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Development of Rice Yield Estimation Method based on Spaceborne Hyperspectral Data: Preliminary Study using Airborne Hyperspectral Data

التفاصيل البيبلوغرافية
العنوان:	Development of Rice Yield Estimation Method based on Spaceborne Hyperspectral Data: Preliminary Study using Airborne Hyperspectral Data
المؤلفون:	T. Suhama, Jiro Sasaki, Genya Saito, Shinya Odagawa, Yukio Kosugi, Kuniaki Uto, Masatane Kato
المصدر:	IGARSS (3)
سنة النشر:	2008
مصطلحات موضوعية:	MFAES, Hyperspectral imaging, Bidirectional Reflectance Distribution Function, sensors, spaceborne hyperspectral sensor, Crude protein content percentage, spaceborne radar, AISA, Spaceborne radar, atmospheric boundary layer, Japan, airborne radar, remote sensing by radar, Rice yield, Remote sensing, FOV, Miyagi Prefectural Furukawa Agricultural Experiment Station, BRDF, crude protein estimation, crops, Reflectivity, airborne hyperspectral sensor, Yield estimation, Hyperspectral data application, Environmental science, Bidirectional reflectance distribution function, rice yield estimation, FieldSpec measurement
الوصف:	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).
اللغة:	English
URL الوصول:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dace7ed797f537d5f00a77c5363c6d6 http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100695766
رقم الأكسشن:	edsair.doi.dedup.....6dace7ed797f537d5f00a77c5363c6d6
قاعدة البيانات:	OpenAIRE

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