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Field management system for green tea utilizing on-site remote sensing technique
Byungdug Jun,Kenshi Torao,Jieqi Fu,Yoshihiko Horiuchi,Jong-Hwan Kim,Eung-Nam Kim 대한공간정보학회 2016 Spatial Information Research Vol.24 No.3
In this study, the on-site remote sensing tech- nology was applied to the green tea field. This research is about the development of the management system named ‘‘N-system’’ as an experimental system and ‘‘T-system named Tsumigorou’’ as a real operation system to check the growth rate or environment state of the green tea. The purpose of this study is to apply to the production site with the green tea and make the management system named ‘‘T- system’’ by the name of ‘‘Tsumigorou’’. N-system was used to make a detailed field survey in many green tea fields in Japan. And then, This ‘‘N-system’’ has evolved network system into named ‘‘T-system’’ which consists of hardware and software. NDVI value was simulated as a result of ‘‘N-system’’ and ‘‘T-system’’. Through field sur- vey, the correlation coefficient of a component of green tea such as weight, total nitrogen, amino acids, and fiber and NDVI was calculated. In the results, NDVI G have a strong correlation coefficient with fibers. Its correlation coefficient between NDVI G and the fibers of third picked tea in 2011 was R2 = 0.90 at MIYAKONOJO green tea field. ‘‘T- system’’ has a good relationship (Total R2 = 0.76) between vegetable fiber and NDVI IR .
Investigation of the coastal zone environment using remote sensing data acquired form landsat-5/TM
Byungdug Jun,Keinosuke Gotoh,In-Tae Yang 江原大學校 附設 環境硏究所 1992 環境硏究 Vol.9 No.-
Application of remote sensing techniques to study the environment investigation of Omura Bay. Nagasaki Prefecture, Japan and vicinity of Ulsan harbor, Korea are described. Remote sensing of transparency / sea surface temperature(SST) / water depth and its application to the mapping of three dimension using personal computer from Landsat-5/TM sensors data is discussed. After an introduction to the image processing related to above-said theme involved, the method to decrease error (instrumentation error of satellite sensors and so on) for the investigation of transparency, SST and water depth using Landsat-5/TM data are indicated. These methods are yielded a root mean square (r.m.s) error of 0.21m, 0.49? and 2.55m for transparency, SST and water depth in Omura Bay data, Nagasaki Prefecture, Japan respectively. The suggested model is applied to around Ulsan harbor area. Kyungsungnamdo, Korea.