gms-vis: a web-based visual-analytics approach for input data assessment, job parameter definition and progress monitoring for the GeoMultiSens platform

Cite as:

Eggert, Daniel; Sips, Mike; Dransch, Doris (2018): gms-vis: a web-based visual-analytics approach for input data assessment, job parameter definition and progress monitoring for the GeoMultiSens platform. V. 1.0.0. GFZ Data Services. https://doi.org/10.5880/GFZ.1.5.2018.001

Status

I N R E V I E W : Eggert, Daniel; Sips, Mike; Dransch, Doris (2018): gms-vis: a web-based visual-analytics approach for input data assessment, job parameter definition and progress monitoring for the GeoMultiSens platform. V. 1.0.0. GFZ Data Services. https://doi.org/10.5880/GFZ.1.5.2018.001

Abstract

gms-vis is a web-based implementation of our visual-analytics approach for assessing remote-sensing data. It is implemented based on the GWT framework. Once deployed through a webserver it acts as the user interface for the GeoMultiSens (GMS) platform.

Within the interface users can intuitively define spatial, temporal as well as quality constraints, for remote sensing scenes. A heatmap enables the user to assess the spatial distribution of selected scenes, while a time histogram allows the user to assess their temporal distribution. Finally, users can specify a workflow which will be executed by the GeoMultiSens platform. Though gms-vis is part of the GeoMultiSens platform, it is relatively self-contained and can be attached to different analysis frameworks and platforms with reasonable effort.