|
|
Satellite Data for the Mapping of Urban Quality
|
Atmospheric pollution in cities is receiving
more and more attention. It has a strong impact upon our daily life and
is one of the major issues to be tackled by our society. The car traffic
is often the major cause of the pollution when linked to particular atmospheric
conditions (stable atmosphere, no wind, strong insolation) and induces
breathing diseases. Networks of air quality measuring instruments have
been established in major cities. They are composed of a few measuring
stations. They are a means for alert and are also valuable to researchers
and decision-makers for the analysis of air quality: how it evolves according
to the various parameters affecting it. Air quality is highly variable
within a city. It is namely but not uniquely a function of the intensities
of the air advection and turbulent diffusion around the pollution sources.
These sources may have a large extension, as it is the case for exhaust
gas of vehicle motors. An accurate mapping of the air quality is not
currently possible only using the measuring network.
Several recent works demonstrate that periodic observations made by
current satellites may efficiently palliate the lack of ground measurements.
These satellites are regularly providing images of the Earth, acquired
in several wavelengths (figure 1 and insert). Large correlations have
been found between satellite observations and measurements of air quality,
such as black particulates, sulphur dioxide or nitrogen dioxide (figure
2).
These preliminary results are very encouraging. The analysis of several
cases will permit to conceive models explaining the perception of the
pollution by satellite. These models should take into account in a detailed
manner the various optical properties of the urban landscape, which can
be provided by a relevant processing of satellite or aircraft observations.
Given a polluant quantity, they would provide the satellite signal. From
these "direct" models, "inverse" models will be deduced,
which convert a satellite or aircraft image into a pollutant quantity.
Once applied to any image periodically acquired over a city, these models
will provide a detailed mapping of the air quality.
(In collaboration with Loirestu'Air and Ecole des Mines de Nantes) |

Copyright and courtesy
of Eurimage.Figure 1.
|
Sample of an image of the city of Nantes,
acquired by the satellite Landsat (TM-4, at 0.8 microns), on May 22,
1992. The network of streets is fairly seen in dark tones, as well as
the Loire river and the airport in the South. Fourteen stations are located
within the urban area, twelve for the city itself. Among them, three
only are measuring nitrogen dioxide (NO2) and four sulfur dioxide (SO2).
|
|
Figure 2 |
|
| |
Figure 2. Correlation between black particulates for May 22, 1992 (FN,
in mg/m3) and satellite measurements taken in thermal infrared (about
11.5 microns, in arbitrary units), in the left graph, and between nitrogen
dioxide concentration (NO2, in g/m3) measured while the satellite was
overpassing, and the satellite measurements in near infrared (about 2
microns, in arbitrary units), in the right graph. The correlation coefficients
are respectively 0.96 and 0.98.
Several satellites observe daily our environment,
such as the SPOT (satellite pour l'observation de la Terre), Landsat
series and the Russian missions. They are equipped with sensors having
a resolution of 2 to 30 m, they measure the energy reflected or emitted
by the objects on the ground in selected spectral bands. They provide
images covering large surfaces and are a valuable tool for mapping.
From these measurements, the optical properties can be deduced, which
allow the detection and recognition of these objects. The period for
observations is about twenty days. It is too much for the monitoring
of a burst of pollution, but enough to build up a set of cases for
the design and realisation of models.
|
Modified on 05/15/2003 at 15:59
Creator:
sophia webmaster
|
|
|
|
|