Analyses of spaceborne hyperspectral and directional CHRIS data to deliver crop status for precision agriculture

Silke Begiebing; Heike Bach; Daniel Waldmann; Wolfram Mauser

Analyses of spaceborne hyperspectral and directional CHRIS data to deliver crop status for precision agriculture

In: Precision Agriculture â05

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Silke Begiebing

Silke Begiebing ¹VISTA Geowissenschaftliche Fernerkundung GmbH, Gabelsbergerstrasse. 51, D-80333 Munich, Germany

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Heike Bach

Heike Bach ¹VISTA Geowissenschaftliche Fernerkundung GmbH, Gabelsbergerstrasse. 51, D-80333 Munich, Germany

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Daniel Waldmann

Daniel Waldmann ¹VISTA Geowissenschaftliche Fernerkundung GmbH, Gabelsbergerstrasse. 51, D-80333 Munich, Germany

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, and

Wolfram Mauser

Wolfram Mauser ²Department for Earth and Environmental Sciences, Luisenstrasse 37, D-80333 Munich, Germany Begiebing@vista-geo.de

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Type:: Chapter

Pages:: 227â234

DOI:: https://doi.org/10.3920/978-90-8686-549-9_028

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CHRIS is the first spaceborne multiangular imaging spectrometer with high spatial resolution. CHRIS data was analyzed to deliver input information for precision agriculture. The reflectance spectra obtained were compared with optical radiative transfer simulation results of SLC, an extended version of the canopy reflectance model GeoSAIL. Directional reflectance spectra are extracted and the directional variations compared to the model results. As results from the optical modelling approach, crop parameters such as LAI and chlorophyll content are retrieved from the CHRIS data and provided as spatial maps. These can be further used for plant production simulations.

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Precision Agriculture â05

E-Book ISBN:: 9789086865499

Publisher:: Wageningen Academic

Print Publication Date:: 24 Oct 2005

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Analyses of spaceborne hyperspectral and directional CHRIS data to deliver crop status for precision agriculture

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Precision Agriculture â05

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