I.Jonckheere, E. Lindquist & A. Pekkarinen FAO Forestry Department

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1 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

2 National Forest Monitoring Systems for REDD+ FAO Approach NATIONAL FOREST MONITORING SYSTEM MONITORING MRV Satellite Land Monitoring System For assessing national area change over time (Activity Data) For monitoring and reporting on REDD+ activities Web Interface Community Monitoring Other Forest-Related Monitoring Systems National Forest Inventory GHG Inventory For assessing national carbon stock changes (Emission Factors)

3 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

4 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

5 Easy(er) access to space data; Easy(er) access to processing tools; Solution 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

6 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 forestrelated REDD+ activities.

7 SDMS Objectives Data Data Data Users Information

8 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

9 Managed server + secure storage SDMS structure Internet-based + desktop functionality Simple user interface Metadata query and data retrieval as needed from existing repositories (Landsat, MODIS, Sentinel, WELD, etc )

10 SDMS structure Open-source image processing and analysis (OpenForis, R, GDAL, etc.) Automation of key processing steps Compliant with GFOI Methods and Guidance Consistently updated

11 Cloud computing structure (SDMS)

12 Open source image processing Linux / Mac / Cygwin compatible Command line Pixel or object-based image analysis Updated regularly SDMS processing Wiki and example exercises FAO Forestry

13 OpenFORIS Advanced image interpretation, open source platform Image Segmentation and Classification Time 1 Time 2 FAO Forestry

14 OpenFORIS Advanced image interpretation, open source platform Multi-date Image Segmentation FAO Forestry

15 OpenFORIS Advanced image interpretation, open source platform Forest time 1 FAO Forestry

16 OpenFORIS Toolkit EXAMPLES z Change in forest cover T 1 - T 2 Automatic change detection FAO Forestry

17 OpenFORIS Toolkit Advanced image interpretation, open source platform z Time 1 Time 2 Time 2 Normalized Automatic image normalisation FAO Forestry

18 Open Foris Collect Earth: a new feature sampling with open source software and free Google internet resources

19 Open Foris Collect Earth Papua New Guinea: support to 1 st phase NFI and LULUCF REDD+ activity data assessment

20 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

21 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;

22 SDMS Partners Government of Norway Kongsberg Satellite Services (KSAT) NASA Analytical Mechanics and Associates (AMA) Global Forest Observation Initiative (GFOI)

23 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

24 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

25 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

26 Project 3 year project 4 countries in new countries in 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

27 Thank you for your attention!

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