Evaluation of Spectral Indices for Assessing Fire Severity in Australian Temperate Forests
Nguyen Tran Bang, Mihai A Tanase, Lauren T Bennett, Cristina Aponte
REMOTE SENSING | MDPI | Published : 2018
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 ..View full abstract
The authors would like to acknowledge the financial support of the Melbourne Research Scholarship and the Vietnam International Education Cooperation Department (VIED) scholarship. We also acknowledge the support of many staffs and students from School of Ecosystem and Forest Sciences at the University of Melbourne, and for their valuable comments and advices to improve this manuscript.