Articles citing this paper
Application of NDVI for predicting fuel curing at landscape scales in northern Australia: can remotely sensed data help schedule fire management operations?
Grant Allan, Andrea Johnson, Shane Cridland and Nikki Fitzgerald
12(4) pp.299 - 308
16 articles found in Crossref database.
Spatial indicators of fire risk in the arid and semi-arid zone of Australia
Turner Dorothy,
Lewis Megan, Ostendorf Bertram
Ecological Indicators. 2011 11(1). p.149
Innovations in Remote Sensing and Photogrammetry (2009)
Seasonal patterns in biomass burning emissions from southern African vegetation fires for the year 2000
Korontzi Stefania
Global Change Biology. 2005 11(10). p.1680
Monitoring live fuel moisture content of heathland, shrubland and sclerophyll forest in south-eastern Australia using MODIS data
Caccamo G.,
Chisholm L. A.,
Bradstock R. A.,
Puotinen M. L., Pippen B. G.
International Journal of Wildland Fire. 2012 21(3). p.257
A framework for defining fire danger to support fire management operations in Australia†
Hollis Jennifer J.,
Matthews Stuart,
Anderson Wendy R.,
Cruz Miguel G.,
Fox-Hughes Paul,
Grootemaat Saskia,
Kenny Belinda J., Sauvage Sam
International Journal of Wildland Fire. 2024 33(3).
In-Situ and Remote Sensing Platforms for Mapping Fine-Fuels and Fuel-Types in Sonoran Semi-Desert Grasslands
Sesnie Steven,
Eagleston Holly,
Johnson Lacrecia, Yurcich Emily
Remote Sensing. 2018 10(9). p.1358
Fire ecology
Bowman D. M.J.S., Franklin D. C.
Progress in Physical Geography: Earth and Environment. 2005 29(2). p.248
Relationships among fire frequency, rainfall and vegetation patterns in the wet–dry tropics of northern Australia: an analysis based on NOAA‐AVHRR data
Spessa Allan,
McBeth Bevan, Prentice Colin
Global Ecology and Biogeography. 2005 14(5). p.439
Frequency and season of fires varies with distance from settlement and grass composition in Eucalyptus miniata savannas of the Darwin region of northern Australia
Elliott Louis P.,
Franklin Donald C., Bowman David M. J. S.
International Journal of Wildland Fire. 2009 18(1). p.61
Soil moisture as an indicator of growing-season herbaceous fuel moisture and curing rate in grasslands
Sharma Sonisa,
Carlson J. D.,
Krueger Erik S.,
Engle David M.,
Twidwell Dirac,
Fuhlendorf Samuel D.,
Patrignani Andres,
Feng Lei, Ochsner Tyson E.
International Journal of Wildland Fire. 2021 30(1). p.57
A simple method for field-based grassland curing assessment
Anderson Stuart A. J.,
Anderson Wendy R.,
Hollis Jennifer J., Botha Elizabeth J.
International Journal of Wildland Fire. 2011 20(6). p.804
Innovations in Remote Sensing and Photogrammetry (2009)
A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area
Tien Bui Dieu,
Bui Quang-Thanh,
Nguyen Quoc-Phi,
Pradhan Biswajeet,
Nampak Haleh, Trinh Phan Trong
Agricultural and Forest Meteorology. 2017 233 p.32
Estimating grassland curing with remotely sensed data
Chaivaranont Wasin,
Evans Jason P.,
Liu Yi Y., Sharples Jason J.
Natural Hazards and Earth System Sciences. 2018 18(6). p.1535
Effects of curing on grassfires: I. Fuel dynamics in a senescing grassland
Kidnie Susan,
Cruz Miguel G.,
Gould Jim,
Nichols David,
Anderson Wendy, Bessell Rachel
International Journal of Wildland Fire. 2015 24(6). p.828
Phenological variability drives the distribution of wildfires in Sardinia
De Angelis Antonella,
Bajocco Sofia, Ricotta Carlo
Landscape Ecology. 2012 27(10). p.1535
