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Accuracy levels of land cover classi...

Brown, Bonnie J.

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Accuracy levels of land cover classified maps derived from mid and high spatial resolution remote sensing data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Accuracy levels of land cover classified maps derived from mid and high spatial resolution remote sensing data./
作者:	Brown, Bonnie J.
面頁冊數:	310 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Contained By:	Dissertation Abstracts International77-02B(E).
標題:	Forestry. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3664267
ISBN:	9781339184722

Accuracy levels of land cover classified maps derived from mid and high spatial resolution remote sensing data.
Brown, Bonnie J.

Accuracy levels of land cover classified maps derived from mid and high spatial resolution remote sensing data. - 310 p.

Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.

Thesis (Ph.D.)--Stephen F. Austin State University, 2015.

This dissertation compares the accuracy of results of classifying data from mid-level to very high spatial resolutions (Landsat ETM+, SPOT 4, ASTER, SPOT 5, and QuickBird). Data from all of these sensors were classified for both urban and rural settings. The dissertation also examines accuracy levels between spectral and radiometric resolutions. Finally, it investigates the role that shadow plays in affecting accuracy levels from higher spatial resolution satellites.

ISBN: 9781339184722Subjects--Topical Terms:

895157
Forestry.

Accuracy levels of land cover classified maps derived from mid and high spatial resolution remote sensing data.
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245 1 0 $a Accuracy levels of land cover classified maps derived from mid and high spatial resolution remote sensing data.
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500 $a Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
500 $a Adviser: Daniel Unyer.
502 $a Thesis (Ph.D.)--Stephen F. Austin State University, 2015.
520 $a This dissertation compares the accuracy of results of classifying data from mid-level to very high spatial resolutions (Landsat ETM+, SPOT 4, ASTER, SPOT 5, and QuickBird). Data from all of these sensors were classified for both urban and rural settings. The dissertation also examines accuracy levels between spectral and radiometric resolutions. Finally, it investigates the role that shadow plays in affecting accuracy levels from higher spatial resolution satellites.
520 $a To compare as to whether there were significant differences in the accuracy levels between different sensors, each map's accuracy percentages were analyzed using Z-scores and kappa as described in the methodology section.
520 $a QuickBird, with the highest spatial resolution, performed significantly more poorly in terms of providing accurate classification than any other sensor with respect to the rural environment. It also was significantly worse than Landsat ETM+ in providing accurate classification in the urban environment.
520 $a In order to control for radiometric resolution, the 11-bit QuickBird data were converted to 8-bit data since QuickBird is the only sensor that does not have the same radiometric resolution. The resulting classification accuracy percentages were no better than that of random chance.
520 $a When testing for accuracy in classification using only the three bands common to all sensors (green, red, and near-infrared) the result was there was essentially no difference between any of the sensors. This outcome supports the hypothesis that spectral resolution plays an important role in land cover accuracy.
520 $a Using simple linear regression, the relationship between the percentage of shadow pixels and spatial resolution is examined. There is a moderate relationship between the spatial resolution of sensors and the percentages of shadow pixels where sensors with higher spatial resolution have a higher percentage of shadow pixels. These results agreed with literature from other studies in similar environments.
590 $a School code: 6340.
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