Home Posters P2.19s An empirical and dynamic tool for prediction of forest fire spread using RS and ML techniques

P2.19s An empirical and dynamic tool for prediction of forest fire spread using RS and ML techniques

Advanced Satellite Systems Sensors & Intelligence

Harikesh Singh, University of the Sunshine Coast

This project aims to develop a tool to predict Forest Fire Spread using Machine Learning approach and Weather Research and Forecasting with fire spread model (WRF-SFIRE). In this project, fire risk probability mapping, Prediction of fire points, and fire spread modelling will be carried out for the flammable forest areas in Australia.

Download

Related Posters

- Advanced Satellite Systems
- Sensors & Intelligence
- Uakomba Uhongora, University of South Australia
P2.44s Deep Learning Intrusion Detection System for Smart Satellite Networks Based on Software Defined Networking
- Advanced Satellite Systems
- Sensors & Intelligence
- Lucas Tsutsui da Silva, The University of New South Wales
P2.43s Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites
- Advanced Satellite Systems
- Sensors & Intelligence
- Harikesh Singh, University of the Sunshine Coast
P2.19s An Empirical and Dynamic Tool for Prediction of Forest Fire Spread using RS and ML Techniques

P2.19s An empirical and dynamic tool for prediction of forest fire spread using RS and ML techniques

Harikesh Singh, University of the Sunshine Coast

Related Posters

P2.44s Deep Learning Intrusion Detection System for Smart Satellite Networks Based on Software Defined Networking

P2.43s Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites

P2.19s An Empirical and Dynamic Tool for Prediction of Forest Fire Spread using RS and ML Techniques