USFS Training

• Calendar of instructor Lead Training
  • Mar 19-23 Using the Terrestrial Ecological Unit nventory (TEUI) Toolkit
  • Apr 15-20 Image Analyst & Feature Analyst for GIS Users
  • May 14-18 Using the Burned Area Classification (BARC)
• WebCast
  • Building Mid-level Existing Vegetation Maps (Awareness Webcast) An overview of the major steps in building mid-level existing veg maps using advanced techniques
  • Monitoring OHV Trails (Technical Webcast) How imagery can be used to map OHV trails on National Forests
  • Monitoring & Mapping Invasive Species with an Emphasis on Russian Olive (Technical Webcast) Remote sensing and GIS methods used to map invasive species on National Forests
  • Using the BARC for BAER Support (Technical Webcast) Adjusting the Burned Area Reflectance Classification for BAER Team support
  • Valley Bottom Delineation Using a GIS Framework (Technical Webcast) Delineating valley bottoms using a GIS for riparian area management
• On-line Tutorials
  • Traditional (Analog) Resource Photography Use
    Topics include: 1) Selected Photo Characteristics, 2) Stereoscopy, 3) Scale, 4) Analog Area Measurements, 5) Effective Area, and 6) Photo Interpretation.
    The course will cost $100 to cover aerial photos, materials, and shipping--a bargain! You can work through the first couple of chapters while the materials are being shipped to you.
    Suggested Background: Course requirements include: 1) stereoscope; 2) good lighting; and 3) should be comfortable with high school-level algebra.
  • Digital Resource Photography for GIS Use
    Topics include: 1) Scanning and Resolution, 2) Preparations for Orthocorrection, 3) Orthocorrection, 4) Mosaicking ortho-photography, 5) 3-D Image Drapes.
    This is a FREE course (however, you still have to register)!
    Suggested Background: Course requirements include: 1) ERDAS Imagine and ArcGIS or ArcGIS with Image Analysis; 2) should be comfortable with high school-level algebra; and 3) being familiar with Windows operating environment.
  • Advanced Digital Image Processing--Classification Techniques
    This course presents common and useful techniques for improving and refining image classifications. We cover spectral analysis, hybrid classification, classification masking, image segmentation, spatial context classifiers, and other approaches to achieve the best possible spectral classifications. Then we introduce geospatial modeling techniques that can be used to improve spectral classifications.
    Suggested Background: RSAC's Basic Image Processing Using ERDAS Imagine or similar training or experience.
  • Basic Digital Image Processing Part 1 In Part 1 of this class, you will use ERDAS Imagine or ArcGIS with Image Analysis in a series of class exercises to, among other things, produce a terrain-corrected satellite image from an unprocessed Landsat TM scene. This image will then be used in Part 2 of the course to develop a vegetation cover layer--complete with accuracy assessment. Although we use corporate image processing software for class exercises, the emphasis is on remote sensing concepts and techniques with less emphasis on providing just software training. This is a FREE course--however, you still have to register. Suggested Background: No previous experience is required. You must have either ERDAS Imagine or ArcGIS with the Image Analysis and Spatial Analyst extensions installed.
  • Basic Digital Image Processing--Part 2 In Part 1 of this class, we use ERDAS Imagine or ArcGIS with Image Analysis to produce a terraincorrected satellite image from an unprocessed Landsat TM scene. This image is used in Part 2 of the course to develop a vegetation cover layer--complete with accuracy assessment. Although we use corporate image processing software for class exercises, the emphasis is on remote sensing concepts and techniques with less emphasis on providing just software training. This is a FREE course--however, you still have to register. Suggested Background: You must complete Part 1 of this course before proceeding with Part 2.
  • Change Detection using Satellite Imagery This course focuses on describing common satellite image change detection techniques (using primarily Landsat TM imagery) you can perform using Image Analysis for ArcGIS. This course describes the general theory, background, and application of change detection using remotely-sensed imagery. However, the course concentrates on only a few change detection techniques-visual, image algebra, and post-classification change detection. Included is a short discussion and exercise on the use of MODIS imagery in change detection. Suggested Background: A basic knowledge of remote sensing and Image Analysis for ArcGIS are recommended, but not required. Visit the Remote Sensing Basics tutorial (http://fsweb.rsac.fs.fed.us/rsbasics/) to brush up on the basics of remote sensing, and the Image Analysis 101 tutorial (http://fsweb.geotraining.fs.fed.us/tutorials/ia101/) to learn about Image Analysis.
  • Feature Analyst for ArcGIS Feature Analyst for ArcGIS is used in a series of class exercises to introduce you to feature extraction from high resolution imagery using contextual classification techniques. We will cover a number of topics, including: common feature extraction techniques and data preparation. Then we will cover Simple Feature Extraction, Hierarchical Feature Extraction, Multi-class Feature Extraction, and simple post-processing techniques using Feature Analyst for ArcGIS. Suggested Background: This is an introductory course with no prerequisites; however, a basic working knowledge of ArcMap will be very helpful.
  • GPS for Natural Resource Applications This course is intended as a general introduction to the use of GPS in natural resource applications. It serves as a stand-alone introduction to GPS but it also serves as a prerequisite for some instructor-led GPS courses. This course is FREE (however, you still have to register)! Suggested Background: an interest in GPS
  • Practical Uses of Imagery in ArcGIS This course explores practical uses of imagery in ArcGIS with an emphasis on tools, techniques, and imagery that can be readily used in the ArcMap environment. Topics include: an introduction to image viewing and map composition, preparing photos for use in ArcGIS, feature extraction tools, using MODIS imagery in ArcGIS, spatial modeling, working with imagery in a GeoDatabase, and an introduction to Google Earth. Suggested Background: This is an introductory course with no prerequisites; however, a basic working knowledge of ArcMap will be very helpful. NOTE: This course uses PopUps-you must allow popups in your browser! This is a FREE course; however, you still have to register.
  • Stereo Analyst for ArcGIS The four chapters of this course are: 1) Selected Photo Characteristics--all of the important characteristics of aerial photography required to use Stereo Analyst effectively; 2) Introduction to Stereo Analyst--covering setup and configuration, importing stereo imagery, and basic viewing of stereo images and use of Stereo Analyst; 3) Photo-Interpretation and Heads-up Digitization--including the creation of 3D Geodatabase layers, stereo interpretation and digitization, and polygon attributing

Please send your info to post to David Duran or Mike Story.