GeoMultiSens

Scalable Multi-Sensor Analysis Platform for Remote Sensing Data

GeoMultiSens provides an integrated processing pipeline to support the analysis of homogenized data from various remote sensing archives. The processing pipeline has five main components: (1) visual assessment of remote sensing Earth observations, (2) homogenization of selected Earth observation, (3) efficient data management with XtreemFS, (4) Python-based parallel processing and analysis algorithms implemented in a Flink cloud environment, and (5) visual exploration of the results.

User group

International user community of geospatial analysts and remote sensing experts.

Features

GeoMultiSens comes with several packages (see GitLab). Its core functions are:

  • Data Browser – the visual assessment of remote sensing Earth observations
  • Flink Operators -- Processing large data through parallel cloud computing based on specific flink operators

Data Browser:

Contact


Mike Sips
Group Leader
Dr. Mike Sips
Remote Sensing and Geoinformatics
Telegrafenberg
Building A 20, Room 303
14473 Potsdam
+49 331 288-1982
Profile

Additional Information

Get started:

Website

GitLab

Licence:

GPLv3

Release:

V. 1.0.0.

Programming language:

Python + Flink cloud environment

Keywords:

#visual assessment of remote sensing #earth observations #homogenization of remote sensing archives #multi-sensor analysis #processing large data through parallel cloud computing

DOI:

10.5880/GFZ.1.5.2018.005

Main contributing organisations:

Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences

Humboldt-Universität zu Berlin

ZUSE Institute Berlin

Funding:

German Federal Ministry of Education and Research