Imalys: ESIS-Software-Tools – Tutorial Data
Description
Imalys is a software library in the ESIS project. The Imalys library includes a tutorial that shows how image and vector data can be analyzed and transformed into new products. The examples in the tutorial refer to the sample data in Imalys_tutorial_data.zip.
The software repository with source code, binaries, documents and the tutorials is available on GitLab and in an earlier version on GitHub.
In the ESIS project we are trying to put environmental indicators on a well-defined and reproducible basis. The ESIS software library "Imalys" is supposed to generate the remote sensing products defined for ESIS. Landscape diversity, change and different landuse types can be analyzed in time and space. Landuse borders can be delineated and typical landscape structures can be characterized by a self adjusting process.
Acknowledgements:
We thank the Helmholtz Association and the Federal Ministry of Education and Research (BMBF) for supporting the DataHub Initiative of the Research Field Earth and Environment. The DataHub enables an overarching and comprehensive research data management, following FAIR principles, for all topics in the Program Changing Earth – Sustaining our Future.
Parts of the work was funded by the Federal Ministry for Digital and Transport of Germany (BMDV, grant no. 45KI19D041, Artificial Intelligence and Mobility - AIAMO project).
Files
imalys_tutorial_data.zip
Files
(4.6 GB)
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Additional details
Funding
- Helmholtz Centre for Environmental Research
Dates
- Accepted
-
2025-04-03
Software
- Repository URL
- https://codebase.helmholtz.cloud/esis/Imalys
- Programming language
- Pascal
- Development Status
- Active
References
- Selsam, P.; Bumberger, J.; Wellmann, T.; Pause, M.; Gey, R.; Borg, E.; Lausch, A. Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys. Remote Sens. 2024, 16, 1139. https:// doi.org/10.3390/rs16071139
- Lausch A, Selsam P, Pause M, Bumberger J. 2024 Monitoring vegetation-and geodiversity with remote sensing and traits.Phil.Trans.R.Soc.A382: 20230058. https://doi.org/10.1098/rsta.2023.0058
- Selsam, P.; Bumberger, J.; Wellmann, T.; Pause, M.; Gey, R.; Borg,E.; Lausch, A.: Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys. Remote Sens. 2024, 16, 1139. https://doi.org/10.3390/rs16071139