndré, Cyrille
5Uniform resource locator/link to fileURL fileAndré, Cyrillederived from MODIS remote sensing dataNetCDF format (zipped)
Size:
624 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML