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Workshop on Remote Sensing and Environment Change in the Horn of Africa 12-13 June 2007, Nairobi, Kenya Open Standards and Spatial Data Infrastructures:

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Presentation on theme: "Workshop on Remote Sensing and Environment Change in the Horn of Africa 12-13 June 2007, Nairobi, Kenya Open Standards and Spatial Data Infrastructures:"— Presentation transcript:

1 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Open Standards and Spatial Data Infrastructures: A Cure for Digital Constipation? Mick Wilson, United Nations Environment Programme, Division of Early Warning and Assessment (UNEP/DEWA), on behalf of the UN Geo-Information Working Group (UNGIWG) and the UN Spatial Data Infrastructure (UNSDI)

2 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Remote sensing Environment change Horn of Africa Time for Lunch?

3 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya The Problem? Zillions and Zillions of Mega-bytes 42

4 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya The Usual Approach The Historical Stack single use localized inflexible inextensible expensive ubiquitous People A home Intellectual capacity $$$$ Cost $$$$ Data, Images Processing Hardware The Traditional Stack Processing Software Amount of, Availability

5 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Seeking re-use  Hardware and software  Algorithms and methodologies  Experiences and contacts extensibility and adaptability  emerging requirements and technologies "life" beyond the lifetime of any one project Infrastructure

6 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Example 1 – Fire in South Africa Frequent, intense grassfires ESKOM: over 250,000 km of HT and distribution lines $50m damage in 2001 Problem is not just burnt infrastructure Gases, smoke cause arcing between HT lines -> damage to industrial and domestic equipment hundreds of km away

7 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya AFIS – Advanced Fire Information System Goals: Rapid detection, characterization (size, location) Effective response: less disruption, less damage CSIR- SAC Meteosat SEVERI GEO, 5km res. 15 min revisit Terra/ Aqua MODIS LEO, 1km res. 6 hr revisit Rectification, Feature extraction, Hotspot ID Hotspot Archive Spatial Database Infra-red signature Context analysis, “Any hotspots with 5km?” Fire Alerts Generator WFS SOS GSM SMS Contextual Spatial Database e.g. HT lines, depot locations WFS, WCS SMTP !

8 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Consider the Transformations Image Data “42” NASA, Eumetsat CSIRESKOM Field Ops Action Features ESKOMCSIR/ Meraka 100,000,000s1,000,000s Significant Features 10,000s Decision, Instruction 100s Hemispheric Observation Geosync Orbit 40,000 km Just down the Road 10 km National System 1000 km Threats within 5km Which parts of this sequence is Africa best equipped to manage?

9 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Consider the Possible Extensions Rectification, Feature extraction, Hotspot ID Hotspot Archive Spatial Database WFS SOS GSM SMS Contextual Spatial Database e.g HT lines, depot locations WFS, WCS SMTP ! ! WFS Protected areas/ biodiversity Spatial Database WFS Context analysis: “Which hotspots are inside national Parks and are more than 5km from a usable track?” Intelligent Fire Alerts Generator GSM SMS SMTP SOS National Roads Spatial Database WFS Context analysis: “Which hotspots are within 5km and have strong winds from the wrong direction?” Intelligent Fire Alerts Generator SOS National weather service wind stress WFS

10 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Salient points Outwardly simple Extensible – new components can be added Adaptable – Existing components can have new uses Incremental – don’t need all the pieces before anything works Migratable – develop components overseas, bring them home as capacity improves Requires agreement, governance Undermines control?

11 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Example 2 – Glacial Lake Outburst Floods Increasing risk as temps rise Over 9000 glacier lakes in Himalaya/ Hindu Kush Estimate ~100 may pose threat Sudden, catastrophic, destructive floods Difficult to monitor lakes– altitude, cloud cover, severe terrain

12 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Concept: GLOF risk assessment by Radar Pros: – All images cloud-free – Works day or night – Spatial resolution good – Flat surfaces readily detected (no return signal) – Altimetry comes for free -> good change detection Cons: – No free data – Very large data volumes, difficult to move and process in HHK region – Complex processing, specialized algorithms – SAR looks cross-track so seeing into steep valleys can be tricky

13 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Concept: GLOF risk assessment by Radar Constraints: we the UN cannot – Redefine EU data policies – Build new receivers, new internet capacity in Nepal – Change the physics of radar signal – Fix the geometric limitations of synthetic apertures Advantages: we the UN can: – Negotiate access to special capabilities (algorithms, procedures, high-velocity networks, MIPs)  So, try to use our influence broker arrangements where our partners: Get better access to better data products Deal less with data and more with information

14 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya GLOF Monitoring/Alert System Concept Envisat ESA Frascati, Italy Initial cleaning Change detection (level) Feature analysis (extent) Threat Modeling Etc etc Proven algorithms Hi-capacity parallel processing Hi-speed networks Governance structure European DataGrid Internet2 Data Repository, location TBD (JRC? UCL? UNOSAT/CERN?) Analyze, contextualize advise Member States Internet ICIMOD, Nepal

15 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Salient points “Outsources” data supply, processing and governance Explores new technology combinations – open GIS and “grid” processing Extensible – new components can be added Adaptable – Existing components can have new uses Incremental – don’t need all the pieces before anything works Migratable –bring components home as their utility and value are demonstrated

16 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya And what about SDI’s Bring together technologies, methods and governance Use standard building blocks with well-know interfaces using open standards Encourage component-based, incremental development  Distribute R&D/development costs  Reusability Small economies can develop needed components rather than whole systems New components can be developed and “plugged in” based on known interfaces Focus on services rather than products

17 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Key messages Distributed systems built on open standards: overcome access bottlenecks offer extensibility, re-use and adaptability mean you focus on the important bits of the problem because the infrastructure’s in place are in use today can be relevant to assessment and decision- support tasks in the Horn of Africa today

18 Workshop on Remote Sensing and Environment Change in the Horn of Africa June 2007, Nairobi, Kenya Finale UN Geo-Information Working Group (UNGIWG) UN Spatial data Infrastructure (UNSDI) concept SDI’s a key capacity to the UN’s future ability to serve Member States Consultation on East African requirements for UNSDI late July 2007, UN Complex, Nairobi in conjunction with KNSDI? unep.org als.unep.org phone +254 (20)


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