Characterization of Rice Paddies by a UAV-Mounted Miniature Hyperspectral Sensor System

التفاصيل البيبلوغرافية
العنوان: Characterization of Rice Paddies by a UAV-Mounted Miniature Hyperspectral Sensor System
المؤلفون: Yukio Kosugi, Kuniaki Uto, Genya Saito, Haruyuki Seki
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(No. 2):851-860
بيانات النشر: IEEE, 2013.
سنة النشر: 2013
مصطلحات موضوعية: Atmospheric Science, hyperspectral image, business.industry, UAV, Near-infrared spectroscopy, Sampling (statistics), Hyperspectral imaging, Data acquisition, Range (aeronautics), Data logger, Assisted GPS, Global Positioning System, Environmental science, chlorophyll, Computers in Earth Sciences, business, Remote sensing, agriculture
الوصف: A low-cost, small, lightweight hyperspectral sensor system that can be loaded onto small unmanned autonomous vehicle (UAV) platforms has been developed for the acquisition of aerial hyperspectral data. Safe and easy observation is possible under unstable illumination conditions by using lightweight and autonomous cruising. The hyperspectral sensor system, equipped with a 256-band hyperspectral sensor covering a spectral range from 340–763 nm, a GPS and a data logger, is 400 g in total weight. The acquisition period for each sampling, 768 bytes, is 100 ms. The aerial hyperspectral data of rice paddies are collected under cloudy weather. The flight altitude from the ground is 10 m, and the cruising speed is 2 m/s. The high-accuracy estimation of the chlorophyll densities is confirmed, even under unstable illumina- tion conditions, by frequent monitoring of the illumination level and the chlorophyll indices, based on the red-edge (RE) and near infrared (NIR) spectral ranges.
اللغة: English
تدمد: 1939-1404
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::598b152580799272e8b306107e711e77
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100695365
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....598b152580799272e8b306107e711e77
قاعدة البيانات: OpenAIRE