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Remote Sensing Applications Center

Remote Sensing Applications Center
2222 W. 2300 South
Salt Lake City, UT
84119 - 2020
voice: (801) 975-3750
fax: (801) 975-3478
RSAC Website

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47914 252nd Street
Sioux Falls, SD
57198 - 0001
800-252-4547
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Learn more about BAERTraining

Welcome to the RSAC BAER training page. These training materials are intended to help familiarize BAER team members with the characteristics and possible uses of post-fire imagery. There are four specific objectives of this training: 1) To promote the awareness and use of satellite imagery to provide timely burn severity products; 2) To promote awareness of how burned area reflectance classification (BARC) products are derived; 3) To describe methods and techniques to edit and improve the BARC and 4) To suggest several ways burn severity products can be used.

These materials are broken up into discussions and exercises (all PDF). The discussions give the theoretical and practical backgrounds necessary to understand the exercises and how the use of remote sensing works for burn severity mapping. They also provide information regarding additional analysis individuals may undertake with the burn severity data.

The exercises provide step-by-step instructions on how to integrate the BARC and satellite imagery into a GIS to help a BAER team move toward a soil burn severity map. These exercises are written primarily for ArcMap version 9.x (they have not been tested in 9.3).

Discussions:
1. Workshop Overview
2. RSAC BAER History
3. Remote Sensing Intro
4. Sensor Properties
5. BARC Creation Demo
6. BARC Editing
7. Additional BARC Analysis
8. Map Compositions
9. Where to Get Data

Exercises:
1. Becoming Familiar with Satellite Imagery
2. BARC Preprocessing
3. BARC Systematic Edits
4. BARC Locational Edits
5. GIS Analysis
6. Image Drape
7. Map Composition

The exercises are written for specific class data for the Hayman Fire that burned 139,000 acres in Colorado during 2002. Download and extract these data while retaining paths and folders (How? Open the zip file in WinZip; Click on the “Extract” button; browse to an output folder; make sure the "Use folder names" box is checked; then Extract!):

Class Data (~35mb zipped; ~100mb unzipped)

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