GEOSTATISTICAL MODELLING OF SOIL SPATIAL VARIABILITY BY FUSING DRONE-BASED MULTISPECTRAL DATA, GROUND-BASED HYPERSPECTRAL AND SAMPLE DATA WITH CHANGE OF SUPPORT

Traditional soil characterization methods are time consuming, laborious and invasive and do not allow for long-term repeatability of measurements.The overall aim of this paper was to assess and model spatial variability of the soil in an olive grove in south Italy Dishwasher ComfortLift End Stopper by using data from two sensors of different types:

There are more than 150,000 new cases of coccidioidomycosis annually in the United States and the incidence is increasing.Although the majority of cases result in mild or no symptoms, pregnancy is a risk factor for complicated 143 and disseminated disease.Overall, coccidioidomycosis is rare in pregnancy and there have been few reports in the litera

Bell state measurement is vital to quantum information technology.Conventional linear optical elements, however, cannot fully distinguish all polarization Bell states without assisting of additional degrees of freedom.Leveraging on a pair of binary-pixel metasurfaces, we demonstrate direct measurement of all four polarization Bell 143 states.Each m

The rapid development of French Fry Scoops modern technology has created many complex datasets in non-linear spaces, while most of the statistical hypothesis tests are only available in Euclidean or Hilbert spaces.To properly analyze the data with more complicated structures, efforts have been made to solve the fundamental test problems in more gen