Remote Sensing and GIS Accuracy Assessment
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 remo...
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CRC Press
2009
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/985 |
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Thư viện Trường Đại học Đà Lạt |
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English |
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Environmental Sciences |
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Environmental Sciences Lunetta, Ross Lyon, John Remote Sensing and GIS Accuracy Assessment |
| description |
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. |
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Book |
| author |
Lunetta, Ross Lyon, John |
| author_facet |
Lunetta, Ross Lyon, John |
| author_sort |
Lunetta, Ross |
| title |
Remote Sensing and GIS Accuracy Assessment |
| title_short |
Remote Sensing and GIS Accuracy Assessment |
| title_full |
Remote Sensing and GIS Accuracy Assessment |
| title_fullStr |
Remote Sensing and GIS Accuracy Assessment |
| title_full_unstemmed |
Remote Sensing and GIS Accuracy Assessment |
| title_sort |
remote sensing and gis accuracy assessment |
| publisher |
CRC Press |
| publishDate |
2009 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/985 |
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1757656561437638656 |
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oai:scholar.dlu.edu.vn:DLU123456789-9852009-10-12T04:01:36Z Remote Sensing and GIS Accuracy Assessment Lunetta, Ross Lyon, John Environmental Sciences 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. 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 2009-10-12T04:01:36Z 2009-10-12T04:01:36Z 2004 Book 978156670443 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/985 en application/octet-stream CRC Press |