Publication:

Correction of reflectance anisotropy effects of vegetation on airborne spectroscopy data and derived products

Date

Date

Date
2014
Journal Article
Published version

Citations

Citation copied

Weyermann, J., Damm, A., Kneubühler, M., & Schaepman, M. E. (2014). Correction of reflectance anisotropy effects of vegetation on airborne spectroscopy data and derived products. IEEE Transactions on Geoscience and Remote Sensing, 52(1), 616–627. https://doi.org/10.1109/TGRS.2013.2242898

Abstract

Abstract

Abstract

Directional effects in airborne imaging spectrometer (IS) data are mainly caused by anisotropic reflectance behavior of surfaces, commonly described by bi-directional reflectance distribution functions (BRDF). The radiometric and spectral accuracy of IS data is known to be highly influenced by such effects, which prevents consistent comparison of products. Several models were developed to approximate surface reflectance anisotropy for multi-angular observations. Few studies were carried out using such models for airborne flight lines

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1 since deposited on 2013-04-10
Acq. date: 2025-11-12

Additional indexing

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
52

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
616

Page end

Page end

Page end
627

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2014

Date available

Date available

Date available
2013-04-10

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0196-2892

OA Status

OA Status

OA Status
Closed

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1 since deposited on 2013-04-10
Acq. date: 2025-11-12

Citations

Citation copied

Weyermann, J., Damm, A., Kneubühler, M., & Schaepman, M. E. (2014). Correction of reflectance anisotropy effects of vegetation on airborne spectroscopy data and derived products. IEEE Transactions on Geoscience and Remote Sensing, 52(1), 616–627. https://doi.org/10.1109/TGRS.2013.2242898

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