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Development of Rice Yield Estimation Method based on Spaceborne Hyperspectral Data: Preliminary Study using Airborne Hyperspectral Data | IEEE Conference Publication | IEEE Xplore
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Development of Rice Yield Estimation Method based on Spaceborne Hyperspectral Data: Preliminary Study using Airborne Hyperspectral Data

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Shinya Odagawa; Masatane Kato; Tomoyuki Suhama; Jiro Sasaki; Kuniaki Uto; Yukio Kosugi
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Abstract:

Bidirectional Reflectance Distribution Function (BRDF) would affect the data acquired by a future spaceborne hyperspectral sensor with pointing capability. BRDF of rice w...Show More

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Abstract:

Bidirectional Reflectance Distribution Function (BRDF) would affect the data acquired by a future spaceborne hyperspectral sensor with pointing capability. BRDF of rice was measured by FieldSpec and an airborne hyperspectral sensor (AISA) in this study to improve estimate accuracy of rice yield and crude protein using BRDF correction. As a result, an error of reflectance caused by BRDF was corrected. In addition, this study confirmed that estimate accuracy of crude protein was unaffected by BRDF in range of AISA's FOV (22 degrees).
Published in: IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
Date of Conference: 07-11 July 2008
Date Added to IEEE Xplore: 10 February 2009
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ISSN Information:

DOI: 10.1109/IGARSS.2008.4779448
Conference Location: Boston, MA, USA
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