- True Color Images
- Air Quality PM10
- Meteo Product
- MODIS Daily Snow Cover
- Fire Product
TRUE COLOR IMAGES
Here you can view the very latest
MODIS image of the Alps and Northern Italy acquired by Eurac Research.
At an orbit of over 700 km above the Earth, the MODIS sensor on board
NASA's Earth Observing System (EOS) Terra and Aqua satellites is capable
of imaging the Earth at resolutions ranging from 250 m to 1 km in 36
spectral bands. The MODIS bands 4, 3, and 1 are displayed here as
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View the True Colour Images of the Last 10 Days
This work is licensed under a
Creative Commons Attribution 4.0 International License
Please credit each image to "EURAC Receiving Station
– Institute for Applied Remote Sensing, Bolzano, Italy" referring link to
our web page http://eomount.eurac.edu.
AIR QUALITY PM 10
The PM10 (Particulate Matter) maps
are based on MODIS Aerosol Optical Depth (AOD) data with a resolution of
10 km. The input data are the MOD04 products, the Boundary Layer Height
(BLH) and the PM data from a set of ground stations. The processing
steps include the estimation of the relationship between the PM, the AOD
and the BLH for historical time series in each of the available
stations. Then, a fitted function is used to estimate the PM
concentration for the entire region of interest. The method, the
validation and the error analysis are published in several papers.
The Meteo Product is a MODIS false colour composite, which highlights clouds and physical cloud properties.
is primarily intended for local weather services for short-range
weather forecasting. We are currently producing near-real time day and
nighttime images over the Alps and South Tyrol for each MODIS
acquisition. For the channel selection and image enhancement, we follow
the EUMETSAT guidelines for meteorological RGB image generations and
select channels 6,2,1 during daytime and channel 20,31,32 during
nighttime. Compared with commonly used AVHRR data, the MODIS RGB images
have four times higher ground resolution of 250 m during the daytime.
This allows a more accurate visual recognition of fog and clouds in
narrow Alpine Valleys and facilitates the visual distinction of snow and
The nighttime MODIS product has a 1 km ground resolution.
Fact Sheet - Day image
Fact Sheet - Night image
MODIS DAILY SNOW COVER
The snow cover map based on MODIS
data has a resolution of 250 m. The input data are the
atmospherically-corrected reflectances of MODIS MOD09GQ, MOD09GA and the
MODIS level 1 product MOD021KM. The processing steps include converting
the map projection (Sinusoidal to UTM WGS 84) and a topographic
correction based on a digital elevation model (DEM). Then snow and
clouds are classified using a decision-tree algorithm. Snow under the
forest canopy is detected by comparing the Normalized Difference
Vegetation Index (NDVI) of a winter image and a reference image from
summer season. To enhance the cloud classification a cloud cover derived
from MODIS level 1 product, MOD021KM is also included.
Fact Sheet &
on the standard MODIS product MOD/MYD14, Eurac Research is producing
night fire alerts in the geographical projection ERTS89
Here a brief description of the
MOD/MYD14 product: MODIS Thermal Anomalies/Fire products are primarily
derived from MODIS 4- and 11-micrometer radiances. The fire detection
strategy is based on absolute detection of a fire (when the fire
strength is sufficient to detect), and on detection relative to its
background (to account for variability of the surface temperature and
reflection by sunlight). Numerous tests are employed to reject typical
false alarm sources like sun glint or an unmasked coastline.
level-2 swath data provided daily at 1 km resolution. The Science Data
Sets of this product include fire-mask, algorithm quality, radiative
power, and numerous layers describing fire pixel attributes.
Terra MODIS instrument acquires data twice daily (10:30 AM and PM), as
does the Aqua MODIS (1:30 AM and PM). These four daily MODIS fire
observations serve to advance global monitoring of the fire process and
its effects on ecosystems, the atmosphere and climate.
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