Browsing by Author "Wetterlind, Johanna"

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    Comparing LUCAS Soil and national systems: Towards a harmonized European Soil monitoring network
    (Elsevier, 2024) Froger, Claire; Tondini, Elena ; Arrouays, Dominique; Oorts, Katrien; Poeplau, Christopher; Wetterlind, Johanna; Putku, Elsa; Saby, Nicolas P.A.; Fantappiè, Maria; Styc, Quentin; Chenu, Claire; Salomez, Joost; Callewaert, Seth; Vanwindekens, Frédéric M.; Huyghebaert, Bruno; Herinckx, Julien; Heilek, Stefan; Harbo, Laura Sofie; De Carvalho Gomes, Lucas; Lázaro-López, Alberto; Rodriguez, Jose Antonio; Pindral, Sylwia; Smreczak, Bożena; Benő, András; Bakacsi, Zsofia; Teuling, Kees; van Egmond, Fenny; Hutár, Vladimír; Pálka, Boris; Abrahám, Dominik; Bispo, Antonio
    A recent assessment states that 60–70% of soils in Europe are considered degraded. Protecting such valuable resource require knowledge on soil status through monitoring systems. In Europe, different types of monitoring networks currently exist in parallel. Many EU Member states (MS) developed their own national soil information monitoring system (N-SIMS), some being in place for decades. In parallel in 2009, the European Commission extended the periodic Land Use/Land Cover Area Frame Survey (LUCAS) led by EUROSTAT to sample and analyse the main properties of topsoil in EU in order to develop a homogeneous dataset for EU. Both sources of information are needed to support European policies on soil health evaluation. However, a question remains whether the assessment obtained by using soil properties from both monitoring programs (N-SIMS and LUCAS Soil) are comparable, and what could be the limitations of using either one dataset or the other. Conducted in the context of European Joint Programme (EJP) SOIL, this study shows the results of a comparison between N-SIMS and LUCAS Soil programs among 12 different EU member states including BE, DE, DK, EE, ES, FR, DE, HU, IT, NL, PL, SE and SK. The comparison was done on: (i) the sampling strategies including site densities, land cover and soil type distribution; (ii) the statistical distribution of three soil properties (organic carbon, pH and clay content); (iii) two potential indicators of soil quality (i.e. OC/Clay ratio and pH classes). The results underlined substantial differences in soil properties statistical distributions between N-SIMS and LUCAS Soil in many member states, particularly for woodland and grassland soils, affecting the evaluation of soil health using indicators. Such differences might be explained by both the monitoring strategy and sampling or analytical protocols exposing the potential effect of data source on European and national policies. The results demonstrate the need to work towards data harmonization and in the light of the Soil Monitoring Law, to carefully design the future of soil monitoring in Europe taking into account both LUCAS Soil and N-SIMS considering the significant impact of the monitoring strategies and protocols on soil health indicators.
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    Influence of Soil Texture on the Estimation of Soil Organic Carbon From Sentinel‐2 Temporal Mosaics at 34 European Sites
    (Wiley, 2025) Wetterlind, Johanna; Simmler, Michael; Castaldi, Fabio; Borůvka, Luboš; Gabriel, José L.; Gomes, Lucas Carvalho; Khosravi, Vahid; Kivrak, C.; Koparan, Muhammed Halil; Lázaro-López, Alberto; Łopatka, Artur; Liebisch, Frank; Rodriguez, Jose Antonio; Savaş, A. Ö.; Stenberg, Bo; Tunçay, T.; Vinci, I.; Volungevičius, Jonas; Žyledis, Renaldas; Vaudour, Emmanuelle
    Multispectral imaging satellites such as Sentinel‐2 are considered a possible tool to assist in the mapping of soil organic carbon (SOC) using images of bare soil. However, the reported results are variable. The measured reflectance of the soil surface is not only related to SOC but also to several other environmental and edaphic factors. Soil texture is one such factor that strongly affects soil reflectance. Depending on the spatial correlation with SOC, the influence of soil texture may improve or hinder the estimation of SOC from spectral data. This study aimed to investigate these influences using local models at 34 sites in different pedo‐climatic zones across 10 European countries. The study sites were individual agricultural fields or a few fields in close proximity. For each site, local models to predict SOC and the clay particle size fraction were developed using the Sentinel‐2 temporal mosaics of bare soil images. Overall, predicting SOC and clay was difficult, and prediction performances with a ratio of performance to deviation (RPD) > 1.5 were observed at 8 and 12 of the 34 sites for SOC and clay, respectively. A general relationship between SOC prediction performance and the correlation of SOC and clay in soil was evident but explained only a small part of the large variability we observed in SOC prediction performance across the sites. Adding information on soil texture as additional predictors improved SOC prediction on average, but the additional benefit varied strongly between the sites. The average relative importance of the different Sentinel‐2 bands in the SOC and clay models indicated that spectral information in the red and far‐red regions of the visible spectrum was more important for SOC prediction than for clay prediction. The opposite was true for the region around 2200 nm, which was more important in the clay models.