OSMON

The OSMON study aims to develop, implement, deliver and demonstrate a platform-independent modular software tool for assessing and monitoring the geolocation accuracy of medium to high resolution optical sensors, expanding on proven technology and providing robust algorithms.

The tool will support Level-1 products from current medium resolution EUMETSAT sensors (such as AVHRR, SLSTR, OLCI) and should be easily extendable to near-future sensors like MetImage, etc.

Automatic and user-specified reporting and analysis tools for checking spatial and temporal agreement and identifying mismatches will be supplied

Objectives
Overview
Schedule
Study Meetings
Contact

 

Objectives

The main project objectives are

  • Generating and delivering a stand-alone environment for assessing the geolocation accuracy of moderate to high resolution optical satellite sensors.
  • Developing, testing and documenting an automatic monitoring and reporting system for detecting and quantifying possible geolocation errors.
  • Providing tools for continuously monitoring geolocation performance of image data as they are acquired and circulated to users.
  • Enabling quick and reliable validation of new datasets in case of a change in the processing baseline for optical sensor products that might affect the geolocation accuracy.
  • Evaluating the spectral and temporal registration accuracy and stability of EUMETSAT optical sensor payloads by analysing long time series.

Overview

The Geolocation Assessment Tool has a modular design. It will consist of a Core Module and a Reporting Module.

The core module performs the calculation of the geolocation shifts between MROI and high-resolution reference data using features which are clearly identifiable in MROI data sets (such as lakes, islands).

Figure 1
 
Figure 1: Example of the tool
 

The reporting module takes care of visualisation (Figure1), evaluation and analyses of geolocation shifts and generation of reports.

Figure 2 shows the concept of the processing line. Input to the procedure are Level1B (swath geometry) or Level-2 (geocoded) MROI data from METOP AVHRR/3, and Sentinel-3A/B SLSTR and OLCI. The module design allows to add other and upcoming MROI sensors like MetImage.

Figure 2
 
Figure 2: Concept of processing line

Schedule

Phase Details
Kick-Off 19/11/2018
Duration 18 months
Status Ongoing
WP1 Project Management
WP2 State of the Art and Consolidation of Requirements
WP3 Prototype development
WP4 System Implementation
WP5 Demonstration of Operation and Evaluation
WP6 Evolution Plan and Project Outreach

Study Meetings

Phase Date and location
Kick-Off 19/11/2018
PM1 March 2019
PM2 May 2019
Mid-term Review Sept 2019
PM3 Dec 2019
PM4 March 2020
Final presentation May 2020

Contact

EUMETSAT Project Manager
Johannes Müller
Remote Sensing and Products Division
EUMETSAT
Email
Thomas Nagler
ENVEO IT Gmbh, Austria
Email
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