TOLOMEO WP6 POER tool webpage

A description...

POst Event Risk (POER) Management Tools



Original POER Processing chains

The original design of the processing chains useful for the POER tool is reported here.

chain_scenario_1

First processing chain: simultaneous change detection

chain_scenario_2

Second processing chain: Changedetection by post-classification

chain_scenario_3

Third processing tool: post-event data classification

POER Tools implementation

The implementation of the POER Tools focussed on the development of a post-event data classification strategy according to the third processing chain. The concrete processing chain designed for a post-event classification scenario involving the presented operator is depicted below.

chain4

The operator takes as input the class labels of the first epoch as vector data and an image of the same geographic region taken at a second date (post-event). For the estimation of the class labels for the post-event situation a Hidden Markov Model (HMM) is applied. The interested reader is referred to Feitosa et al. (2014). The POER HMM Cascade is available in InterIMAGE (version 1.40 or higher).

Additional documentation

The final presentation of the POER tools and their results, provided during TOLOMEO Final Meeting, is available here. A video tutorial of the tool is also available here. A detailed written documentation about the usage of the operator is available here .

Where can one find and download POER Tools?

The POER tools are available within the InterIMAGE software, in order to use them one needs first to download and install InterIMAGE version 1.40 or higher, available here.

If one needs help with the InterIMAGE software, there are a mailing list, a wiki and a user guide here.

References

FEITOSA, R.Q., ALVARADO, L. M. T., KLINGER, T., COSTA, G. A. O. P., HEIPKE, C., A Comparison of Statistical and Fuzzy Approaches for Cascade Classification of Multitemporal Remote Sensing images In: 5th GEOBIA, 2014, Thessalonik South-Eastern European Journal of Earth Observation and Geomatics. Thessaloniki: Aristotle University of Thessaloniki, 2014. v.3. p.5 - 10.