The paper describes a geostatistical approach for combining multi-source data with different support for field delineation into homogeneous soil zones. Geophysical and spectrometric sensor data were used with soil chemical properties measured in laboratory on 50 samples collected in a field cropped with Tomato (Solanum lycopersicum, L. cv San Marzano). The approach consisted in performing Gaussian anamorphosis with support correction, multi-collocated block cokriging and factorial block cokriging to jointly analyse all data. Two regionalised factors at different spatial scales were retained to split the field into homogeneous zones for site specific management.
A geophysical and spectrometric sensor data fusion approach for homogeneous within-field zone delineation
G Buttafuoco;M Conforti;
2019
Abstract
The paper describes a geostatistical approach for combining multi-source data with different support for field delineation into homogeneous soil zones. Geophysical and spectrometric sensor data were used with soil chemical properties measured in laboratory on 50 samples collected in a field cropped with Tomato (Solanum lycopersicum, L. cv San Marzano). The approach consisted in performing Gaussian anamorphosis with support correction, multi-collocated block cokriging and factorial block cokriging to jointly analyse all data. Two regionalised factors at different spatial scales were retained to split the field into homogeneous zones for site specific management.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
