Temporal Analysis of Satellite Images
Many years ago EARSeL began the process of establishing a Special Interest Group on time series analysis of remote-ly sensed data. This action was stimulated by the open and mostly free access to satellite data archives providing the opportunity to study, for example, environmental changes over a period of more than 30 years which is the minimum time needed to study impacts of climate change. It is no surprise that timeseries analysis of satellite data is a growing field of interest in various scientific disciplines and the use of “old” data experiences a kind of renais-sance. Furthermore there is intensive use of new sensors providing data with global coverage in a very short time-scale and enabling in-depth analysis of environmental pro-cesses and anthropogenic impacts.
Land use change at UNESCO World Heritage Site Iguaçu National Park between 1973 and 2011 (Landsat); vegetation is shown in red, deforested areas in light red and blue colour.
The following topics are an interesting start of this new SIG:
- overview of existing data archives, e.g., Landsat, NOAA-AVHRR, MODIS, ERS 1 and 2, InSAR, etc.
- multitemporal data calibration and correction, and on geometric accura-cy of old satellite data
- existing tools for time series analysis in commercial software packages
- development of improved/sophisticated algorithms for change detection
- vegetation dynamics and ecological processes
- applications of multitemporal data
It is obvious that the activities of this Special Interest Group are closely related to many other EarseL SIGs. Therefore a close co-operation is foreseen. The development of sophisti-cated algorithms is an especially important task
The Special Interest Group Temporal Analysis of Image Data is chaired by
Chair: Prof. Eberhard Parlow
University Basel, Switzerland.
Co-chair: Prof. Yifang Ban
Royal Institute of Technology, Stockholm, Sweden.