RiseUpp Logo
Educator Logo

Remote Sensing for Wildfire Management

Master satellite-based wildfire detection and monitoring techniques. Learn to use remote sensing tools for fire management.

Master satellite-based wildfire detection and monitoring techniques. Learn to use remote sensing tools for fire management.

This comprehensive course explores how remote sensing technology helps manage wildfires in Alaska and beyond. Led by University of Alaska Fairbanks experts, students learn to use satellite imagery and geospatial tools for wildfire detection, monitoring, and impact assessment. The curriculum covers fire behavior, climate conditions, and ecosystem impacts while providing hands-on experience with professional mapping tools. Participants gain practical skills in accessing real-time fire data and using ArcGIS Pro for analysis.

Instructors:

English

English, Spanish

Powered by

Provider Logo
Remote Sensing for Wildfire Management

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

9,341

Audit For Free

What you'll learn

  • Understand climate conditions and factors contributing to wildfire occurrence

  • Master remote sensing principles and satellite imagery interpretation

  • Learn to detect and monitor wildfires using satellite data

  • Develop skills in using ArcGIS Pro for fire mapping and analysis

  • Access and utilize real-time wildfire monitoring resources

  • Assess wildfire impacts on ecosystems and communities

Skills you'll gain

Remote Sensing
Wildfire Management
GIS
Satellite Imagery
Environmental Monitoring
ArcGIS Pro
Fire Behavior Analysis
Geospatial Mapping
Climate Science

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 modules in this course

This course provides comprehensive training in using remote sensing technology for wildfire management. Students learn about wildfire behavior, climate conditions, and ecosystem impacts in Alaska's active fire zones. The curriculum covers satellite imagery interpretation, fire detection techniques, and geospatial mapping using professional tools like ArcGIS Pro. Participants gain practical experience accessing real-time fire data and creating maps to support firefighting efforts. The course emphasizes hands-on learning with professional tools and resources used in actual wildfire management.

An overview of wildfires in Alaska

Module 1 · 4 Hours to complete

An introduction to remote sensing of Earth

Module 2 · 4 Hours to complete

Remote sensing applications on wildfires

Module 3 · 4 Hours to complete

Remote sensing resources

Module 4 · 4 Hours to complete

Fee Structure

Instructors

Santosh Panda
Santosh Panda

4 Courses

Distinguished Arctic Scientist and Remote Sensing Expert

Santosh K. Panda serves as Associate Professor of GIS and Remote Sensing at the University of Alaska Fairbanks, where he holds joint appointments with the Geophysical Institute and the Institute of Agriculture, Natural Resources and Extension. His research focuses on understanding Arctic landscape dynamics, particularly permafrost response to climate change and its effects on Arctic systems. After completing his PhD in Geology from UAF, he has pioneered high-resolution permafrost modeling across Alaska's national parks and developed innovative approaches to mapping boreal forest wildfire patterns using hyperspectral remote sensing. His work includes significant community engagement, notably building capacity for permafrost monitoring in native villages of Telida and Nikolai, and mapping Colville River bathymetry to support safe river navigation. As principal investigator for the Alaska NSF EPSCoR Fire and Ice project, he leads research on improving boreal wildfire fuel mapping. His publications have garnered over 795 citations, with significant contributions to permafrost dynamics modeling, remote sensing applications, and Arctic landscape change analysis. Beyond research, he maintains an active teaching role in remote sensing and GIS at both undergraduate and graduate levels while advancing the application of spatial technologies to understand Arctic environmental changes.

Distinguished Remote Sensing Expert and Boreal Forest Researcher

Dr. Anushree Badola serves as Postdoctoral Researcher at the Institute of Agriculture, Natural Resources and Extension, University of Alaska Fairbanks, where she specializes in hyperspectral remote sensing and machine learning applications for forestry and agriculture. Her groundbreaking research includes developing novel methods to simulate AVIRIS-NG hyperspectral imagery from Sentinel-2 data for improved vegetation and wildfire fuel mapping in boreal Alaska. After earning her Master's in Geoinformatics from the University of Twente and IIRS, ISRO, Dehradun, she completed her PhD at UAF's Geophysical Institute. Her work with the Alaska NSF EPSCoR Fire and Ice project has significantly advanced boreal forest monitoring techniques, achieving improved classification accuracies from 77.8% with Sentinel-2 to 94.4% with AVIRIS-NG data. Her research portfolio includes innovative approaches to tree species mapping in tropical forests, sub-pixel needleleaf cover fraction estimation in boreal forests, and development of spectral reconstruction methods for vegetation mapping. As a skilled programmer in Python and R with expertise in various GIS tools including QGIS, ArcGIS, ENVI, and Erdas Imagine, she continues to advance the field of remote sensing while focusing on improving wildfire fuel mapping technologies for better forest management.

Remote Sensing for Wildfire Management

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

9,341

Audit For Free

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.