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A new approach using various remote sensing data for vegetation parameter retrieval as input to ecosystem models


Huber, Silvia; Schopfer, Jürg T; Kneubühler, Mathias; Nieke, Jens; Itten, Klaus I (2004). A new approach using various remote sensing data for vegetation parameter retrieval as input to ecosystem models. In: Envisat & ERS Symposium, Salzburg, Austria, 6 September 2004 - 10 September 2004, 314-319.

Abstract

The objective of the following outline is to propose a method of combining various remote sensing data and to point out the potential of diverse remote sensing data as an input to local, regional or global ecosystem models. The combination of different data sources including several observing geometries and an ensured comparability of the retrieved data products demand for a uniform baseline of normalized ground reflectance data (geometrically, atmospherically, and BRDF corrected), which also provides the possibility of comparison between different sensors and observing geometries for calibration/validation purposes. Possible disadvantages of a spatial and spectral information loss have to be assessed, being a result of the necessary resampling and spectral convolution.

Abstract

The objective of the following outline is to propose a method of combining various remote sensing data and to point out the potential of diverse remote sensing data as an input to local, regional or global ecosystem models. The combination of different data sources including several observing geometries and an ensured comparability of the retrieved data products demand for a uniform baseline of normalized ground reflectance data (geometrically, atmospherically, and BRDF corrected), which also provides the possibility of comparison between different sensors and observing geometries for calibration/validation purposes. Possible disadvantages of a spatial and spectral information loss have to be assessed, being a result of the necessary resampling and spectral convolution.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:10 September 2004
Deposited On:26 Aug 2014 16:00
Last Modified:08 Dec 2017 07:02
Publisher:s.n.
ISBN:92-9092-883-2
Free access at:Official URL. An embargo period may apply.
Official URL:http://earth.esa.int/workshops/salzburg04/papers_posters/2P02_2_huber_173.pdf
Related URLs:http://earth.esa.int/workshops/salzburg04/proceedings.html

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