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Agenda

Radiative Transfer Modelling for the characterisation of natural burnt surfaces AO/1-5526/07/NL/HE Introduction. P. LEWIS 1 , T. QUAIFE 5 , J. GOMEZ-DANS 1,2 , M. DISNEY 1 , M. WOOSTER 2 , D. ROY 3 , B. PINTY 4

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Agenda

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  1. Radiative Transfer Modelling for the characterisation of natural burnt surfacesAO/1-5526/07/NL/HEIntroduction P. LEWIS1, T. QUAIFE5, J. GOMEZ-DANS1,2, M. DISNEY1, M. WOOSTER2 , D. ROY3, B. PINTY4 1. NCEO/DEPT. GEOGRAPHY, UNIVERSITY COLLEGE LONDON, GOWER ST., LONDON WC1E 6BT, UK 2. NCEO/DEPT. GEOGRAPHY, KING'S COLLEGE LONDON, STRAND, LONDON WC2R 2LS, UK 3. GEOGRAPHIC INFORMATION SCIENCE CENTER OF EXCELLENCE, SOUTH DAKOTA STATE UNIVERSITY, WECOTA HALL, BOX 506B, BROOKINGS, SD 57007-3510, USA 4. INSTITUTE FOR ENVIRONMENT AND SUSTAINABILITY (IES), EC JOINT RESEARCH CENTRE, VIA E. FERMI 1, TP 440, 21020 ISPRA (VA), ITALY 5. NCEO/DEPT. GEOGRAPHY, EXETER UNIVERSITY

  2. Agenda 08:45 Administrative matters 09:00 Overview of project (Lewis) 09:30 FCC Algorithm: concept, theoretical basis and model testing (Lewis) 10:30 Application of the FCC model to satellite data (Gomez-Dans) 11:15 coffee 11:30 3D Modelling: measurement, modelling and FCC testing (Disney) 12:30 Thermal measurement and modelling (Wooster) 13:00 Lunch 14:00 Recommendations (Lewis+Disney+Wooster) 15:00 Overall Discussion (Lewis) and AOB 15:30 End

  3. Milestones • Contract signatures • Mid-Term Review (MTR) meeting • Final Review (FR)

  4. Schedule: KO 1 May 2008: End 30 May 2010 slippage due to staffing

  5. Deliverables

  6. WP Definition: WP 10: Review element for the Algorithm Validation Plan (AVP) and Algorithm Theoretical Basis Document (ATBD) WP 11: Data Selection and Collection WP 12: Development of AVP and ATBD WP 20: Forward Model Implementation WP 21: Sensitivity analysis WP 30: Model validation WP 40: Model inversion (TN 8 subsumed) WP 50: End-end simulator (e2e delivered) WP 60: Recommendations (now TN 8) FR delivered

  7. Big picture • In essence, have developed a new method to estimate impact of fire from pre-/post-fire reflectances • Method is simple & could be implemented in operational algorithms • Based on ‘generic’ spectral model • 2 parameters • Capable of describing char/ash/exposed soil (at least dry soil)

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