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: 3,134 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,796 1,192 146 3,134 118 140
  • HTML: 1,796
  • PDF: 1,192
  • XML: 146
  • Total: 3,134
  • BibTeX: 118
  • EndNote: 140
Views and downloads (calculated since 11 Apr 2017)
Cumulative views and downloads (calculated since 11 Apr 2017)

Viewed (geographical distribution)

Total article views: 3,134 (including HTML, PDF, and XML) Thereof 2,952 with geography defined and 182 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 May 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