Space Data Management System (SDMS) - ESA...
Transcript of Space Data Management System (SDMS) - ESA...
Space Data Management System (SDMS)
Acquire, Query, Process and Deliver Earth Observation Data and Forest Information
Products to Developing Countries Pilot & Project
I.Jonckheere, E. Lindquist & A. Pekkarinen FAO Forestry Department
Sentinel-2 for Science Symposium Frascati, IT, May 2014
National Forest Monitoring Systems for REDD+ FAO Approach
Satellite Land Monitoring System
National Forest Inventory
GHG Inventory
NATIONAL FOREST MONITORING SYSTEM
MRV MONITORING
Web Interface
Community Monitoring
Other Forest-Related Monitoring Systems
For monitoring and reporting on
REDD+ activities
For assessing national area change over
time (Activity Data)
For assessing national carbon stock changes
(Emission Factors)
Problem • Measurement and monitoring of land cover / use
at national scale in developing countries is required for REDD+
• Poor access to satellite data, limited expertise and computing power are bottlenecks
• Particularly challenging to turn data into useful information / country statistics
Problem – Current Situation • Data is free but still disaggregated and can be
non-intuitive to search, query and download • Software is free but version control is
challenging, dependencies are a pain, use can be complicated, disjointed
• Computers are cheaper but infrastructure required for high performance processing is challenging for developing nations
• Internet is everywhere but many ministry departments have challenges to access
Solution • Easy(er) access to space data; • Easy(er) access to processing tools; • More intuitive / streamlined / automatic (pre)
processing; • Reduce burden of computing infrastructure; • Reduce data dimensionality for download; • Cloud-based or desktop functionality; • National ‘ownership’ / ‘control’ of data and
products; • Fully open-source…
SDMS Objectives Improve data access and delivery of (pre)processed satellite data and forest information products to enable developing countries to build the autonomous capacity to monitor their forest-related REDD+ activities.
Project Focus and Outputs
• Monitoring using (pre)processed satellite data
• Capacity building • Delivery of (pre)processed satellite data
• Development of open-source software tools
• REDD+ compliant
• Managed server + secure storage
• Internet-based + desktop functionality
• Simple user interface
• Metadata query and data retrieval as needed from existing repositories (Landsat, MODIS, Sentinel, WELD, etc…)
SDMS structure
• Open-source image processing and analysis (OpenForis, R, GDAL, etc.)
• Automation of key processing steps
• Compliant with GFOI Methods and Guidance http://gfoi.org/methods-guidance-documentation
• Consistently updated
SDMS structure
FAO Forestry
Open source image processing Linux / Mac / Cygwin compatible Command line Pixel or object-based image analysis Updated regularly Wiki and example exercises http://km.fao.org/OFwiki/index.php/Main_Page
http://www.fao.org/forestry/fma/openforis/en/
SDMS processing
Advanced image interpretation, open source platform
FAO Forestry
OpenFORIS
Image Segmentation and Classification
Time 1 Time 2
Advanced image interpretation, open source platform
FAO Forestry
Multi-date Image Segmentation
OpenFORIS
z
EXAMPLES
FAO Forestry
OpenFORIS Toolkit
http://km.fao.org/OFwiki/index.php/Main_Page
Change in forest cover T 1 - T 2 Automatic change detection
z
Advanced image interpretation, open source platform
FAO Forestry
OpenFORIS Toolkit
http://km.fao.org/OFwiki/index.php/Main_Page
Automatic image normalisation
Time 1 Time 2 Time 2 Normalized
Open Foris Collect Earth: a new feature sampling with open source software and free Google internet resources
Open Foris Collect Earth Papua New Guinea: support to 1st phase NFI and LULUCF REDD+ activity data assessment
Countries preliminary priority Africa (4) DRC, Zambia, Tanzania, Uganda
South America (7) Colombia, Peru, Paraguay,
Ecuador, Nicaragua, Guyana, Mexico
Asia (2) Vietnam, Nepal
• Target priority countries based on actual capacity, FAO actually working in-country
Why is this different from other initiatives? • Access to open and commercial data (HR); • Training for data processing; • National control; • Hosted by FAO: representing the countries' interest; • Similar cloud-based and desktop functionality;
SDMS Partners
• Government of Norway • Kongsberg Satellite Services (KSAT) • NASA • Analytical Mechanics and Associates (AMA) • Global Forest Observation Initiative (GFOI)
SDMS Conclusion
• Improve connection between data / users / information products for REDD+
• Increase production speed of products required for MRV
• Open, flexible system for rapid and standardized image processing
• Building national capacity for autonomous creation of national statistics
• Counting on Sentinel-2 data
SDMS processing • 4 things make a SDMS feasible today:
• Free data • Free, sophisticated open-source tools • Increased processing power of computers • Increased speed of internet connection
SDMS Pilot SDMS Pilot to demonstrate a prototype cloud-based architecture • Timing: January to June • Test countries: three countries (Ecuador, Uganda and Tanzania)
already initiated to test the concept • Actual status:
– Set-up of platform with NASA/AMA actually ongoing – Set-up of high band-width internet connection in countries
• Goal: 1. Interactive selection and storage of optical land imaging scenes, 2. Storage of historical image coverage archive, and 3. Interactive and automated processing of stored imagery using an
existing set of algorithms/tools, 4. Distribution of data & forest information products to the 3 predefined
pilot countries
Project
• 3 year project • 4 countries in 2014 • 4-6 new countries in 2015 • 4-6 new countries in 2016 • Selection of 13 countries in which FAO will work anyway • FAO mechanism is expected to rationalize the work that
FAO already performs, thereby enhancing its capacity allowing to assist more developing forest countries in a more efficient way using the cloud-based architecture