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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| Những tác giả chính: | , |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
CRC Press
2009
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/985 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | 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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