ARSET - NASA Earth Science Data for Wildland Fire Decision Making

Description

April 03, 2017

Wildland fires pose a serious threat to human health and property. During this in-person training, participants learned how to use NASA Earth observations to evaluate potential fire risk, monitor fire behavior in near real-time, and assess post-fire effects. Held in conjunction with the Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management and Science Workshop, this training included lectures and hands-on exercises. Instructors from the ARSET program and the Short-term Prediction Research and Transition Center (SPoRT) covered remotely sensed data relevant to wildland fire management, including Landsat, MODIS, GOES, and SMAP, as well as online tools such as Worldview and the Fire Information and Resources Management System (FIRMS).

Agenda Cite This Training

Citation

(2017). ARSET - NASA Earth Science Data for Wildland Fire Decision Making. NASA Applied Remote Sensing Training Program (ARSET). http://appliedsciences.nasa.gov/get-involved/training/english/arset-nasa-earth-science-data-wildland-fire-decision-making

Objective

By the end of this training, attendees will be able to:

Identify available resources for satellite remote sensing of wildland fires
Use online tools for near real-time fire detection and monitoring
Create a Normalized Difference Vegetation Index (NDVI) map and a Normalized Burn Ratio (NBR) map

Audience

Local, regional, state, federal, and international organizations interested in assessing wildland fire activity using satellite imagery. Professional organizations in the public and private sectors engaged in environmental management and monitoring will be given preference over organizations focused primarily on research.

Course Format