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Online Analysis of Remote Sensing Data for Agricultural Applications Athanasios Karmas * Konstantinos Karantzalos Spiros Athanasiou Institute for the Remote Sensing Laboratory Institute for the Management of National Technical University

  1. Online Analysis of Remote Sensing Data for Agricultural Applications Athanasios Karmas * Konstantinos Karantzalos Spiros Athanasiou Institute for the Remote Sensing Laboratory Institute for the Management of National Technical University Management of Information Systems of Athens Information Systems ”Athena” Research karank@central.ntua.gr ”Athena” Research Center Center karmas@imis.athena- spathan@imis.athena- innovation.gr innovation.gr July 16, 2014 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 1 / 34

  2. Motivation Exploit Big Earth Observation (EO) Data → Various Sensors, Various Platforms → Various Spatial, Spectral, Temporal properties Make EO data a mainstream → Numerous (new) users → Easy, ready-to-use geospatial products Goal: Geospatial Information, Create Accurate Maps karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 2 / 34

  3. Problem to Solve Easy access to EO data archives Process Multimodal data from various sensors Develop efficient Services Offer validated Products → Direct processing and analysis of data, online wherever needed → Efficient spatiotemporal modelling and monitoring (agriculture, urban environment, natural disasters, crisis management and assessment) karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 3 / 34

  4. Problem to Solve Agricultural Applications Crop monitoring Precision farming Creation of accurate agricultural maps Validated products and agricultural maps → Site-specific decisions → In time → Regardless of the areal extent or the ease of physical access karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 4 / 34

  5. Technologies Rasdaman Array DBMS for data storage OGC WCPS interface standard GeoExt/OpenLayers javascript libraries karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 5 / 34

  6. Developed Platform (I) RemoteAgri Web GIS System → Visualization Services → Analysis Services Utilizes the Landsat 8 dataset → Open Data → Multispectral, multitemporal satellite imagery → Fairly good spatial resolution (30m/pixel) Landsat 8 raw data are downloaded, stored and pre-processed automatically karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 6 / 34

  7. Developed Platform (II) Core functionality → Rasdaman Array DBMS → OGC WCPS interface standard Key features → Vegetation Detection → Canopy Estimation → Water Stress Estimation Fully covers Greek territory with Landsat 8 imagery → New dataset every - apprx. - 16 days → 40 scenes per dataset, averaging apprx. 80GB uncompressed karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 7 / 34

  8. RemoteAgri WebGIS System Web Client GeoExt / OpenLayers Automated col- lection of newly WCPS queries acquired datasets Vegetation Detection, Canopy & Water Stress Estimation Pre-processing Radiometric Extract com- corrections PetaScope pressed and (ToA) archive raw data Rasdaman Figure: The components of the RemoteAgri WebGIS system. karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 8 / 34

  9. Implementation Details (I) Automated Collection & Preprocessing subsystems Automated acquisition through Web Harvesting Archive and extract compressed data Preprocessing to convert to ToA reflectance Ingestion in rasdaman karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 9 / 34

  10. Implementation Details (II) Rasdaman Storage of Landsat 8 multispectral data Suitable data types definition Array types defined with open bounds karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 10 / 34

  11. Implementation Details (III) Web Client OpenLayers library GeoExt library Client side scripts → User interaction → Metadata search → Construction of WCPS queries → Communication with the Server karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 11 / 34

  12. Implementation Details (IV) Developed Agricultural Queries → WCPS interface standard Vegetation Detection Canopy Estimation Water Stress Estimation karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 12 / 34

  13. Vegetation Detection Calculates NDVI Index Creates binary map that distinguishes vegetation from soil and urban environment karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 13 / 34

  14. Canopy Estimation Further classification based on NDVI Zoning the different canopy levels Monitor vegetation health and growth karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 14 / 34

  15. Water Stress Estimation At satellite temperature values Converted to Celsius Degrees Color map that distinguishes different temperature levels The higher the temperature the higher the probability of water stress in irrigated croplands Must be interpreted in close correlation with the Canopy Estimation query karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 15 / 34

  16. Use Case Scenario An agricultural association → Overall state of crops → Ability to provide site-specific information Irrigated croplands in Axios Delta area in Central Macedonia → Rice summer crops (70%) → Cotton and corn crops follow karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 16 / 34

  17. Results (I) a. 24/6/2013 b. 10/7/2013 c. 26/7/2013 d. 11/8/2013 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 17 / 34

  18. Results (II) a. 24/6/2013 b. 10/7/2013 c. 26/7/2013 d. 11/8/2013 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 18 / 34

  19. Use Case Scenario(II) Canopy Estimation → Crop vigour and state → Site-specific decisions → Vegetation life cycle monitor karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 19 / 34

  20. Results (III) a. 24/6/2013 b. 10/7/2013 c. 26/7/2013 d. 11/8/2013 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 20 / 34

  21. Results (IV) a. 24/6/2013 b. 10/7/2013 c. 26/7/2013 d. 11/8/2013 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 21 / 34

  22. Use Case Scenario (III) Water Stress Estimation → Temperature Map → Information about irrigation failures → Examine if other factors are responsible for high temperature karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 22 / 34

  23. Results (V) a. 24/6/2013 b. 10/7/2013 c. 26/7/2013 d. 11/8/2013 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 23 / 34

  24. Conclusion & Future Perspectives Demonstrated the combination of various FOSS technologies Presented a robust framework with real time analysis potential → Bulk ingestion of geodata from various sensors → Further development of the Web Client → Incorporation of other OGC interface standards → Location based services karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 24 / 34

  25. Thank You! Online Analysis of Remote Sensing Data for Agricultural Applications Athanasios Karmas * Konstantinos Karantzalos Spiros Athanasiou Institute for the Remote Sensing Laboratory Institute for the Management of National Technical University Management of Information Systems of Athens Information Systems ”Athena” Research karank@central.ntua.gr ”Athena” Research Center Center karmas@imis.athena- spathan@imis.athena- innovation.gr innovation.gr July 16, 2014 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 25 / 34

  26. Questions Questions ? karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 26 / 34

  27. Demo RemoteAgri WebGIS ikaros.survey.ntua.gr/remoteagri Demonstration purposes RemoteAgri Walkthrough karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 27 / 34

  28. Demo RGB karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 28 / 34

  29. Demo RGB 543 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 29 / 34

  30. Demo RGB 654 karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 30 / 34

  31. Demo Vegetation Detection karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 31 / 34

  32. Demo Canopy Estimation karmas@imis.athena-innovation.gr Online Analysis of Remote Sensing Data for Agricultural Applications 32 / 34

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