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Remote Sensing and GIS Accuracy Assessment (Mapping Science) [Hardcover]

Ross S. Lunetta (Editor), John G. Lyon (Editor)
1.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

July 27, 2004 156670443X 978-1566704434 1
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.

Product Details

  • Hardcover: 304 pages
  • Publisher: CRC Press; 1 edition (July 27, 2004)
  • Language: English
  • ISBN-10: 156670443X
  • ISBN-13: 978-1566704434
  • Product Dimensions: 10 x 6.9 x 0.9 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 1.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,633,087 in Books (See Top 100 in Books)

 

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1.0 out of 5 stars Misleading title, February 3, 2009
This review is from: Remote Sensing and GIS Accuracy Assessment (Mapping Science) (Hardcover)
The role of an editor in an anthology such as this one is to ensure that chapters follow each other in a logical sequence, don't overlap and, in the end, provide information much like a text book would.

This book does none of that. It reads more like a scientific journal composed of random papers. The only exception are chapters 1,2 and 3 which accurately reflect the title of the book. The other chapters are of varying quality, but do not collectively tell the story of remote sensing and GIS accuracy assessment. They are disjointed and seem to have no relation to each other.
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Inside This Book (learn more)
First Sentence:
The need for assessing the accuracy of a map generated from any remotely sensed data has become universally recognized as an integral project component. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
light attenuation profiles, ecotone abruptness, landscape metric values, preposterior probabilities, simulated reflectance values, thematic accuracy assessment, impervious surface estimates, validation pixels, accuracy assessment sites, hemitomon marsh, regional spatial control, selected landscape indices, light penetration measurements, fuzzy accuracy assessment, impervious surface percentage, multilevel agreement, indicator covariance models, subpixel estimates, airborne video data, design for accuracy assessment, airborne hyperspectral data, national land cover data, upland map, grid cell level, substratum level
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Remote Sens, Great Basin, San Pedro, Pointe Mouillee, New York, Dead Run, United States, Environmental Protection Agency, Landsat Thematic Mapper, Geological Survey, Boca Raton, Interior Chaparral, Forest Service, International Symposium, Laurentian Great Lakes, Albemarle-Pamlico Basin, Decagon Devices, Machadinho D'Oeste, University of Arizona, Ann Arbor, Brazilian Amazon, Lake Erie, Spatial Accuracy Assessment, Anderson Level, Bureau of Rural Sciences
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