Avia-GIS processing software of low resolution meteorological satellite imagery
|Project type:||Product development|
|Time frame:||2002 - todate|
|Geographic keyword: World|
|General keyword: Remote sensing | Software development|
|Specific keyword: Time series analysis | AVHRR/MODIS processing chain | Image classification | Fourier transformation|
Low-resolution remote sensing processing software Biological and epidemiological processes, such as disease prevalence, abundance and distribution of living organisms are influenced in time and space by a number of biotic (e.g. vegetation) and abiotic (e.g. temperature, humidity...) parameters. Evaluation of these parameters and their evolution is greatly assisted by spatial information techniques, allowing for long-term data collection at regular intervals. Weather satellites (such as the NOAA and Meteosat series of satellites) and environmental monitoring satellites (such as SPOT Vegetation, MODIS, Envisat) are especially well suited for this type of data collection because of the short time interval at which a certain area is recorded. Because of the global coverage, the temporal resolution of 12 hours, the spatial resolution of 1.1 km, the spectral properties (4 to 5 spectral channels, i.e. vegetation, moisture and temperature correlates) and the (free of cost) online availability of a long term data archive, Avia-GIS has chosen NOAA-AVHRR (Advanced Very High Resolution Radiometer) satellite images as its main data source to build long-term (historical) time series of parameters related to the physical environment (climate and vegetation patterns) in the framework of its spatial epidemiology related projects. More recently Avia-GIS also selected MODIS as an alternative for NOAA imagery, available since 2000 onwards. This is because of the increased spatial resolution of MODIS versus NOAA (up to 250 m) as well as the improved spectral properties (36 bands). Moreover, the spectral bands that are present with the NOAA satellite are also available with MODIS, thus integration of data originating from both satellite series for long-term time series analysis remains possible. In spite of the online accessibility of both NOAA-AVHRR and MODIS images, most potential users refrain from using those because either the format of the raw images and the processing procedures are complex, or already processed data offered by institutions or companies are not always tailored to the exact needs of the end-user. For the implementation of the Avia-GIS projects and to assist potential end-users with the processing of raw NOAA-AVHRR and MODIS images, Avia-GIS has developed its own software package: "Sat-geoTools". The Sat-geoTools manual reports all options and methods available in the current version. With this software and manual and through "on-the-job" training courses that use realistic case studies and integrate other land-evaluation techniques (geo-statistics, data transformations, GIS...), Avia-GIS wants to demonstrate the value of multi-spectral remote sensing data in a wide range of sciences, such as biological habitat mapping, livestock geography, spatial epidemiology, parasitology, human ecology and other land evaluation issues with pronounced features in both the space and time domains. The further development of the software is ongoing linked to output needs of Avia-GIS projects.
Legend to the figures: