Bureau Research Report 2017
DOI: 10.22499/4.0026
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JASMIN: A prototype high resolution soil moisture analysis system for Australia

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Cited by 6 publications
(4 citation statements)
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References 35 publications
(47 reference statements)
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“…A CRC 8 project is building an improved predictive model and framework for the planning of prescribed burns and for benefit-cost modelling to assess the economic value of prescribed burning Florec & Pannell 2017). Other research 9 is using satellites to detect soil dryness and flammability and developing an online mapping tool to help fire managers decide where and when to conduct prescribed burning (Dharssi & Kumar 2017;Yebra et al 2018).…”
Section: Technological Advances 2000-2018mentioning
confidence: 99%
“…A CRC 8 project is building an improved predictive model and framework for the planning of prescribed burns and for benefit-cost modelling to assess the economic value of prescribed burning Florec & Pannell 2017). Other research 9 is using satellites to detect soil dryness and flammability and developing an online mapping tool to help fire managers decide where and when to conduct prescribed burning (Dharssi & Kumar 2017;Yebra et al 2018).…”
Section: Technological Advances 2000-2018mentioning
confidence: 99%
“…Tables were generated summarising daily maximum FDR per Fire Weather District and displaying the red flag warnings for wind change, instability and spotting. Additional weather demonstration products (weather products not yet fully operational, but with potential for future incorporation into the AFDRS) were presented, including a link to JASMIN (Dharssi and Vinodkumar 2017) soil moisture data and images of pyrocumulonimbus and dry lightning potential (produced by the Bureau Extreme Weather Desk).…”
Section: Website Outputsmentioning
confidence: 99%
“…The most significant weakness of the system now is the lack of suitable fuel availability models for fuel types other than grass and buttongrass. There is lots of promising work being done to retrieve live fuel moisture content modelling and remote sensing [120,319,320] but it is not yet clear how this information can be applied to fire behavior or fire danger modelling given live fuel moisture is not a direct input in fire spread models.…”
Section: Australiamentioning
confidence: 99%