Journal
PRECISION AGRICULTURE
Volume 22, Issue 2, Pages 586-607Publisher
SPRINGER
DOI: 10.1007/s11119-020-09781-9
Keywords
Hyperspectral data; Support change; Multi-collocated block cokriging; Factorial cokriging
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Funding
- project M2Q - National Operational Program for Research and Competitiveness (PON R&C) 2007-2013, through the European Regional Development Fund (ERDF) [PON03PE_00180_1]
- national resource (Revolving Fund-Cohesion Action Plan MIUR) [738/05.03.2014]
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The paper presents a geostatistical approach to combining multi-source data with different support for field delineation into homogeneous soil zones, emphasizing the critical influence of spatial scale on site-specific management. The results highlight the impact of spatial scale on site-specific management.
The paper describes a geostatistical approach for combining multi-source data with different support for field delineation into homogeneous soil zones. It takes into account change of support explicitly given the critical influence of spatial resolution on the statistical characteristics of estimates. Geophysical and hyperspectral data were used in combination with soil chemical properties measured in the 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. The results emphasize the impact of spatial scale on site-specific management.
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