Articles | Volume 18, issue 6
https://doi.org/10.5194/nhess-18-1535-2018
https://doi.org/10.5194/nhess-18-1535-2018
Research article
 | 
04 Jun 2018
Research article |  | 04 Jun 2018

Estimating grassland curing with remotely sensed data

Wasin Chaivaranont, Jason P. Evans, Yi Y. Liu, and Jason J. Sharples

Viewed

Total article views: 3,393 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,949 1,288 156 3,393 148 182
  • HTML: 1,949
  • PDF: 1,288
  • XML: 156
  • Total: 3,393
  • BibTeX: 148
  • EndNote: 182
Views and downloads (calculated since 11 Apr 2017)
Cumulative views and downloads (calculated since 11 Apr 2017)

Viewed (geographical distribution)

Total article views: 3,393 (including HTML, PDF, and XML) Thereof 3,211 with geography defined and 182 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 Oct 2025
Download
Short summary
This study explore the feasibility of using a combination of recent and traditional satellite products to estimate the grassland fire fuel availability across space and time over Australia. We found a significant relationship between both recent and traditional satellite products and observed grassland fuel availability and develop an estimation model. We hope our estimation model will provide a more balanced alternative to the currently available grass fuel availability estimation models.
Share
Altmetrics
Final-revised paper
Preprint