Use of Geostatistics for Multi-Scale Spatial Modeling of Xylella fastidiosa subsp. pauca (Xfp) Infection with Unmanned Aerial Vehicle Image

In recent years, the use of Unmanned Aerial Vehicles (UAVs) has been spreading widely, as in plant pest control. The collection huge amounts spatial data raises various issues including that scale. Data from UAVs generally explore multiple scales, so problem arises determining which one(s) may be relevant for a given application. objective this work was to investigate potential UAV images fight against Xylella olive trees. were multiband image collected on one date an grove affected by Xylella. A multivariate geostatistics approach applied, consisting firstly estimating linear coregionalization model detect scales data; and secondly, using factor kriging extract sets scale-dependent regionalized factors. One retained each two selected scales. short-range could used controlling bacterium infection while longer-range partitioning field into three management zones. shown control, but many problems still need solved automatic detection infected plants early stages.