chapter 1 Putting the Map Back in Map Accuracy Assessment -- chapter 2 Sampling Design for Accuracy Assessment of Large-Area, Land-Cover Maps: Challenges and Future Directions -- chapter 3 Validation of Global Land-Cover Products by the Committee on Earth Observing Satellites -- chapter 4 In Situ Estimates of Forest LAI for MODIS Data Validation -- chapter 5 Light Attenuation Profiling as an Indicator of Structural Changes in Coastal Marshes -- chapter 6 Participatory Reference Data Collection Methods for Accuracy Assessment of Land-Cover Change Maps -- chapter 7 Thematic Accuracy Assessment of Regional Scale Land-Cover Data -- chapter 8 An Independent Reliability Assessment for the Australian Agricultural Land-Cover Change Project 1990/91-1995 -- chapter 9 Assessing the Accuracy of Satellite-Derived Land-Cover Classification Using Historical Aerial Photography, Digital Orthophoto Quadrangles, and Airborne Video Data -- chapter 10 Using Classification Consistency in Interscene Overlap Areas to Model Spatial Variations in Land-Cover Accuracy over Large Geographic Regions -- chapter 11 Geostatistical Mapping of Thematic Classification Uncertainty -- chapter 12 An Error Matrix Approach to Fuzzy Accuracy Assessment: The NIMA Geocover Project -- chapter 13 Mapping Spatial Accuracy and Estimating Landscape Indicators from Thematic Land-Cover Maps Using Fuzzy Set Theory -- chapter 14 Fuzzy Set and Spatial Analysis Techniques for Evaluating Thematic Accuracy of a Land-Cover Map -- chapter 15 The Effects of Classification Accuracy on Landscape Indices -- chapter 16 Assessing Uncertainty in Spatial Landscape Metrics Derived from Remote Sensing Data -- chapter 17 Components of Agreement between Categorical Maps at Multiple Resolutions -- chapter 18 Accuracy Assessments of Airborne Hyperspectral Data for Mapping Opportunistic Plant Species in Freshwater Coastal Wetlands -- chapter 19 A Technique for Assessing the Accuracy of Subpixel Impervious Surface Estimates Derived from Landsat TM Imagery -- chapter 20 Area and Positional Accuracy of DMSP Nighttime Lights Data.