Daily, gapless MODIS LST data (2003-2022)

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.