GeoChronos: A Platform for Earth Observation Scientists

Slide 1: GeoChronos: A platform for Earth Observation Scientists Roger Curry Grid Research Centre University of Calgary

Slide 2: GeoChronos Platform • Basic idea is to bring together: – scientific applications – access to data – collaborative tools • Leverage social networking and web 2.0 technologies to create an environment that facilitates scientific research and collaboration in the earth observation sciences • CANARIE NEP proposal submitted

Slide 3: GeoChronos Conceptual Overview

Slide 4: Cybera Pilot Project: Conceptual Overview MODIS Data Acquisition System protoptye for

Slide 5: Cybera Pilot Project: Conceptual Overview MODIS Data Acquisition System protoptye for •Accessing MODIS data is a difficult and time-consuming process for the scientist –Access to data –Cloud cover (data quality assurance) –Mosaicing/Reprojection/Subsetting

Slide 6: Access to Data

Slide 7: Cloud cover (quality assurance) • Only want to keep/analyze cloud free data. • NASA provides cloud cover metadata BUT: – Is it correct? Is it the right metadata? • gives a % coverage the entire image, not for a specific geographic region within it. • How to determine whether data is ‘good’? – Can visually inspect – Can we use a different source of data/metadata?

Slide 8: Using externally derived meta-data for QA Photosynthetically Active Radiation (PAR)

Slide 9: Mosaicing/Reprojection/Subsetting NASA MRT

Slide 10: Challenges • Access to data – Web form to request data – FTP access to retrieve data • Cloud cover (data quality assurance) – Available Metadata does not meet needs of the scientists • Mosaicing / Reprojection / Subsetting – Scientists used to working with GUI based tools • Want to automate these processes!

Slide 11: Goals of the MODIS DAS prototype • Enable programmatic access to data • Provide subscription mechanisms to the scientist • Provide a simple user interface • Incorporate use of metadata that could be populated from different sources • Automate manual processing of data

Slide 12: MODIS DAS Prototype components Mosaicing MODIS MODIS Reprojection DAS portal Satellite Data Subsetting Data NASA EOS DAS / DMS Processing Data Engine gateway(s) QA Meteorological metadata ground station annotation Other mechanisms

Slide 13: Future DAS architecture

Slide 14: NASA Cooperation • Land Processes Distributed Active Archive Center (LPDAAC) • Email communication and teleconference meeting conducted to discuss possible options for accessing MODIS data • Use of the subscription mechanism provided by NASA requires a written request for the data; however these subscription requests can be automatically. NASA reviews these requests and decides whether to provide the data. • Subscriptions for MODIS data have been initiated for all (9) TROPI-DRY sites; 15 different products are collected on various intervals. • An email notification from NASA indicates the availability of new package of data; an FTP pull mechanism is then used to obtain the data

Slide 15: CI solution • Mashup – Data from NASA LPDAAC – Google maps – Facebook – hdfviewer/imager – MODIS Reprojection Tool (MRT) • Social networking portal – Facebook • XSL for formatting metadata • Still investigating: – Data Management Systems • Proactive Data Management System (PDMS) • Storage Resource Broker (SRB) – Existing metadata standards • Federal Geographic Data Committee • FGDC-STD-001-1998 • GML • Demo

Slide 16: MODIS DAS Portal

Slide 21: Benefits of this pilot • Facilitates important research in the Earth Observation Sciences – Let the scientists do their science • Builds cyberinfrastructure – Hardens the existing relevant technologies • Domain specific focus ensures adoption by domain scientists – Development of new reusable CI- middleware

Slide 22: Next steps for GeoChronos Interactive Application Service (IAS) integration with MODIS data

Slide 23: Questions? http://grid.ucalgary.ca

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