English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  gms-vis: a web-based visual-analytics approach for input data assessment, job parameter definition and progress monitoring for the GeoMultiSens platform

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

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3240897 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3240897_5
Genre: Software

Files

show Files

Locators

show
hide
Locator:
ftp://datapub.gfz-potsdam.de/download/10.5880.GFZ.1.5.2018.001/gms-vis-v1.0.0.zip (Supplementary material)
Description:
Download static version gms-vis-v1.0.0.zip 5.3 Mb
Locator:
https://git.gfz-potsdam.de/geomultisens/gms-vis/ (Supplementary material)
Description:
Link to Project Page at Gitlab
Locator:
http://doi.org/10.1007/s13222-016-0232-7 (Supplementary material)
Description:
Documented by Sips, M., Köthur, P., & Eggert, D. (2016). Toward a Visual Analytics Approach to Support Multi-Sensor Analysis in Remote Sensing Science. Datenbank-Spektrum, 16(3), 219–225. doi:10.1007/s13222-016-0232-7

Creators

show
hide
 Creators:
Eggert, Daniel1, Author              
Sips, M.1, Author              
Dransch, D.1, Author              
Affiliations:
11.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_224064              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s): eng - English
 Dates: 2018
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : GFZ Data Services, V. 1.0.0
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5880/GFZ.1.5.2018.001
 Degree: -

Event

show

Legal Case

show

Project information

show

Source

show