UN-SPIDER Regional Support Office in Iran Activities and Future Plans

1. UN-SPIDER Regional Support Office in IranActivities and Future Plans Ali Sadeghi Naeini November 2013, Minsk, Belarus Email: naeini@isa.ir

2. Regional Support Office of Iran4th June 2009, Signing of the cooperation agreement between RSO and UN-OOSA

3. SPIDER Objectives • Outreach Activities Geo-Portal Mapping of Net Solar Radiation • Capacity Building E-Learning System • Support Humanitarian and EmergencyResponse • Knowledge Management • Technical Advisory Mission

4. Geo-Portal Establishing the National Geo-Portal for Archiving, Searching, downloading satellite imagery and value added products

5. Geo-Portal (Objectives) • Data Archiving • Pre-processing & Processing of Satellite imagery • Making facility for searching raw or processed imagery • Data Sharing • Monitoring and early warning • E-Learning • User Requirement Assessment

6. Subsystems of Geo-Portal • Archiving system • Applications of Remote sensing • Monitoring System • Early Warning System • Visual Programming • E-learning • Users community need Assessment System

7. GeoPortal-Stakeholders • 1- Mainly the whole Remote Sensing Users are Audiences and stakeholders • For example : • Basically all of government organization include • Natural disaster management committee , Forest and range land organization, Weather forecasting organization and so on • All Institutes , research centers and universities active in the field of GeoInformation • 2- Contribution and Cooperation between ISA and other International organization • For example : • APSCO • UN-SPIDER

8. 1. Archiving sub-system • TLE، Satellites geolocation status service

9. 1. Archiving sub-system • Catalog Service Simple search Spatial search Data category search

10. 1. Archiving sub-system • Catalog Service Metadata view

11. 2. Remote Sensing sub-system • Visual Programming and enhancement of algorithms A high level and user-friendly visual environment for remote sensing processes

12. Various predefined processes are selected from the top menu 2. Remote Sensing sub-system • Visual Programming and enhancement of algorithms

13. Algorithms for daily products from MODIS and NOAA satellite images have been developed, and are ready to use, accessible from menu. 2. Remote Sensing sub-system • Visual Programming and enhancement of algorithms MODIS Process NOAA Process

14. 2. Remote Sensing sub-system Creating a Monitoring system based on directly acquired satellite images • Currently, 8 products from MODIS satellite images, and 2 products from NOAA satellite images are daily produced . Samples of produced data that are monitored daily: • NDVI “Normalized Difference Vegetation Index” • EVI “Enhanced Vegetation Index” • “Water Body” • NDSI “Snow Coverage” • LST “Land Surface temperature” • SST “Sea level temperature” • “Fire or Hot pixel” product from satellite images and alerting the specified authorities to be confirmed

15. 2. Remote Sensing sub-system “Fire or Hot pixel” product from satellite images and alerting the specified authorities to be confirmed Produced daily from Terra Sensor of MODIS satellite images

16. 2. Remote Sensing sub-system Different ways for informing to users Warning declaration and expiration goes to users through the following ways: Send SMS automatically As a web service Send email automatically

17. 3. Need Assessment system • To explore the requirement of users community and their current resources and facilities in remote sensing area, in order to declare short and long time programs to answer them. Selecting desirable need assessment

18. 3. Need Assessment system • Answering questions Filling need assessment forms by users

19. 3. Need Assessment system 15% of community use Low Resolution Satellite Images 70 % of community use Multi Spectral Satellite Images 10% of community use High Resolution Satellite Images 5% of community use Radar Images No Hyper spectral Images are Used

20. Learning Management System LMS • For e-Learning Management system, an open source application called OLAT is used which uses the following main actors: • Teacher • Adding course content. • Adding or removing learning material, • preparing examinations, • Viewing statistics of students using course material, • storing course files • Student • Searching courses, • taking courses, • participating in exams. • Viewing examination results. • Using glossaries • LMS Manager • Managing teachers status. • Defining and applying access levels. • Taking backup from courses • Module installation • Managing course teachers • Setting system modules active or inactive

21. Introduction to Disaster Management Course Content and Curriculum • Chatper1: What is Disaster? • Chapter2: What is Disaster Management? • Chapter3: Remote Sensing and Disaster Management • Test and Examination • Feedback

22. Target Groups • The course is targeted at: • professionals with skills on the use of GIS and RS background who require knowledge for disaster risk reduction • University students, Researchers interested in the field of Geosciences, GeoInformation, Disaster Management and Environmental protection • Staff in • Disaster Management org • Space technology org,

23. Mapping of Incoming Solar Radiation using MODIS imagery Solar radiation data provide information on how much of the sun's energy strikes a surface at a location on Earth during a particular time period. The objective of the present study was to estimate the Instantaneous and daily incoming shortwave solar radiation flux using MODIS data. • Change with time (minutes, hours) • Change with Date (seasons, years, decades) • Change with location

24. Applications • Allows modeling of the hydrological cycle • Fundamental input for crop growth models • Site selection of solar panels • Models for drought monitoring

25. Tang et al. (2006) model parameterization E0 is the TOA solar irradiance (solar constant: 1368 W/m2), θs the solar zenith angle, d the Earth–Sun distance in astronomical units r representing the TOA broadband albedo, μ : Cos(SZA), w is the perceptible water, a1–a7 are constants for various surfaces

26. MODIS data and products used MOD021KM (first seven MODIS bands) MOD03 (Geolocation product that contains geodetic coordinates, ground elevation, and solar and satellite zenith, and azimuth angle for each MODIS 1-km sample) MOD05-L2 (Precipitable Water product that consists of column water-vapor amounts) MOD35-L2 (Cloud mask products) Quality control of MODIS data and products

27. Results The albedo and NSSR maps for January, 2007 are Albedo

28. NSSR

29. Actions and Future Plans • Developing algorithms and techniques related to Verification and validity of MODIS and NOAA products. • Developing algorithms that have been used in Monitoring and Early Warning sub-system. • Cooperation in National and International scale to increase Capacity building and data sharing concept.

30. Actions and Future Plans • E-Learning System: • Future plans: • Advanced Remote Sensing and Digital Image Processing • Technical courses for the following hazards: • Earthquake • Drought • Landslide • Flood • All including “Samples” and “online Exercises”

31. Actions and Future Plans • After the evaluation of the NSSR model results of a case study, ISA will construct a Solar Radiation Data Base of Iran using MODIS data.

32. Thanks for Your Attention