iota2 presentation to a research laboratory : any suggestions/guidances?
Good afternoon,
I will be giving shortly an introduction of iota2 to a french scientific research laboratory. This is not a very technical presentation. But more a general presentation which would simply explain what the use of the iota2 processing chain could bring them to reach their needs. Compared to others remote sensins tools they use (qgis scp, otb, other non-open source tools,etc.). In which cases, which classifications contexts, iota2 would or would not necessarily be relevant. I describe the target audience below. And i share some key ideas. Do not hesitate to give me feedback/others inputs/suggestions/guidances. Thanks so much.
Target audience
geographic (human and physical) research laboratory in study areas over the world (particularly in Africa, Asia, South America). Classification contexts/scales is more agglomerations/metropolitans areas. There are interested by (updating) land covers mapping (temporal resolution). Land cover mapping wouold be Usefulness for the study of environmental dynamics, natural risks, land management. (Urban, crop, “natural”). But there are also interested by others iotas builders (for instance the map features).
Having read several resources on iota2, and having done around ten tests in the Dakar metropolitan area. Here's what would come to my mind
- The first interest of iota2 comes from the processing chain dimension: The worklow design divided into different tasks/steps and groups of tasks. So the user is able able to re-execute a process from/until any task/step
- Iota2 allows to limit the coding requirements/skills (compared to platforms such as Google Earth Engine).
- reading some Web resources : I sometimes read contradictory/paradoxal information. Iota2 makes it possible to limit computer/Remote sensing skills => so relevant for non computers/RS experts. But and on the other hand, others ressources deals with Iota2 as mostly relevant, suitable for RS experts.
- Iota2 is especially interesting for large areas mapping (at least 1 entire Sentinel2 area, several tiles). For areas smaller than the overall footprint of a sentinel2, the interest of iota2 may be less. In this case, the major interest will lie in the management of the time series (for example, other tools would require preprocessing or postprocessing that the user has to consider.)