Evaluation of spectral indices for assessing fire severity in Australian temperate forests

Evaluation of spectral indices for assessing fire severity in Australian temperate forests

18 Pág.

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Bibliographic Details
Main Authors: Tran, Bang Nguyen, Tanase, Mihai A., Bennett, Lauren T., Aponte, Cristina
Other Authors: Tran, Bang Nguyen [0000-0001-8887-8712]
Format: artículo biblioteca
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018-10-24
Subjects:Fire severity, Index optimality, Mixed traits, Obligate seeder, Resprouter, Spectral indices, Temperate forests, Wildfires,
Online Access:http://hdl.handle.net/10261/344269
https://api.elsevier.com/content/abstract/scopus_id/85057127850
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spelling dig-inia-es-10261-3442692024-01-29T21:50:12Z Evaluation of spectral indices for assessing fire severity in Australian temperate forests Tran, Bang Nguyen Tanase, Mihai A. Bennett, Lauren T. Aponte, Cristina Tran, Bang Nguyen [0000-0001-8887-8712] Tanase, Mihai A. [0000-0002-0045-2299] Bennett, Lauren T. [0000-0003-2472-062X] Aponte, Cristina [0000-0002-8457-7573] Fire severity Index optimality Mixed traits Obligate seeder Resprouter Spectral indices Temperate forests Wildfires 18 Pág. Spectral indices derived from optical remote sensing data have been widely used for fire-severity classification in forests from local to global scales. However, comparative analyses of multiple indices across diverse forest types are few. This represents an information gap for fire management agencies in areas like temperate south-eastern Australia, which is characterised by a diversity of natural forests that vary in structure, and in the fire-regeneration strategies of the dominant trees. We evaluate 10 spectral indices across eight areas burnt by wildfires in 1998, 2006, 2007, and 2009 in south-eastern Australia. These wildfire areas encompass 13 forest types, which represent 86% of the 7.9M ha region's forest area. Forest types were aggregated into six forest groups based on their fire-regeneration strategies (seeders, resprouters) and structure (tree height and canopy cover). Index performance was evaluated for each forest type and forest group by examining its sensitivity to four fire-severity classes (unburnt, low, moderate, high) using three independent methods (anova, separability, and optimality). For the best-performing indices, we calculated index-specific thresholds (by forest types and groups) to separate between the four severity classes, and evaluated the accuracy of fire-severity classification on independent samples. Our results indicated that the best-performing indices of fire severity varied with forest type and group. Overall accuracy for the best-performing indices ranged from 0.50 to 0.78, and kappa values ranged from 0.33 (fair agreement) to 0.77 (substantial agreement), depending on the forest group and index. Fire severity in resprouter open forests and woodlands was most accurately mapped using the delta Normalised Burnt ratio (dNBR). In contrast, dNDVI (delta Normalised difference vegetation index) performed best for open forests with mixed fire responses (resprouters and seeders), and dNDWI (delta Normalised difference water index) was the most accurate for obligate seeder closed forests. Our analysis highlighted the low sensitivity of all indices to fire impacts in Rainforest. We conclude that the optimal spectral index for quantifying fire severity varies with forest type, but that there is scope to group forests by structure and fire-regeneration strategy to simplify fire-severity classification in heterogeneous forest landscapes. This research received no external funding. Peer reviewed 2024-01-29T16:13:23Z 2024-01-29T16:13:23Z 2018-10-24 artículo Remote Sensing 10(11): e1680 (2018) http://hdl.handle.net/10261/344269 10.3390/rs10111680 2072-4292 2-s2.0-85057127850 https://api.elsevier.com/content/abstract/scopus_id/85057127850 en Departamento de Medio Ambiente y Agronomía​ Publisher's version https://doi.org/10.3390/rs10111680 Sí open application/pdf Multidisciplinary Digital Publishing Institute
institution INIA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-inia-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del INIA España
language English
topic Fire severity
Index optimality
Mixed traits
Obligate seeder
Resprouter
Spectral indices
Temperate forests
Wildfires
Fire severity
Index optimality
Mixed traits
Obligate seeder
Resprouter
Spectral indices
Temperate forests
Wildfires
spellingShingle Fire severity
Index optimality
Mixed traits
Obligate seeder
Resprouter
Spectral indices
Temperate forests
Wildfires
Fire severity
Index optimality
Mixed traits
Obligate seeder
Resprouter
Spectral indices
Temperate forests
Wildfires
Tran, Bang Nguyen
Tanase, Mihai A.
Bennett, Lauren T.
Aponte, Cristina
Evaluation of spectral indices for assessing fire severity in Australian temperate forests
description 18 Pág.
author2 Tran, Bang Nguyen [0000-0001-8887-8712]
author_facet Tran, Bang Nguyen [0000-0001-8887-8712]
Tran, Bang Nguyen
Tanase, Mihai A.
Bennett, Lauren T.
Aponte, Cristina
format artículo
topic_facet Fire severity
Index optimality
Mixed traits
Obligate seeder
Resprouter
Spectral indices
Temperate forests
Wildfires
author Tran, Bang Nguyen
Tanase, Mihai A.
Bennett, Lauren T.
Aponte, Cristina
author_sort Tran, Bang Nguyen
title Evaluation of spectral indices for assessing fire severity in Australian temperate forests
title_short Evaluation of spectral indices for assessing fire severity in Australian temperate forests
title_full Evaluation of spectral indices for assessing fire severity in Australian temperate forests
title_fullStr Evaluation of spectral indices for assessing fire severity in Australian temperate forests
title_full_unstemmed Evaluation of spectral indices for assessing fire severity in Australian temperate forests
title_sort evaluation of spectral indices for assessing fire severity in australian temperate forests
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018-10-24
url http://hdl.handle.net/10261/344269
https://api.elsevier.com/content/abstract/scopus_id/85057127850
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AT tanasemihaia evaluationofspectralindicesforassessingfireseverityinaustraliantemperateforests
AT bennettlaurent evaluationofspectralindicesforassessingfireseverityinaustraliantemperateforests
AT apontecristina evaluationofspectralindicesforassessingfireseverityinaustraliantemperateforests
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