EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Fire-related forest properties observed using Landsat and radar data

Ramesh Ningthoujam1,2, Nayane Cristina Candida dos Santos Prestes3, Ted R. Feldpausch4, Martin Wooster1,5, Sandy P. Harrison1,6, and Iain Colin Prentice1,2
Ramesh Ningthoujam et al.
  • 1Leverhulme Centre for Wildfires, Environment and Society, UK
  • 2Department of Life Sciences, Imperial College London, London, UK
  • 3Programa de Pós-Graduação em Ecologiae Conservação, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil
  • 4Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
  • 5Department of Geography, King’s College London, London, UK
  • 6Geography and Environmental Science, University of Reading, Reading, UK

Fire is an important cause of disturbance in terrestrial ecosystems and can have a major impact on biodiversity. Long-term forest plot monitoring in Mato Grosso state (Brazil) indicates lowest species diversity in plots that have been burned multiple times and increasing species richness with time since the last fire. Furthermore, there is a strong positive relationship between species richness and basal area in unburnt and once-burnt plots, especially in the large tree stratum. We used high-resolution Landsat and PALSAR data at varying spatio-temporal (single and bi-temporal) scales to (a) assess Vegetation Indices sensitive to varying fire severity for different tropical forest species; (b) quantify fire severity and basal area/ biomass changes (1999, 2006, 2010, 2013); and (c) quantify the sensitivity of L-band backscatter to fuel load, moisture content and basal area/ biomass dynamics.

How to cite: Ningthoujam, R., Prestes, N. C. C. D. S., Feldpausch, T. R., Wooster, M., Harrison, S. P., and Prentice, I. C.: Fire-related forest properties observed using Landsat and radar data, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9834,, 2021.

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