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COPS Project

Project Title   Cooperation EO sensors
Project Acronym   COPS
Contractor(s)   INDRA Espacio, SSF (Finland), VTT (Finland), Finish Meteorological Institute (FMI, Finland) Starlab (Spain), Universidad Politecnica de Cataluna (Spain), Instituto de Ciencias del Mar (Spain) and Keller-Terra (Spain)


Project Context
How it will work


Context   Top

This project tries to put together in-situ sensors and EO data to combine advantage of two worlds:

  Image The quick temporal update of in-situ sensors
  Image The unmatched spatial sampling provided by EO

In fact, accuracy and intrinsic credibility of in-situ measurements, and the scope of remotely sensed data, could support and enchance each other.

COPS addresses innovative applications in which EO and In-situ sensors can be "combined" (beyond current situation in DUE, GMES, etc). Such applications are being higly enabled by the recent advances in GIS standardisation by OCG, which enables easy access to sensors as though they were web resources. The "combination" of EO and in situ sensors - however it is performed - is generic and none of them has any privileged preference.


Some examples of EO and in situ sensor networks combinationations could be:

  Image EO data calibration. Continuation of calibration activities beyond the nominal calibration period. Easy to reuse calibration HW set-ups across missions, etc.
  Image Data fusion for better product generation. For example usage of in-situ information to discard out of range EO data, or the integration of known parameters from in-situ data to better estimate the high level bio-physical parameters from EO.
  Image Satellite tasking. For example: go-no-go last minute decision for image acquisition.
  Image Combination of temporal sampling from in-situ with the spatial sampling from EO.
  Image Easier access to ancillary data with coordinates enabling superior performance without the burden of looking for the last ancillary data update.
  Image Easier access to EO data. For example the conversion of Permanent Scatterers from INSAR into easily accessible " virtual in-situ sensors" which then can be more easily combined with land instrumentation.


Objectives   Top

The general objective of the work specified is to research innovative ways in which remotely sensed EO data and (related) data collected in situ could be exploited in such a way to make the best use of their respective intrinsic qualities. It is to be noted that the vision is one in which remotely sensed and locally measured data are brought together "on an equal footing" and are accessed by a user without prejudice as to the way in which the data were collected. This could take place either for well established applications, in which case the data from the different sources could be already processed in the most appropriate manner, or for new applications, in which case the specific processing required is left to the user.

More concretely, COPS is to research and demonstrate innovative ways in which remotely sensed EO data and other relevant data collected in-situ could be exploited in such a way to make the best use of their respective intrinsic qualities. The two worlds could also interact dynamically, exchanging tasking information in order to better cope with less pre-defined situations (e.g.: automatic anomaly detection, alerts to users or systems, acquisition frequency modulation, compensation of faulty devices, fast generation and selective distribution of specific information, etc.).

The intent of COPS is to advance the technology beyond what has already been established, by broadening scope of the applications and/or making the synergy between remotely and locally sensed data more systematic (it is not to develop and field new services).

The technical or specific main objectives of the project are to:

  • identify the potential applications and the data sources
  • develop a conceptual scheme for the implementation of these applications
  • identify the components that could be obtained from the open market to support such schemes, and conversely the ones that need development
  • implement and briefly operate a TBD number of prototypes
  • analyse the implementation and operation of the prototypes
  • extend the analyssis to the potential and the weaknessees of this vision
  • contribute to the standardization work currently undertaken in this domain
  • draw some conclusions about opportunities for further work and related developments

Architecture   Top

The strengths of two different new technologies are the base of the COPS architecture both of them OGC



Figure 1: COPS preliminary architecture


Figure 2: Sensor ML allows interoperability



How it will work   Top

This topic is still in discussion and it will apper in future versions of the web page.

Contributors to this page: andreadv .

Page last modified on Tuesday 14 of December 2010 12:31:03 CET by andreadv.