Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire

Articles citing this paper

Changes in the spectral features of fuel layers of an Australian dry sclerophyll forest in response to prescribed burning

V. Gupta A B , K. Reinke A and S. Jones A
+ Author Affiliations
- Author Affiliations

A Remote Sensing Centre, School of Mathematical and Geospatial Sciences, RMIT University GPO Box 2476V, Melbourne, Vic. 3001, Australia.

B Corresponding author. Email: vaibhav.gupta@rmit.edu.au

International Journal of Wildland Fire 22(6) 862-868 https://doi.org/10.1071/WF12211
Submitted: 17 May 2012  Accepted: 15 February 2013   Published: 13 August 2013



10 articles found in Crossref database.

Assessment of Spectral Vegetation Indices Performance for Post-Fire Monitoring of Different Forest Environments
Avetisyan Daniela, Stankova Nataliya, Dimitrov Zlatomir
Fire. 2023 6(8). p.290
Measuring fire severity using UAV imagery in semi-arid central Queensland, Australia
McKenna Phill, Erskine Peter D., Lechner Alex M., Phinn Stuart
International Journal of Remote Sensing. 2017 38(14). p.4244
Optimisation of fuel reduction burning regimes for carbon, water and vegetation outcomes
Gharun Mana, Possell Malcolm, Bell Tina L., Adams Mark A.
Journal of Environmental Management. 2017 203 p.157
Evaluating and comparing Sentinel 2A and Landsat-8 Operational Land Imager (OLI) spectral indices for estimating fire severity in a Mediterranean pine ecosystem of Greece
Mallinis Giorgos, Mitsopoulos Ioannis, Chrysafi Irene
GIScience & Remote Sensing. 2018 55(1). p.1
Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires mapping. Illustrations from the summer 2017 fires in Tunisia
Achour Hammadi, Toujani Ahmed, Trabelsi Hichem, Jaouadi Wahbi
Geocarto International. 2022 37(24). p.7021
Evaluating Trees Crowns Damage for the 2017 Largest Wildfire in Japan Using Sentinel-2A NDMI
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (2020)
Emang Grace Puyang, Touge Yoshiya, Kazama So
Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data
Saulino Luigi, Rita Angelo, Migliozzi Antonello, Maffei Carmine, Allevato Emilia, Garonna Antonio Pietro, Saracino Antonio
Remote Sensing. 2020 12(4). p.741
High-Resolution Estimates of Fire Severity—An Evaluation of UAS Image and LiDAR Mapping Approaches on a Sedgeland Forest Boundary in Tasmania, Australia
Hillman Samuel, Hally Bryan, Wallace Luke, Turner Darren, Lucieer Arko, Reinke Karin, Jones Simon
Fire. 2021 4(1). p.14
Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability
Sellami Mohamed Houssemeddine, Albrizio Rossella, Čolović Milica, Hamze Mohamad, Cantore Vito, Todorovic Mladen, Piscitelli Lea, Stellacci Anna Maria
Agronomy. 2022 12(2). p.489
Fire Severity and Vegetation Recovery on Mine Site Rehabilitation Using WorldView-3 Imagery
McKenna Phillip, Phinn Stuart, Erskine Peter
Fire. 2018 1(2). p.22

Committee on Publication Ethics


Abstract Export Citation Get Permission