Remote Sensing and GIS Accuracy Assessment
Features
Summary
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.
Table of Contents
Putting the Map Back in Map Accuracy Assessment
Russell G. Congalton
Sampling Design for Accuracy Assessment of Large-Area, Land-Cover Maps: Challenges and Future Directions
Stephen V. Stehman
Validation of Global Land-Cover Products by the Committee on Earth Observing Satellites
Jeffrey T. Morisette, Jeffrey L. Privette, Alan Strahler, Philippe Mayaux, and Christopher O. Justice
In Situ Estimates of Forest LAI for MODIS Data Validation
John S. Iiames, Jr., Andrew N. Pilant, and Timothy E. Lewis
Light Attenuation Profiling as an Indicator of Structural Changes in Coastal Marshes
Elijah Ramsey III, Gene Nelson, Frank Baarnes, and Ruth Spell
Participatory Reference Data Collection Methods for Accuracy Assessment of Land-Cover Change Maps
John Sydenstricker-Neto, Andrea Wright Parmenter, and Stephen D. DeGloria
Thematic Accuracy Assessment of Regional Scale Land-Cover Data
Siamak Khorram, Joseph F. Knight, and Halil I. Cakir
An Independent Reliability Assessment for the Australian Agricultural Land-Cover Change Project 1990/91-1995
Michele Barson, Vivienne Bordas, Kim Lowell, and Kim Malafant
Assessing the Accuracy of Satellite-Derived Land-Cover Classification Using Historical Aerial Photography, Digital Orthophoto Quadrangles, and Airborne Video Data
Susan M. Skirvin, William G. Kepner, Stuart E. Marsh, Samuel E. Drake, John K. Maingi,
Curtis M. Edmonds, Christopher J. Watts, and David R. Williams
Using Classification Consistency in Interscene Overlap Areas to Model Spatial Variations in Land-Cover Accuracy over Large Geographic Regions
Bert Guindon and Curtis M. Edmonds
Geostatistical Mapping of Thematic Classification Uncertainty
Phaedon C. Kyriakidis, Xiaohang Liu, and Michael F. Goodchild
An Error Matrix Approach to Fuzzy Accuracy Assessment: The NIMA Geocover Project
Kass Green and Russell G. Congalton
Mapping Spatial Accuracy and Estimating Landscape Indicators from Thematic Land-Cover Maps Using Fuzzy Set Theory
Liem T. Tran, S. Taylor Jarnagin, C. Gregory Knight, and Latha Baskaran
Fuzzy Set and Spatial Analysis Techniques for Evaluating Thematic Accuracy of a Land-Cover Map
Sarah R. Falzarano and Kathryn A. Thomas
The Effects of Classification Accuracy on Landscape Indices
Guofan Shao and Wenchun Wu
Assessing Uncertainty in Spatial Landscape Metrics Derived from Remote Sensing Data
Daniel G. Brown, Elisabeth A. Addink, Jiunn-Der Duh, and Mark A. Bowersox
Components of Agreement Between Categorical Maps at Multiple Resolutions
R. Gil Pontius, Jr. and Beth Suedmeyer
Accuracy Assessments of Airborne Hyperspectral Data for Mapping Opportunistic Plant Species in Freshwater Coastal Wetlands
Ricardo D. Lopez, Curtis M. Edmonds, Anne C. Neale, Terrence Slonecker, K. Bruce Jones, Daniel T. Heggem, John G. Lyon, Eugene Jaworski, Donald Garofalo, and David Williams
A Technique for Assessing the Accuracy of Subpixel Impervious Surface Estimates Derived from Landsat TM Imagery
S. Taylor Jarnagin, David B. Jennings, and Donald W. Ebert
Area and Positional Accuracy of DMSP Nighttime Lights Data
Christopher D. Elvidge, Jeffrey Safran, Ingrid L. Nelson, Benjamin T. Tuttle, Vinita Ruth Hobson, Kimberly E. Baugh, John B. Dietz, and Edward H. Erwin
