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Radiative Transfer Modeling for Characterization of Natural Burnt Surfaces

This document presents a comprehensive approach to modeling radiative transfer for the characterization of natural burnt surfaces. Led by researchers from UCL and other institutions, it details the development of an innovative method to estimate the impact of fires based on pre- and post-fire reflectances. The assessment includes algorithm validation, satellite data applications, and thermal measurements, all contributing to a better understanding of fire effects on landscapes. The simplicity of the method allows for potential implementation in operational algorithms for environmental monitoring.

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Radiative Transfer Modeling for Characterization of Natural Burnt Surfaces

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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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