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Full Description
Accuracy assessment of maps derived from remotely sensed data has continued to grow since the first edition of this groundbreaking book. As a result, the much-anticipated new edition is significantly expanded and enhanced to reflect growth in the field. The new edition features three new chapters, including: Fuzzy accuracy assessmentPositional accuracyCase study: Mapping land cover and land use in the Florida panhandleThe authors provide a complete presentation of how to assess the positional accuracy of a map along with a discussion of the impact of positional accuracy on thematic accuracy. They also include a more thorough discussion of the special sampling issues that must be considered to effectively assess change.Complete with a 16-page color insert, this second edition continues to provide a complete guide to designing and conducting a state-of-the-art accuracy assessment.
Contents
IntroductionWhy Map?Why Assess the Accuracy of a Map?Types of Map Accuracy AssessmentCritical Steps in Accuracy AssessmentOrganization of the BookThe History of Map Accuracy AssessmentHow Maps Are MadeHistory of Accuracy AssessmentPositional AccuracyWhat Is Positional Accuracy?What Are the Common Standards for Positional Accuracy?Positional Accuracy Assessment Design and Sample SelectionHow Is Positional Accuracy Analyzed?SummaryAppendix 3.1: Determining the Required Sample SizeThematic AccuracyNon-Site-Specific AssessmentsSite-Specific AssessmentsSample Design ConsiderationsWhat Are the Thematic Map Classes to Be Assessed?What Is the Appropriate Sample Unit?How Many Samples Should Be Taken?How Should the Samples Be Chosen?Final ConsiderationsReference Data CollectionWhat Should Be the Source of the Reference Data?How Should the Reference Data Be Collected?When Should the Reference Data Be Collected?Ensuring Objectivity and ConsistencyBasic Analysis TechniquesKappaMargfitConditional KappaWeighted KappaCompensation for Chance AgreementConfidence LimitsArea Estimation/CorrectionAnalysis of Differences in the Error MatrixErrors in the Reference DataSensitivity of the Classification Scheme to Observer VariabilityInappropriateness of the Remote Sensing Data Employed to Make the MapMapping ErrorSummaryAppendix 8.1: Wrangell-St. Elias National Park and Preserve: Land Cover Mapping Classification KeyFuzzy Accuracy AssessmentExpanding the Major Diagonal of the Error MatrixMeasuring Map Class VariabilityThe Fuzzy Error Matrix ApproachSummaryCase StudyAccuracy Assessment for the NOAA Next-Generation C-CAP Pilot ProjectOverview of the Case StudyDesign of the Accuracy AssessmentData CollectionAnalysisLessons LearnedAppendix 10.1: Decision Rules for the Classification SchemeAdvanced TopicsChange DetectionMultilayer AssessmentsAppendix 11.1: Class Descriptions of the 2005 NLCD Land CoverBibliographyIndex_
