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Method for Estimation of Damage Grade and Damaged Paddy Field Areas due to Salt Containing sea Breeze with Typhoon Using Remote Sensing Satellite Imagery Data
Kohei Arai
Pages - 84 - 92     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 2   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Typhoon Disaster, NIR Radiometer, Remote Sensing Satellite, Sea Breeze, Salt Amount Attached to Rice Crop Leaves, Paddy Field
ABSTRACT
Methods for estimation of damage grade and damaged paddy field areas due to salt containing sea breeze with typhoon using remote sensing satellite imagery data is proposed. Due to a fact that Near Infrared: NIR camera data is proportional to vitality of vegetation, it is possible to estimate damage grade and damaged paddy field areas due to salt containing sea breeze with typhoon using NIR channels of remote sensing satellite imagery data. Through regressive analysis between measured and estimated damage grade and damaged paddy field areas, it is found that there is a good correlation between both. Also it is found that there is a proportional relation between salt amount attached to the rice crop leaves and NIR reflectance measured with NIR channels of remote sensing satellite imagery data. Thus it is validated the proposed estimation method for damage grade and damaged paddy field areas due to salt containing sea breeze with typhoon using NIR channels of remote sensing satellite imagery data.
CITED BY (3)  
1 Arai, K., Sakashita, M., Shigetomi, O., & Miura, Y. (2015). Relation between Rice Crop Quality (Protein Content) and Fertilizer Amount as Well as Rice Stump Density Derived from Helicopter Data. Relation, 4(7).
2 Arai, K., Sakashita, M., Shigetomi, O., & Miura, Y. Estimation of Protein Content in Rice Crop and Nitrogen Content in Rice Leaves Through Regression Analysis with NDVI Derived from Camera Mounted Radio-Control Helicopter.
3 Arai, K. Rice Crop Quality Evaluation Method through Regressive Analysis between Nitrogen Content and Near Infrared Reflectance of Rice Leaves Measured from Near Field.
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Dr. Kohei Arai
- Japan