New Cellular automata applications on multi-temporal and spatial analysis of NOAA-AVHRR images
Since 1940, when the Cas was conceived by Ulam and von Neumann, until now, they have been applied to the study of general phenomenological aspects of the world, as a way of understanding the behaviour of complex systems. The basic idea is not to try and describe a complex system from above, but simulating this system by interaction of cells flowing easy rules. In this paper we propose to use cellular automata paradigm fro R.S applications on multi-spectral, multi-temporal and multi-spatial data analysis. In a first approach, we are designing two software applications. These software tools are being implemented in SAI in the global vegetation monitoring in order to process daily NOAA-avhrr data for detecting burnt surfaces and also land/use covers changes at global scales. Results at global scale from daily NOAA-avhrr images GAC-8 km will be presented.
Bibliographic Reference: Paper presented: The EOS symposium on Remote sensing, Florence (IT), 20-24th September (1999)
Availability: Available free of charge from Public Relations and Publications Unit, Ispra (IT)
Record Number: 199911449 / Last updated on: 1999-10-01
Original language: en
Available languages: en