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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.
Table of Contents
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
Verbyla\, David L.
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CHOICE – Outstanding Academic Title – Award Winner
CHOICE – 2018 Outstanding Academic Title – Award Winner
Shingo Research and Professional Publication Award Winner
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