More books in category: Sensors
by: Russell G. Congalton, Kass Green
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Topics include: accuracy assessment samples, accuracy assessment reference data, ground reference data collection, office photo interpretation, hardwood cover types, tree crown closure, crown closure estimates, specific accuracy assessment, remotely sensed classification, crown closure classes, accuracy assessment results, normalized accuracy, collecting reference data, accuracy assessment data, classification scheme rules, classification error matrix, shrub total, dominant size class, error matrices, sample polygon, hardwood rangelands, fuel vegetation, visual call, map accuracy assessment, existing polygon
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A complete guide to assessing the accuracy of maps generated from remotely sensed data
The only book devoted solely to this complex topic
Suitable for both novices and experienced users of remotely sensed data
Because the accuracy of remotely sensed data is critical to any successful mapping project, accuracy assessment is an important tool for anyone who uses remote sensing. This is a complete guide to assessing the accuracy of maps generated from remotely sensed data, and the only book available that is devoted solely to this complex topic.
Table of Contents
Introduction
Why Accuracy Assessment?
Overview
Historical Review
Aerial Photography
Digital Assessments
Data Collection Considerations
Classification Scheme
Statistical Considerations
Data Distribution
Randomness
Spatial Autocorrelation
Sample Size
Sampling Scheme
Sample Unit
Reference Data Collection
Basic Collection Forms
Basic Analysis Techniques
Non-Site Specific Assessments
Site Specific Assessments
Area Estimation/Correction
Practicals
Impact of Sample Design on Cost
Recommendations for Collecting Reference Data
ASources of Variation in Reference Data
Photo Interpretation vs. Ground Visitation
Interpreter Variability
Observations vs. Measurements
What is Correct?
Labeling Map vs. Labeling the Reference Data
Qualitative vs. Quantitative Analysis
Local vs. Regional vs. Global Assessments
Advanced Topics
Beyond the Error Matrix
Modifying the Error Matrix
Fuzzy Set Theory
Measuring Variability
Complex Data Sets
Change Detection
Multi-Layer Assessments
California Hardwood Rangeland Monitoring Project Case Study
Balancing Statistical Validity with Practical Reality
Bibliography
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