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๐Ÿ“

Remote Sensing and GIS Accuracy Assessment

โœ Scribed by Ross S. Lunetta, John G. Lyon (eds)


Publisher
CRC Press
Year
2004
Tongue
English
Leaves
320
Edition
1
Category
Library

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โœฆ Synopsis


The development of robust accuracy assessment methods for the validation of spatial data represents a difficult challenge for the geospatial science community. Obstacles to robust assessments include continuous data characteristics and positional errors, demanding ongoing development by GIS and remote sensing experts.Based upon a special symposium sponsored by the U.S. Environmental Protection Agency (EPA), Remote Sensing and GIS Accuracy Assessment evaluates the important scientific elements related to the performance of accuracy assessments for remotely sensed data, GIS data analysis, and integration products. Scientists from federal, state, and local governments, academia, and nongovernmental organizations present twenty technical chapters that examine sampling issues, reference data collection, edge and boundary effects, error matrix and fuzzy assessments, error budget analysis, and change detection accuracy assessment.The book includes the keynote presentation by Russell G. Congalton that provides a historical accuracy assessment overview, articulatescurrent technical shortcomings, and identified numerous issues that were debated throughout the symposium. All chapters underwent a peer review and were determined to be valuable to the remote sensing and GIS community. The editors arranged the chapters as a series of complementary scientific topics to provide you with a detailed treatise on spatial data accuracy assessment issues.

โœฆ Table of Contents


Front cover......Page p0001.djvu
Preface......Page p0006.djvu
Acknowledgments......Page p0008.djvu
Contributors......Page p0010.djvu
Contents......Page p0014.djvu
CHAPTER 1. Putting the Map Back in Map Accuracy Assessment......Page p0016.djvu
CHAPTER 2. Sampling Design for Accuracy Assessment of Large-Area, Land-Cover Maps: Challenges and Future Directions......Page p0028.djvu
CHAPTER 3. Validation of Global Land-Cover Products by the Committee on Earth Observing Satellites......Page p0046.djvu
CHAPTER 4. In Situ Estimates of Forest LAI for MODIS Data Validation......Page p0056.djvu
CHAPTER 5. Light Attenuation Profiling as an Indicator of Structural Changes in Coastal Marshes......Page p0074.djvu
CHAPTER 6. Paricipatory Reference Data Collection Methods for Accuracy Assessment of Land-Cover Change Maps......Page p0090.djvu
CHAPTER 7. Thermatic Accuracy Assessment of Regional Scale Land-Cover Data......Page p0106.djvu
APPENDIX A: MRLC Classifcation Scheme and Class Definitions......Page p0117.djvu
CHAPTER 8. An Independent Reliability Assessment for the Austrailian Agricultural Land-Cover Change Project 1990/91-1995......Page p0120.djvu
CHAPTER 9. Assessing the Accuracy of Satellite-Derived Land-Cover Classification Using Historical Aerial Photography, Digital Orthophoto Quadrangles, and Airborne Video Data......Page p0130.djvu
CHAPTER 10. Using Classification Consistency in Interscene Overlaps Areas to Model Spatial Variations in Land-Cover Accuracy over Large Geographic Regions......Page p0148.djvu
CHAPTER 11. Geostatistical Mapping of Thematic Classifiation Uncertainty......Page p0160.djvu
CHAPTER 12. An Error Matrix Approach to Fuzzy Accuracy Assessment: The NIMA Geocover Project......Page p0178.djvu
APPENDIX A: Classification Rules......Page p0187.djvu
CHAPTER 13. Mapping Spatial Accuracy and Estimating Landscape Indicators from Thematic Land-Cover Maps Using Fuzzy Set Theory......Page p0188.djvu
CHAPTER 14. Fuzzy Set and Spatial Analysis Techniques for Evaluating Thematic Accuracy of a Land-Cover Map......Page p0204.djvu
APPENDIX A: Arizona Gap Analysis Classification System......Page p0221.djvu
CHAPTER 15. The Effects of Classification Accuracy on Landscape Indices......Page p0224.djvu
CHAPTER 16. Assessing Uncertainty in Spatial Landscape Metrics Derived from Remote Sensing Data......Page p0236.djvu
CHAPTER 17. Components of Agreement between Categorical Maps at Multiple Resolutions......Page p0248.djvu
CHAPTER 18. Accuracy Assessment of Airborne Hyperspectral Data for Mapping Opportunistic Plant Species in Freshwater Coastal Wetlands......Page p0268.djvu
CHAPTER 19. A Technique for Assessing the Accuracy of Subpixel Impervious Surface Estimates Derived from Landsat TM Imagery......Page p0284.djvu
CHAPTER 20. Area and Positional Accuracy of DMSP Nighttime Lights Data......Page p0296.djvu
Index......Page p0308.djvu
Back cover......Page p0320.djvu


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