Accuracy of Land Cover Maps Derived From Remotely Sensed Data

Daniel Unger; Bonnie Brown; I-Kuai Hung; Yanli Zhang

Accuracy of Land Cover Maps Derived From Remotely Sensed Data

Daniel Unger, Bonnie Brown, I-Kuai Hung, Yanli Zhang

Forestry

Producción científica: Other contribution

Resumen

Accurate knowledge of land cover and land cover change is essential for a wide range of objectives. Since the 1970's, remotely sensed data have been used increasingly as a means to classify and characterize the earth's land use and land cover. This project compares the accuracy of results of classifying data from mid-level to very high spatial resolutions (Landsat ETM+, SPOT 4, ASTER, SPOT 5, QuickBird). Data from all of these sensors were classified for both urban and rural settings. The project examines accuracy levels between spatial and spectral resolution.

Idioma original	Undefined/Unknown
Estado	Published - mar 27 2012

Series de publicaciones

Nombre	Faculty Publications

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Accuracy of Land Cover Maps Derived From Remotely Sensed Data

http://scholarworks.sfasu.edu/spatialsci/4

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abstract = "Accurate knowledge of land cover and land cover change is essential for a wide range of objectives. Since the 1970's, remotely sensed data have been used increasingly as a means to classify and characterize the earth's land use and land cover. This project compares the accuracy of results of classifying data from mid-level to very high spatial resolutions (Landsat ETM+, SPOT 4, ASTER, SPOT 5, QuickBird). Data from all of these sensors were classified for both urban and rural settings. The project examines accuracy levels between spatial and spectral resolution.",

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AU - Hung, I-Kuai

AU - Zhang, Yanli

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Y1 - 2012/3/27

N2 - Accurate knowledge of land cover and land cover change is essential for a wide range of objectives. Since the 1970's, remotely sensed data have been used increasingly as a means to classify and characterize the earth's land use and land cover. This project compares the accuracy of results of classifying data from mid-level to very high spatial resolutions (Landsat ETM+, SPOT 4, ASTER, SPOT 5, QuickBird). Data from all of these sensors were classified for both urban and rural settings. The project examines accuracy levels between spatial and spectral resolution.

AB - Accurate knowledge of land cover and land cover change is essential for a wide range of objectives. Since the 1970's, remotely sensed data have been used increasingly as a means to classify and characterize the earth's land use and land cover. This project compares the accuracy of results of classifying data from mid-level to very high spatial resolutions (Landsat ETM+, SPOT 4, ASTER, SPOT 5, QuickBird). Data from all of these sensors were classified for both urban and rural settings. The project examines accuracy levels between spatial and spectral resolution.

M3 - Other contribution

T3 - Faculty Publications

ER -