1st Edition

Satellite Remote Sensing of Natural Resources

By David L. Verbyla Copyright 1995

    Satellite Remote Sensing of Natural Resources offers an introduction to digital remote sensing. This comprehensive text emphasizes the basics, with simple concepts presented in clear, easy-to-understand language. For those who are interested in practical remote sensing but do not have an extensive background in math and statistics, this primer is invaluable. The main topics covered include satellite images, image processing systems, spectral regions, radiometric and geometric corrections, supervised and unsupervised classification, and accuracy assessment. Each chapter concludes with a section of sample problems and list of additional readings.

    Preface
    Satellite Images
    Raster Image Data
    Remote Sensing Detectors
    Scanning Systems
    Image Scale and Resolution
    Major Satellite Systems Used in Natural Resources Management
    Problems
    Additional Readings
    Image Processing Systems
    Computer Fundamentals
    Display of Panchromatic Images
    Contrast Enhancements
    Display of Color Images
    Image Magnification and Reduction
    Problems
    Additional Rction
    Spectral Regions
    Vegetation Spectral Relationships
    Water Spectral Relationships
    Soil Spectral Relationships
    Snow and Cloud Spectral Relationships
    Thermal Remote Sensing
    Potential Problems
    Problems
    Literature Cited
    Additional Readings
    Radiometric Corrections
    Detector Errors
    Correction for Atmospheric Scattering
    Problems
    Literature Cited
    Additional Readings
    Geometric Corrections
    Map Projections
    Map Coordinate Systems
    National Map Accuracy Standards
    Selection of Ground Control Points
    Image Rectification Models
    Pixel Resampling Methods
    Ordering Rectified Data
    Problems
    Additional Readings
    Unsupervised Classification
    Introduction
    Histogram-Based Unsupervised Classification
    Sequential Clustering
    Isodata Clustering
    Grouping of Spectral Classes
    Problems
    Additional Readings
    Supervised Classification
    Introduction
    Training Fields
    Basic Classifiers
    Problems
    Additional Readings
    Accuracy Assessment
    Introduction
    The Error Matrix
    Collection of Reference Data
    Problems
    Additional Readings
    Appendix
    Solutions to Even-Numbered Problems

    Biography

    Verbyla\, David L.