Method for Estimation of Grow Index of Tealeaves Based on Bi- Directional Reflectance Distribution Function: BRDF Measurements With Ground Based Network Cameras
نویسنده
چکیده
Methods for estimation of grow index of tealeaves based on Bi-directional Reflectance Distribution Function: BRDF measurements with ground based network cameras is proposed. Due to a fact that Near Infrared: NIR camera data is proportional to total nitrogen while that shows negative correlation to fiber contents, it is possible to estimate nitrogen and fiber contents in tealeaves with ground based NIR camera data and remote sensing satellite data. Through regressive analysis between measured total nitrogen and fiber contents and NIR reflectance of tealeaves in tea estates, it is found that there is a good correlation between both then regressive equations are created. Also it is found that monitoring of a grow index of tealeaves with BRDF measured with networks cameras is valid. Thus it is concluded that a monitoring of tea estates with network cameras of visible and NIR is appropriate.
منابع مشابه
Development Of An Operational Procedure To Estimate Surface Albedo From The SEVIRI/MSG Observing System In Using Polder BRDF Measurements
A statistical inversion method is presented in support to the application of kernel-based BRDF (Bi-directional Reflectance Distribution Function) models for the calculation of the surface albedo. We present an operational procedure for the inversion of kernel-driven BRDF model and further albedo retrieval to be applicable to the SEVIRI/MSG reflectance measurements. The processing steps applied ...
متن کاملBRDF Estimation for Faces from a Sparse Dataset Using a Neural Network
We present a novel five source near-infrared photometric stereo 3D face capture device. The accuracy of the system is demonstrated by a comparison with ground truth from a commercial 3D scanner. We also use the data from the five captured images to model the Bi-directional Reflectance Distribution Function (BRDF) in order to synthesise images from novel lighting directions. A comparison of thes...
متن کاملEstimation of Nitrogen Vertical Distribution by Bi-Directional Canopy Reflectance in Winter Wheat
Timely measurement of vertical foliage nitrogen distribution is critical for increasing crop yield and reducing environmental impact. In this study, a novel method with partial least square regression (PLSR) and vegetation indices was developed to determine optimal models for extracting vertical foliage nitrogen distribution of winter wheat by using bi-directional reflectance distribution funct...
متن کاملBi-Directional Reflectance Distribution Function: BRDF Effect on Un-mixing, Category Decomposition of the Mixed Pixel (MIXEL) of Remote Sensing Satellite Imagery Data
Method for unmixing, category decomposition of the mixed pixel (MIXEL) of remote sensing satellite imagery data taking into account the effect due to Bi-Directional Reflectance Distribution Function: BRDF is proposed. Although there is not so small BRDF effect on estimation mixing ratios, conventional unmixing methods do not take into account the effect. Through experiments, the effect is clari...
متن کاملDEVELOPMENT OF AN OPERATIONAL PROCEDURE TO ESTIMATE SURFACE ALBEDO FROM THE SEVIRI/MSG OBSERVING SYSTEM BY USING POLDER BRDF MEASUREMENTS: I. Data quality control and accumulation of information corresponding to the IGBP land cover classes
In this paper, we present an operational procedure for the inversion of kernel-driven bi-directional reflectance distribution function (BRDF) model and further albedo retrieval to be applicable to the SEVIRI/MSG reflectance measurements. Our approach aims at bringing solutions to an ill posed problem that is when the ratio of extreme eigenvalues of the inverse matrix is of several orders of mag...
متن کامل