Data Set Characteristics
Area = ~2330 x 2000 km
Image Dimensions = 2 (~2030x1354 row/column)
Average File Size = 26 MB
Resolution = 1 kilometer at nadir
Projection = None (swath data)
Land Surface Temperature (LST) Data Type = 16-bit Unsigned Integer
Emissivity Data Type = 8-bit Unsigned Integer
Data Format = HDF-EOS
Science Data Sets (SDS) = 9
Product Description
MODIS Land Surface Temperature and Emissivity (LST/E) products provide per-pixel
temperature and emissivity values. Temperatures are extracted in Kelvin with a
view-angle dependent algorithm applied to direct observations. This method
yields 1 K accuracy for materials with known emissivities. The view angle
information is included in each LST/E product. Emissivities are estimates
derived from applying algorithm output to database information. The LST/E
algorithms use MODIS data as input, including geolocation, radiance, cloud
masking, atmospheric temperature, water vapor, snow, and land cover. The
temperature products in turn are key inputs to many of the high level MODIS
products and provide data for global temperature mapping and change observation.
On land, soil and canopy temperature are among the main determinants of the rate
of growth of vegetation and they govern seasonal start and termination of
growth. Hydrologic processes such as evapotranspiration and snow and ice melt
are highly sensitive to surface temperature fluctuation, which is also an
important discriminating factor in classification of land surface types.
The above false-colored MYD11_L2 image shows the nighttime LSTs retrieved from
Aqua MODIS data over the Caspian Sea, Persian Gulf
and Gulf of Oman regions during five minutes of orbit starting at 21:45
on February 5, 2004. The pixels in black are in water or in areas covered by
clouds, where there is no valid LST value in the MYD11_L2 product.
NOTE: These products are validated, meaning
that product uncertainties are well defined over a range of representative
conditions. Although there may be later improved versions, these data are ready
for use in scientific publications.
LP DAAC User Services
U.S. Geological Survey (USGS)
Earth Resources Observation and Science Center (EROS)
47914 252nd Street
Sioux Falls, SD 57198-0001