The showcase exemplifies how IQmulus could respond to the requirements and expectations of expert users (typically hydrologists or geologists) supporting decision makers in civil protection in events related to flooding. In this sense, the showcase integrates in a unique scenario the user stories selected in the original land-related showcases, and enriches them with additional and “futuristic” aspects.
Initially altogether 139 geo-related User Stories (short natural language sentences of the intended functionality of a software system) have been analyzed, filtered and prioritized. The outcome of this process was then used to define initial ‘Showcases’, i.e., basic sets of requirements to drive the early development of the infrastructure, prototypes and basic services in the first phase of the project.
After a lot of interactions with geo-experts, workflows in the following three showcases have been selected for treatment as sample applications and developed as processing services of the IQmulus Platform.
Detailed information about the Showcases and the formulated workflows can also be found in the Deliverable D.1.2.4 from October of 2015.
The showcase is demonstrating how the current process for fusing multiple surveys and surface generation can be improved both in terms of automation and processing spent. These improvements will enable surfaces to be generated for much larger areas and also in response to user control. The user control requires a new approach to the current deconfliction method so surveys selected by users can be combined without the need for human interaction. The user–controlled or interactive deconfliction planned to be implemented in IQmulus will combine the metadata of the different datasets with geometrical properties of the different datasets as well as their spatial relationships.
Given a new data set a cartography expert is tasked with the update of an existing 3D catalogue of urban topographic objects, such as the detection of buildings for monitoring and cadastral updating or individual tree extraction from urban LMMS (Laser Mobile Mapping Systems) data.