Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural mediterranean vegetation compositions

Maxim Shoshany; Tal Svoray

Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural mediterranean vegetation compositions

Maxim Shoshany
, Tal Svoray

Department of Environment, Planning and Sustainability

Bar-Ilan University

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

A simple technique was developed that allows differentiation between pixel fractions of two natural Mediterranean vegetation components: herbaceous growth and woody plants. It was found that most of the area is heterogeneous in its fraction distribution indicating the level of mixing of the different vegetation formations.

Original language	English
Pages	640-642
Number of pages	3
State	Published - 1999
Event	Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Ger Duration: 28 Jun 1999 → 2 Jul 1999

Conference

Conference	Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
City	Hamburg, Ger
Period	28/06/99 → 2/07/99

Cite this

Shoshany, M., & Svoray, T. (1999). Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural mediterranean vegetation compositions. 640-642. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger.

Shoshany, Maxim ; Svoray, Tal. / Multitemporal analysis of multispectral unmixing : a satellite remote sensing quantification of natural mediterranean vegetation compositions. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger.3 p.

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abstract = "A simple technique was developed that allows differentiation between pixel fractions of two natural Mediterranean vegetation components: herbaceous growth and woody plants. It was found that most of the area is heterogeneous in its fraction distribution indicating the level of mixing of the different vegetation formations.",

author = "Maxim Shoshany and Tal Svoray",

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language = "אנגלית",

pages = "640--642",

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Shoshany, M & Svoray, T 1999, 'Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural mediterranean vegetation compositions', Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, 28/06/99 - 2/07/99 pp. 640-642.

Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural mediterranean vegetation compositions. / Shoshany, Maxim; Svoray, Tal.
1999. 640-642 Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger.

Research output: Contribution to conference › Paper › peer-review

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Shoshany M, Svoray T. Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural mediterranean vegetation compositions. 1999. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger.

Multitemporal analysis of multispectral unmixing: a satellite remote sensing quantification of natural mediterranean vegetation compositions

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Conference

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