Dr Wasin Chaivaranot’s research utilised new microwave-based vegetation indices, in combination with other visible and near infrared remote sensing techniques, to develop cost-effective ways of estimating fuel load and enhancing the result of estimations from remote sensing techniques. Wasin developed cost-effective ways of estimating fuel load and enhanced of estimations from remote sensing techniques, finding that careful consideration of fuel related parameters and variabilities across space and time is critical to estimating grassland fire spread.
Wasin is now an analyst at Bangkok Bank in Thailand.
His thesis is available here.