Estimating fractional vegetation cover at the subpixel scale in a semiarid region using a statistical mixture model and remotely sensed data

Jeff Duncan; Janet Franklin

Estimating fractional vegetation cover at the subpixel scale in a semiarid region using a statistical mixture model and remotely sensed data

Jeff Duncan, Janet Franklin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The semiarid Sahel of West Africa has been subject to increased degradation in recent decades. In order to utilize remotely sensed data to monitor surface changes over time, it is necessary to develop and test methods for deriving quantitative information on surface components which typically occur as mixtures at the sub-pixel scale. In this preliminary study, the broad band spectra of surface components in the HAPEX-Sahel study area were analyzed for their potential affects on spectral mixture models of remotely sensed data. Non-linear spectral interactions between the woody canopy and substrate (soil and herbaceous layer) were also examined.

Original language	English (US)
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Publication	Piscataway, NJ, United States
Publisher	IEEE
Pages	1046-1048
Number of pages	3
Volume	2
State	Published - 1994
Externally published	Yes
Event	Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) - Pasadena, CA, USA Duration: Aug 8 1994 → Aug 12 1994

Other

Other	Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4)
City	Pasadena, CA, USA
Period	8/8/94 → 8/12/94

ASJC Scopus subject areas

Software
Geology

Cite this

Estimating fractional vegetation cover at the subpixel scale in a semiarid region using a statistical mixture model and remotely sensed data. / Duncan, Jeff; Franklin, Janet.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2 Piscataway, NJ, United States: IEEE, 1994. p. 1046-1048.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Duncan, J & Franklin, J 1994, Estimating fractional vegetation cover at the subpixel scale in a semiarid region using a statistical mixture model and remotely sensed data. in International Geoscience and Remote Sensing Symposium (IGARSS). vol. 2, IEEE, Piscataway, NJ, United States, pp. 1046-1048, Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4), Pasadena, CA, USA, 8/8/94.

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AB - The semiarid Sahel of West Africa has been subject to increased degradation in recent decades. In order to utilize remotely sensed data to monitor surface changes over time, it is necessary to develop and test methods for deriving quantitative information on surface components which typically occur as mixtures at the sub-pixel scale. In this preliminary study, the broad band spectra of surface components in the HAPEX-Sahel study area were analyzed for their potential affects on spectral mixture models of remotely sensed data. Non-linear spectral interactions between the woody canopy and substrate (soil and herbaceous layer) were also examined.

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BT - International Geoscience and Remote Sensing Symposium (IGARSS)

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T2 - Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4)

Y2 - 8 August 1994 through 12 August 1994

ER -

Estimating fractional vegetation cover at the subpixel scale in a semiarid region using a statistical mixture model and remotely sensed data

Abstract

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ASJC Scopus subject areas

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