Regional prediction of soil organic carbon content over temperate croplands using different multiscale measurements by hierarchical modelling
| Autor: | Bel, Liliane, Tressou, Jessica, Vaudour, Emmanuelle, zaouche, Mounia |
|---|---|
| Přispěvatelé: | Mathématiques et Informatique Appliquées (MIA-Paris), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Université Paris-Saclay, AgroParisTech-Institut National de la Recherche Agronomique (INRA) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Seventh International Conference on Agricultural Statistics (ICAS VII) Seventh International Conference on Agricultural Statistics (ICAS VII), Oct 2016, Rome, Italy Seventh International Conference on Agricultural Statistics (ICAS VII), Oct 2016, Rome, France |
| Popis: | Spatial monitoring of soil quality especially in terms of soil organic carbon (SOC) content for the purpose of evaluating the effects of C-stocking practices at different spatial scales, is critical for both stakeholders and public authorities. Various studies have recently demonstrated the usefulness of hyperspectral satellite images for faster and cheaper prediction of SOC compared to standard soil chemical analyses. In this study we combine both sources of information by means of hierarchical modelling accounting for different spatial scales to provide an accurate map of SOC over a broad regional scale in a peri-urban region. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|