Analysis and evaluation of remote sensing data from satellites, UAVs and spectroradiometers for presicion agriculture
Analysis and evaluation of remote sensing data from satellites, UAVs and spectroradiometers for presicion agriculture Recent advances in remote sensing technology have allowed the efficient use of several types of sensors in order to accomplish the implementation of precision agriculture applications. In particular, such applications have been used in viticulture aiming to improve the management of the upcoming harvest. The present study focuses on the analysis, regression and evaluation of
... rspectral and multispectral data collected for aplications in precision viticulture. Data collection was planed for 5 study areas (Nemea, Aminteo, Naousa, Atalanti, Trapeza) where vineyards are cultivated, and was dated just before the harvest period (July-August) during 3 campaigns (2012)(2013)(2014). Three different types of data were processed including, ground radiance data using a field spectrometer (GER 1500, Spectra Vista Corporation, 350-1050nm, 512 spectral bands), WorldView-2 satellite data (DigitalGlobe, Inc. USA), and hyperspectral camera data (Micro-Hyperspec™ VNIR A1 Series,Headwall photonics, Inc. USA). Spectroradiometer ground data, for each study area were radiometrically checked and classified in correspondence with irradiance data to enable the proper calculation of reflectance values. Using reflectance values, spectral signatures for vine varieties were calculated and analyzed to exctract information about spectral behavior for each vine variety. The process of WorldView-2 satellite images included radiometric correction, atmospheric correction and spectral signatures calculation by sampling. Hyperspectral camera data were collected using an UAV (Unamanned Aerial vehicle) and were radiometrically and geometrically processed to calculate spectral signatures.