Remote Sensing and GIS Accuracy Assessment (eBook, PDF)

Redaktion: Lunetta, Ross S.; Lyon, John G.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 326
• Erscheinungstermin: 27. Juli 2004
• Englisch
• ISBN-13: 9780203497586
• Artikelnr.: 38167750

Autorenporträt

Ross S. Lunetta, John G. Lyon

Inhaltsangabe

Putting the map back in map accuracy assessment. Sampling design for
accuracy assessment of large-area, land-cover maps: Challenges and future
directions. Validation of global land-cover products by the committee on
Earth observing satellites. In situ estimates of forest LAI for MODIS data
validation. Light attenuation profiling as an indicator of structural
changes in coastal marshes. Participatory reference data collection methods
for accuracy assessment of land-cover change maps. Thematic accuracy
assessment of regional scale land-cover data. An independent reliability
assessment for the Australian agricultural land-cover change project
1990/91-1995. Assessing the accuracy of satellite-derived land-cover
classification using historical aerial photography, digital orthophoto
quadrangles, and airborne video data. Using classification consistency in
interscene overlap areas to model spatial variations in land-cover accuracy
over large geographic regions. Geostatistical mapping of thematic
classification uncertainty. An error matrix approach to fuzzy accuracy
assessment: The NIMA geocover project. Mapping spatial accuracy and
estimating landscape indicators from thematic land-cover maps using fuzzy
set theory. Fuzzy set and spatial analysis techniques for evaluating
thematic accuracy of a land-cover map. The effects of classification
accuracy on landscape indices. Assessing uncertainty in spatial landscape
metrics derived from remote sensing data. Components of agreement between
categorical maps at multiple resolutions. Accuracy assessments of airborne
hyperspectral data for mapping opportunistic plant species in freshwater
coastal wetlands. A technique for assessing the accuracy of subpixel
impervious surface estimates derived from landsat TM imagery. Area and
positional accuracy of DMSP nighttime lights data.