Abstract
Change detection is an important application in remote sensing earth observation which leads to identification of significant environmental events, forest and agricultural land monitoring. In this paper, we introduce a standalone software for two well-known change detection methods, omnibus test and iteratively re-weighted multivariate alteration detection (IR-MAD). Omnibus test deals with synthetic aperture radar (SAR) data and detects changes based on computing a sequence of test statistics of covariance matrices and IR-MAD computes the changes between two time points of optical data. Given the availability of earth observation data from different sources and in large amount, the important role of a free software which can deal with big data is apparent.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2019 conference on Big Data from Space |
| Publisher | Publications Office of the European Union |
| Publication date | 2019 |
| Pages | 205-208 |
| ISBN (Print) | 978-92-76-00034-1 |
| Publication status | Published - 2019 |
| Event | Conference on Big Data from Space - Alte Kongresshalle, Munich, Germany Duration: 19 Feb 2019 → 21 Feb 2019 |
Conference
| Conference | Conference on Big Data from Space |
|---|---|
| Location | Alte Kongresshalle |
| Country/Territory | Germany |
| City | Munich |
| Period | 19/02/2019 → 21/02/2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
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