This information can be used for monitoring, change detection, surface-vegetation atmosphere transfer (SVAT) modeling, and surface energy balance investigations for climatic modeling and upscaling. Therefore, atmospheric correction is an essential part of preprocessing and a prerequisite for the derivation of certain value added products.
For satellite sensors with a small field-of-view (FOV) the solar and view geometry can be treated as approximately constant. Since satellite sensors operate outside the earth's atmosphere a database of atmospheric correction functions can be compiled for a common altitude based on calculations with a radiative transfer code. This database was compiled for the satellite sensors supported by ATCOR. However, airborne sensors operate in a range of tropospheric altitudes and typically have a large field-of-view. Therefore, a compilation of the corresponding airborne atmospheric database has to account for the altitude dependence and the scan angle dependence.
Therefore, the ATCOR models have been split into separate codes optimized for satellite sensors and airborne sensors.
An integral part of all ATCOR versions is a large database containing the results of radiative transfer calculations based on the MODTRAN-4 code. While ATCOR uses the AFRL MODTRAN code to calculate the database of atmospheric look-up tables (LUT), the correctness of the LUTs is the responsibility of ATCOR.
The satellite ATCOR supports only small to moderate FOV sensors and
consists of separate codes for flat and rugged terrain. It includes a large
database of atmospheric correction functions (look-up-tables computed with
the MODTRAN 4 radiative transfer code) covering a wide range of weather
conditions, sun angles, and ground elevations.
The airborne ATCOR (called ATCOR-4 because of the 4 geometric degrees-of-freedom: x, y, z, and scan angle) treats small and wide FOV sensors. For computational efficiency, there are separate modules for flat and rugged terrain imagery. A large "monochromatic" database of atmospheric correction functions comes with the ATCOR-4 model. The database was compiled with the MODTRAN-4 code (DISORT, 8 stream option). It comprises the altitudes 1 km to 10 km and 20 km (1 km increment, with occasional larger gaps). For a given sensor and range of operating altitudes the corresponding altitude files from the monochromatic database have to be resampled with the spectral filter functions of all channels. This is the only preparation before starting with the atmospheric correction. Unlike with previous ATCOR-4 versions (versions below 3.0), a run of a radiative transfer code is no more necessary.
Another example shows part of an Ikonos scene of Dresden, 18 August 2002,
©Space Imaging Europe 2002, demonstrating a successful haze removal.
Ikonos bands 4, 2, 1 (NIR, Green, Blue) are color coded RGB.
The next image is a small Landsat-5 TM sub-scene of Makhtesh-Ramon (Israel) acquired 21 September 1995. The image was processed in the framework of a joint German-Israeli Foundation project. The top part presents the original data of TM bands 7/4/1 (coded RGB), the bottom part is surface reflectance after combined atmospheric/topographic correction. Most of the topographic features that can be seen in the original image are eliminated in the surface reflectance image.
Starting in 2005, the ATCOR versions include an algorithm for the removal of cloud shadow effects. An example of a Landsat-7 ETM+ sub-scene is shown below. The scene was recorded on 1 May 2000, and covers part of a rural area from Mecklenburg, Germany. The solar zenith angle was 41 degree, the
RGB is displayed with ETM bands 4/5/3 (830/16050/660 nm).
An example of de-shadowing of an airborne scene is presented next. In this case, the clouds are located outside of the acquired scene, still the cloud shadow removal works fine. The scene was recorded by the HyMap sensor on July 12, 2003, near Chinchon, Spain. The solar zenith and azimuth angles were 18.3 degree and 124.8 degree, respectively. The color coding is RGB = 878/646/462 nm.
Last Updated: 23-Jan-2008