A Deep Learning Approach to Downscale Geostationary Satellite Imagery for Decision Support in High Impact Wildfires

A Deep Learning Approach to Downscale Geostationary Satellite Imagery for Decision Support in High Impact Wildfires

Scarcity in wildland fire progression data as well as considerable uncertainties in forecasts demand improved methods to monitor fire spread in real time. However, there exists at present no scalable solution to acquire consistent information about active forest fires that is both spatially and temp...

Full description

Bibliographic Details
Main Authors: Nicholas F. McCarthy, Ali Tohidi, Yawar Aziz, Matt Dennie, Mario Miguel Valero, Nicole Hu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Forests
Subjects:
decision support
fire progression
machine learning
remote sensing
wildland fire
Online Access:https://www.mdpi.com/1999-4907/12/3/294

Internet

https://www.mdpi.com/1999-4907/12/3/294

Similar Items