210 Pages
by
CRC Press
224 Pages
by
CRC Press
Also available as eBook on:
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
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.