Satellite Remote Sensing of Natural Resources: 1st Edition (Hardback) book cover

Satellite Remote Sensing of Natural Resources

1st Edition

By David L. Verbyla

CRC Press

224 pages

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Hardback: 9781566701075
pub: 1995-05-11
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Description

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

About the Author/Editor

Verbyla\, David L.

About the Series

Mapping Science

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Subject Categories

BISAC Subject Codes/Headings:
NAT011000
NATURE / Environmental Conservation & Protection
TEC010000
TECHNOLOGY & ENGINEERING / Environmental / General
TEC036000
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems