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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.

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Presentation on theme: "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."— Presentation transcript:

1 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 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 , USA 4. INSTITUTE FOR ENVIRONMENT AND SUSTAINABILITY (IES), EC JOINT RESEARCH CENTRE, VIA E. FERMI 1, TP 440, 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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