Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | IMPACT OF DIFFERENT VARIOGRAM MODELS OF TOTAL ORGANIC CARBON ON SAMPLING SCHEME OPTIMIZATION AND POTENTIALITY OF COVARIATE INFORMATION IN THE PRECISION AGRICULTURE FRAMEWORK |
| Abstract | Assessment at field scale of soil organic carbon (TOC) is of primary interest for agronomic management, particularly, in the precision agriculture framework. The knowledge about the spatial distribution of TOC is invaluable to implement strategies for improving the crop yield. However, the assessment of TOC spatial distribution requires the collection and the analysis of a large number of samples that is a costly and timeconsuming activity. In the present work, a strategy is proposed to optimize a sampling scheme of the considered soil property by means of an indirect auxiliary variable coming from the proximal geophysical sensing survey (GPR data). This variable has a greater spatial continuity than the soil organic carbon, then can be straightforwardly modelled in the geostatistical fashion. This allows to apply the spatial simulated annealing as an efficient mean for reducing optimally the sampling scheme. In addition, two different variogram models are derived by an automatic method. Such models are compared for assessing i) which is more suited as a descriptor of the indirect variable spatial behaviour and ii) allows the efficient reduction of the sampling scheme discarding all the redundant sampling points and saving those truly informative. |
| Source | geoENV2020 - 13TH INTERNATIONAL CONFERENCE ON GEOSTATISTICS FOR ENVIRONMENTAL APPLICATIONS, Parma (ITALY), 18/06/2021 |
| Keywords | VARIOGRAM MODELSCOVARIATE INFORMATIONSOIL ORGANIC CARBONSAMPLING OPTIMIZATIONPRECISION AGRICULTURE |
| Year | 2021 |
| Type | Abstract in atti di convegno |
| Authors | Giuseppe Pappagallo (1)* - Emanuele Barca (1) - Daniela De Benedetto (2) - Anna Maria Stellacci (3) |
| Text | 462256 2021 VARIOGRAM MODELS COVARIATE INFORMATION SOIL ORGANIC CARBON SAMPLING OPTIMIZATION PRECISION AGRICULTURE IMPACT OF DIFFERENT VARIOGRAM MODELS OF TOTAL ORGANIC CARBON ON SAMPLING SCHEME OPTIMIZATION AND POTENTIALITY OF COVARIATE INFORMATION IN THE PRECISION AGRICULTURE FRAMEWORK Giuseppe Pappagallo 1 Emanuele Barca 1 Daniela De Benedetto 2 Anna Maria Stellacci 3 National Research Council cnr , Water Research Institute irsa 1 Council for Agricultural Research and Economics crea , Research Centre for Agriculture and Environment crea aa 2 University of Bari, Department of Soil, Plant and Food Sciences di.s.s.p.a. 3 979 12 20341 59 2 Published version https //hdl.handle.net/1889/4373 geoENV2020 13TH INTERNATIONAL CONFERENCE ON GEOSTATISTICS FOR ENVIRONMENTAL APPLICATIONS Parma ITALY 18/06/2021 Internazionale Su invito Assessment at field scale of soil organic carbon TOC is of primary interest for agronomic management, particularly, in the precision agriculture framework. The knowledge about the spatial distribution of TOC is invaluable to implement strategies for improving the crop yield. However, the assessment of TOC spatial distribution requires the collection and the analysis of a large number of samples that is a costly and timeconsuming activity. In the present work, a strategy is proposed to optimize a sampling scheme of the considered soil property by means of an indirect auxiliary variable coming from the proximal geophysical sensing survey GPR data . This variable has a greater spatial continuity than the soil organic carbon, then can be straightforwardly modelled in the geostatistical fashion. This allows to apply the spatial simulated annealing as an efficient mean for reducing optimally the sampling scheme. In addition, two different variogram models are derived by an automatic method. Such models are compared for assessing i which is more suited as a descriptor of the indirect variable spatial behaviour and ii allows the efficient reduction of the sampling scheme discarding all the redundant sampling points and saving those truly informative. IMPACT OF DIFFERENT VARIOGRAM MODELS OF TOTAL ORGANIC CARBON ON SAMPLING SCHEME OPTIMIZATION AND POTENTIALITY OF COVARIATE INFORMATION Abstract ProceedingsOfGeoENV2020_PappagalloG BarcaE.pdf Abstract in atti di convegno emanuele.barca BARCA EMANUELE giuseppe.pappagallo PAPPAGALLO GIUSEPPE |