A Framework for the Simulation of High       Temporal Resolution Image Series                          J. Inglada, O. Hago...
Outline1 Introduction2 Models3 Example of application4 Conclusions and future work   J. Inglada, O. Hagolle, G. Dedieu   I...
Introduction                                                                 Outline1 Introduction2 Models3 Example of app...
Introduction                                                              New sensors Venus Sentinel (1,2,3) LDCM New appl...
Introduction                                                                  New sensors     Venus     Sentinel (1,2,3)  ...
Introduction                                             The VENµS mission France/Israel cooperation 11 spectral bands (VI...
Introduction                                                              Sentinel-2 Optical HR component of ESA’s Sentine...
Introduction                                                              Challenges From the annual classification . . .J....
Introduction                                                               Challenges From the annual classification . . . ...
Introduction                                                                 FocusApplications    Global coverage every fe...
Introduction                                                              Objectives Develop algorithms for high temporal ...
Models                                                              Outline1 Introduction2 Models3 Example of application4...
Models                               Essential Climate Variables For climate change assessment, mitigation and adaptation:...
Models                                                  Models - Scope They describe the physical reality Their assumption...
Models                                                  Models - Scope They describe the physical reality Their assumption...
Models                                         Models - Challenges Areas of interest:        hydrology, agriculture, fores...
Models                             Open source models - some                                             examples Prospect...
Example of application                                                                  Outline1 Introduction2 Models3 Exa...
Example of application                                                                                        PurposeWhich...
Example of application                                                               PurposeOr theseJ. Inglada, O. Hagolle...
Example of application                                                               PrincipleJ. Inglada, O. Hagolle, G. D...
Example of application                                                                                Results             ...
Example of application                                                                           Results                  ...
Example of application                                           But we said HTR . . . How to simulate a multi-t mission? ...
Example of application                                                    Example of series                               ...
Example of application                                                    Example of series                               ...
Example of application                                                    Example of series                               ...
Example of application                                                         Available data 49 images in 2006        Ort...
Example of application                                                                      Spectral responses            ...
Example of application                                            Simulator architecture                           LAI (t)...
Example of application                                                            Example of application    1.0           ...
Conclusions and future work                                                                 Outline1 Introduction2 Models3...
Conclusions and future work                                                     As a conclusion New missions in the coming...
Conclusions and future work                                                    What we’ve got Source code available for ma...
Conclusions and future work                                                         What we needEngineering - Development ...
Conclusions and future work                   Creative Commons Attribution-ShareAlike 3.0 Unported LicenseJ. Inglada, O. H...
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inglada-AFrameworkfortheSimulationofHighTemporalResolutionImageSeries.pdf

  1. 1. A Framework for the Simulation of High Temporal Resolution Image Series J. Inglada, O. Hagolle, G. Dedieu 25/07/2011J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 1 / 33
  2. 2. Outline1 Introduction2 Models3 Example of application4 Conclusions and future work J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 2 / 33
  3. 3. Introduction Outline1 Introduction2 Models3 Example of application4 Conclusions and future work J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 3 / 33
  4. 4. Introduction New sensors Venus Sentinel (1,2,3) LDCM New applications . . .J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 4 / 33
  5. 5. Introduction New sensors Venus Sentinel (1,2,3) LDCM New applications . . .... which require to closely monitor the temporal trajectory of thecharacteristics of land surfaces. real time classification evolving nomenclatures J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 4 / 33
  6. 6. Introduction The VENµS mission France/Israel cooperation 11 spectral bands (VIS, NIR) 10 m. resolution 2 day revisit cycle (limited number of sites)J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 5 / 33
  7. 7. Introduction Sentinel-2 Optical HR component of ESA’s Sentinel Programme 13 spectral bands (VIS, NIR, SWIR) 10/20/60. m resolution Earth coverage every 5 days (with 2 sats)J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 6 / 33
  8. 8. Introduction Challenges From the annual classification . . .J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 7 / 33
  9. 9. Introduction Challenges From the annual classification . . . ... to the dynamic classification Inter-crop Stubble disking Deep ploughing Harrowing Sowing EmergenceJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 7 / 33
  10. 10. Introduction FocusApplications Global coverage every few days Expectations for land cover change monitoring Real-time: update the land-cover maps for every new acquisitionMethods Describe temporal evolutions Choose and combine different data sources Integration of prior knowledge J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 8 / 33
  11. 11. Introduction Objectives Develop algorithms for high temporal and high spatial resolution image time series Evaluate and compare: algorithms the sensors Need for realistic data which are representative of sensors which do not exist Use physical models as simulation toolsJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 9 / 33
  12. 12. Models Outline1 Introduction2 Models3 Example of application4 Conclusions and future work J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 10 / 33
  13. 13. Models Essential Climate Variables For climate change assessment, mitigation and adaptation: River discharge, Water use, Groundwater, Lakes, Snow cover, Glaciers and ice caps, Permafrost, Albedo, Land cover (including vegetation type), Fraction of absorbed photosynthetically active radiation (FAPAR), Leaf area index (LAI), Above-ground biomass, Fire disturbanceJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 11 / 33
  14. 14. Models Models - Scope They describe the physical reality Their assumptions/simplifications are clear Naturally use/need ancillary data (meteo, ground measures)J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 12 / 33
  15. 15. Models Models - Scope They describe the physical reality Their assumptions/simplifications are clear Naturally use/need ancillary data (meteo, ground measures) They can be multi-sensor or better . . . . . . Sensor Agnostic benefit from the synergy between sensors increase temporal sampling!J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 12 / 33
  16. 16. Models Models - Challenges Areas of interest: hydrology, agriculture, forestry, Media: Aerial, terrestrial, aquatic, mixed How to find the good balance complexity, number of input parameters and variables, computational costJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 13 / 33
  17. 17. Models Open source models - some examples Prospect: optical model for estimating leaf-level reflectance and transmittance Sail: canopy reflectance model Daisy: mechanistic simulation model of the physical and biological processes in an agricultural field 6s: a basic RT code used for calculation of look-up tables in the MODIS atmospheric correction algorithm Arts: radiative transfer model for the millimeter and sub-millimeter spectral range. etc. have a look at ecobas.orgJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 14 / 33
  18. 18. Example of application Outline1 Introduction2 Models3 Example of application4 Conclusions and future work J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 15 / 33
  19. 19. Example of application PurposeWhich is the best sensor to recognize these: sol nu sec 60 végétation eauRéflectance (%) 40 20 0 0,4 0,6 0,8 1,0 1,2 1,4 1,6 1,8 2,0 2,2 2,4 2,6 Longueur donde (µm) visible proche infrarouge moyen infrarouge J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 16 / 33
  20. 20. Example of application PurposeOr theseJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 17 / 33
  21. 21. Example of application PrincipleJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 18 / 33
  22. 22. Example of application Results Spot 5 1 Quickbird Pleiades 0.8 Landsat TMAccuracy Ikonos 0.6 Formosat Meris 0.4 0.2 0 Ve So M M an in ge ils e -m ra ta ls ad tio n e J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 19 / 33
  23. 23. Example of application Results Spot 5 1 Quickbird Pleiades 0.8Accuracy Landsat TM 0.6 Ikonos Formosat 0.4 Meris 0.2 0 R C C R Ig M Se Al Ar En In M oa on on oo ne et ce ol fis id di tis lis am is d cr st f ol pt ou m ol ol ol ru et is en s or ol es ct ph ta io ry ns ic J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 20 / 33
  24. 24. Example of application But we said HTR . . . How to simulate a multi-t mission? Venus, Sentinel-2 Realistic temporal evolutions Use existing image time series Formosat-2 8 m., 4 bands (B,V,R,NIR), 3 daysJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 21 / 33
  25. 25. Example of application Example of series March 14, 2006J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 22 / 33
  26. 26. Example of application Example of series July 17, 2006J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 23 / 33
  27. 27. Example of application Example of series November 2, 2006J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 24 / 33
  28. 28. Example of application Available data 49 images in 2006 Orthorectification OK Radiometric corrections OK TOC and aerosol corrections Cloud screening Land-cover map available Leaf pigments data base for several vegetation types (LOPEX’93)J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 25 / 33
  29. 29. Example of application Spectral responses Relative Spectral Responses 1.0 0.8 Formosat-2 0.6 0.4 0.2 0.0 500 1000 1500 2000 wavelength 1.0 0.8 Venus 0.6 0.4 0.2 0.0 500 1000 1500 2000 wavelength 1.0 0.8 Sentinel-2 0.6 0.4 0.2 0.0 500 1000 1500 2000 wavelengthJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 26 / 33
  30. 30. Example of application Simulator architecture LAI (t) Formosat-2 RSR Formosat-2 Input Series PROSPECT+SAIL Full Spectra Venµs RSR Car Sentinel-2 RSR Cab N Land Cover MapJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 27 / 33
  31. 31. Example of application Example of application 1.0 0.80 FSAT-2 0.75 Venus 0.8 Sentinel-2 0.70 0.6 0.65 Kappa Index 0.4 0.60 0.55 0.2 Cloud % 40 dates 0.50 30 dates 0.0 0.45 6 6 6 6 6 6 6 6 6 200 200 200 n 200 Jul 200 ug 200 ep 200 ct 200 ov 200 Mar Apr May Ju A S O N 0.400 10 20 30 40 50 Number of datesJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 28 / 33
  32. 32. Conclusions and future work Outline1 Introduction2 Models3 Example of application4 Conclusions and future work J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 29 / 33
  33. 33. Conclusions and future work As a conclusion New missions in the coming years Venus, Sentinel, LDCM Nowadays: Formosat-2 How to prepare the use of future systems Algorithm design and validation Understanding phenomena Use of simulation Completely synthetic From very high resolution(s) data The third way! Use real time series but with lower resolutions Use physical modelsJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 30 / 33
  34. 34. Conclusions and future work What we’ve got Source code available for many simulators Ongoing work for Prospect, Sail & Daisy integration new hyper/multi- spectral/temporal algorithm integration http://www.orfeo-toolbox.orgJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 31 / 33
  35. 35. Conclusions and future work What we needEngineering - Development Improve image simulation: MTF, realistic landscapes Hide physical models under common interfacesResearch Learn to select the best model set for a given problem Incorporate domain expert knowledge J. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 32 / 33
  36. 36. Conclusions and future work Creative Commons Attribution-ShareAlike 3.0 Unported LicenseJ. Inglada, O. Hagolle, G. Dedieu IGARSS’11, Vancouver 25/07/2011 33 / 33

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