Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Geoffrey J. Cary"'
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 801 (2024)
In the original publication [...]
Externí odkaz:
https://doaj.org/article/89679d27508146c8b3e5b678d5665e2a
Publikováno v:
Atmosphere, Vol 15, Iss 4, p 470 (2024)
The increasing frequency and duration of severe fire events in Australia further necessitate accurate and timely forecasting to mitigate their consequences. This study evaluated the performance of two distinct approaches to forecasting extreme fire d
Externí odkaz:
https://doaj.org/article/a8070d0c254048f18cd9dabb262d6ca8
Publikováno v:
Atmosphere, Vol 15, Iss 2, p 203 (2024)
Fire danger poses a pressing threat to ecosystems and societies worldwide. Adequate preparation and forewarning can help reduce these threats, but these rely on accurate prediction of extreme fire danger. With the knowledge that climatic conditions c
Externí odkaz:
https://doaj.org/article/e28ad75b8a854a2fb5823b5164119019
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5100-5110 (2021)
Foliage fuel load (FFL) is a critical factor affecting crown fire intensity and rate of spread. Satellite observations provide the potential for monitoring FFL dynamics across large areas. Previous studies commonly used empirical methods to estimate
Externí odkaz:
https://doaj.org/article/058157527f0546fe9187456a9577940c
Autor:
Matthew Chard, Claire N. Foster, David B. Lindenmayer, Geoffrey J. Cary, Christopher I. MacGregor, Wade Blanchard
Publikováno v:
Ecology and Evolution, Vol 12, Iss 4, Pp n/a-n/a (2022)
Abstract Fire and herbivores alter vegetation structure and function. Future fire activity is predicted to increase, and quantifying changes in vegetation communities arising from post‐fire herbivory is needed to better manage natural environments.
Externí odkaz:
https://doaj.org/article/5a288adab1ad437cbb63f3f7e97238db
Publikováno v:
Fire, Vol 5, Iss 5, p 152 (2022)
Studies using remote sensing data for fire danger prediction have primarily relied on fire ignitions data to develop fire danger indices (FDIs). However, these data may only represent conditions suitable for ignition but may not represent fire danger
Externí odkaz:
https://doaj.org/article/0861aaa3f7384abe9f25383006628701
Autor:
Hamish Clarke, Trent Penman, Matthias Boer, Geoffrey J. Cary, Joseph B. Fontaine, Owen Price, Ross Bradstock
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
Variations in global patterns of burning and fire regimes are relatively well measured, however, the degree of influence of the complex suite of biophysical and human drivers of fire remains controversial and incompletely understood. Such an understa
Externí odkaz:
https://doaj.org/article/489f9cc11ca549cda14d173cf074331d
Publikováno v:
International Journal of Wildland Fire. 32:133-148
The McArthur grassland and forest fire danger indices, widely used in Australia, predict six fire danger classes from ‘Low-Moderate’ to ‘Catastrophic.’ These classes were linked to the rate of fire spread and difficulty of suppression. Howeve
Autor:
Matthew G. Gale, Geoffrey J. Cary
Publikováno v:
International Journal of Wildland Fire. 31:291-305
Analyses of the effects of topography, weather, land management, and fuel on fire severity are increasingly common, and generally apply fire severity indices derived from satellite optical remote sensing. However, these indices are commonly interpret
Publikováno v:
International Journal of Remote Sensing 43 (2022) 7
International Journal of Remote Sensing, 43(7), 2559-2580
International Journal of Remote Sensing, 43(7), 2559-2580
Spectral indices derived from satellite optical remote sensing data have typically been used for fire severity estimation, although other remote sensing systems such as Light Detection and Ranging (LiDAR) are increasingly applied. Despite a multitude