Daily, gapless MODIS LST data (2003-2022)

Description

Temperature time series with high spatial and temporal resolution are important for various applications. The new MODIS Land Surface Temperature (LST) Collection 6 offers numerous improvements compared to Collection 5. However, since this is remote sensing data in the thermal range, there are gaps in the time series in cloud-covered areas. Using a novel method [1], we have developed the daily global MODIS LST products MOD11A1/MYD11A1 (spatial resolution: 1 km) fully reconstructed for the years 2003 to 2022. To do this, we combined temporal and spatial interpolations, using the emissivity and elevation as covariates for spatial interpolation.

Here we provide a time series of this reconstructed LST data as sample data. Long-term monthly averages were summarized as monthly average LST maps for Germany. The long-term monthly averages are based on the monthly averages of the years 2003 - 2016, which were calculated from the daily averages. The sample data is upsampled to a spatial resolution of approx. 250 m.

The data is provided in GeoTIFF format. The Coordinate Reference System (CRS) is identical to the MOD11A1/MYD11A1 product (Sinusoidal) provided by NASA. In WKT as reported by GDAL:

PROJCRS[\\\\\\\\\\\\\\\"unnamed\\\\\\\\\\\\\\\\",
BASEGEOGCRS[\\\\\\\\\\\\\\"Unknown datum based upon the custom spheroid\\\\\\\\\\\\\\\",
DATE[\\\\\\\\\\\\\\"Not_specified_based_on_custom_spheroid\\\\\\\\\\\\\\\\",
ELLIPSOID[\\\\\\\\\\\\\\"Custom spheroid\\\\\\\\\\\\\\\\\",6371007.181,0,
LENGTHUNIT[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\",1,
ID[\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9001]]]],
PRIMEM[\\\\\\\\\\\\\\"Greenwich\\\\\\\\\\\\\\\\\\",0,
ANGLEUNIT[\\\\\\\\\\\\\\"degree\\\\\\\\\\\\\\\\",0.0174532925199433,
ID[\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9122]]]],
CONVERSION[\\\\\\\\\\\\\\"Sinusoidal\\\\\\\\\\\\\\\\",
METHOD[\\\\\\\\\\\\\\"Sinusoidal\\\\\\\\\\\\\\\\\\"],
PARAMETER[\\\\\\\\\\\\\"Longitude of natural origin\\\\\\\\\\\\\\\\",0,
ANGLEUNIT[\\\\\\\\\\\\\\"degree\\\\\\\\\\\\\\\\",0.0174532925199433],
ID[\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",8802]],
PARAMETER[\\\\\\\\\\\\\\"False easting\\\\\\\\\\\\\\\\",0,
LENGTHUNIT[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\",1],
ID[\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",8806]],
PARAMETER[\\\\\\\\\\\\\\"False northing\\\\\\\\\\\\\\\\",0,
LENGTHUNIT[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\",1],
ID[\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",8807]]],
CS[Cartesian,2],
AXIS[\\\\\\\\\\\\\\\"easting\\\\\\\\\\\\\\\\",east,
ORDER[1],
LENGTHUNIT[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\",1,
ID[\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9001]]]],
AXIS[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ ORDER[2],
LENGTHUNIT[\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\",1,
ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9001]]]]

naming convention:
lst_250m_lt_MM_avg.tif
MM is the two-digit month.
Example for January: lst_250m_lt_01_avg.tif

Meaning of the pixel values:
The pixel values are encoded in degrees Celsius * 10.
This means that the pixel value must be divided by 10 to obtain degrees Celsius.

Data type: Grid, Int16

Spatial resolution: 231.6563582846881673 m

Spatial expansion sinusoidal (W, S, E, N): 408410.160, 5256282.769, 1047318.396, 6122214.237

[1] Metz M., Andreo V., Neteler M. (2017): A new complete time series of land surface temperature from MODIS LST data. Remote sensing, 9(12):1333. DOI: http://dx.doi.org/10.3390/rs9121333

Thanks: We thank the NASA Land Processes Distributed Active Archive Center (LP DAAC) for providing the MODIS LST data. The dataset is based on the MODIS collection V006.

Resources

Name Format Description Link
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip
5 https://mobilithek.info//mdp-api/files/aux/515138719261298688/lst_longterm_monthly_average_sinusoidal_germany.zip

Tags

  • land-surface-temperature
  • modis
  • meteorologisch-geografische-kennwerte
  • atmosphärische-bedingungen
  • gesundheit-und-sicherheit
  • deutschland

Topics

  • ENVI

Categories