Abstract

Reinforce Wild Fire Risk Prediction with Timely Weather Information
Track: Forestry
Authors: Ping Yang

To protect forest from changing climate towards drought, forecasts and analysis were provided in Texas A&M Forest Service as an automated, online and publicly available resources. Recently, The Automated Surface Observing System timely observation has been applied to update the Fire Danger Risk maps throughout the State of Texas. Using the advanced technology from ESRI online and mobile based solutions, public users can access the predictive service information conveniently and timely.