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7 results for “cookbook”
SERENA EJP Soil: Bundles' cookbook exemplary datasets
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p>
SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>The dataset (5m resolution) was mainly produced to test the methodology of the SERENA soil erosion cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA soil erosion cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion. For Belgium, the application was carried out at regional scale for the Flanders region. To create the soil erosion map, RULSE modelling was done according to the SERENA cookbook using several publicly available datasets. The following auxiliary data was used: K-Factor, Land-Cover Map, Long-term 30 yr averaged monthly rainfall, <br>LS-Factor given by Panagos et al. (2015). The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil erosion cookbook of SERENA dealing with the creation of an erosion map. It has limited use as an erosion map for Flanders because a more detailed and accurate map exists for Flanders based on regional covariates.</p> <p>This dataset is originally hosted at DOV (<a href="https://www.dov.vlaanderen.be/">https://www.dov.vlaanderen.be/</a>), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: <a href="https://www.dov.vlaanderen.be/geonetwork/srv/dut/catalog.search#/metadata/37337449-8bee-420e-9943-81f074c4cbe8">SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook</a></p> <p>The DOV services:</p> <ul> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wms?SERVICE=WMS&version=1.3.0&request=GetMap">WMS </a>( OGC:WMS-1.3.0-http-get-map ) </li> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wcs?SERVICE=WCS&version=2.0.1&request=GetCoverage">WCS </a>( OGC:WCS )</li> </ul>
SERENA EJPSOIL BE Flanders soil sealing cookbook
<div> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national and European scales.<br><br>The data was prepared according to the Level 2 methodology of the SERENA soil sealing cookbook. For Belgium, the application was carried out at the regional scale for the Flanders region. <br> <br>The automatically generated yearly soil sealing maps (1 m resolution GeoTIFF rasters) combine “known” sealing from administrative databases (buildings and transport infrastructure) with modelled sealing based on artificial intelligence. Administrative databases do not (adequately) cover parking lots, private driveways and garden terraces, which are a substantial part of the sealed area in Flanders. Hence, a machine learning model was built for deriving this remaining sealing from aerial imagery. For this purpose, an assessor manually labeled the sealed parts on a subset of the images. Based on this training set, a convolutional neural network model was used to produce a sealing probability map, which was converted to a binary modelled sealing map. Finally, a continuity correction was applied to ensure a temporally consistent result across the yearly maps. <br><br>The objective of the SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The selected indicator was the degree of soil sealing. By evaluating this degree at two moments in time, the change in soil sealing can be determined. <br> <br>The following data were used: </p> </div> <div> <ul> <li> <p><a href="https://www.vlaanderen.be/digitaal-vlaanderen/onze-oplossingen/basiskaart-vlaanderen-grb" target="_blank" rel="noopener">Large-scale Reference Database</a> (Grootschalig Referentiebestand or Basiskaart), the digital topographic reference map for Flanders (vector) </p> </li> </ul> </div> <div> <ul> <li> <p><a href="https://www.vlaanderen.be/datavindplaats/catalogus/orthofotomozaiek-middenschalig-winteropnamen-0" target="_blank" rel="noopener">Medium-scale annual winter aerial images</a> of Flanders (15 or 25 cm raster resolution)</p> </li> </ul> <p><br>This dataset is originally hosted at Geopunt (<a href="https://www.geopunt.be/" target="_blank" rel="noopener">www.geopunt.be</a>). For the most up-to-date version of the dataset, please access the data from the <a href="https://www.vlaanderen.be/datavindplaats/catalogus/jaarlijkse-bodemafdekkingskaart-jaarbak-1-m-resolutie-2021" target="_blank" rel="noopener">Geopunt repository</a>.</p> </div>
Extended Cookbook Data
<p>Extended Cookbook Data used to support the paper <a href="https://doi.org/10.1145/3474624.3474627">https://doi.org/10.1145/3474624.3474627</a></p> <p> </p>
Extended Cookbook Data Extraction and Recommendations
<p>Extended Cookbook Data Extraction and Recommendations</p>
SERENA EJPSOIL BE Flanders SOCLOSS SOC 0-20cm cookbook
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>This SERENA dataset (100 m resolution) of soil orgnanic carbon concentration (0-20 cm soil layer) for Flanders was mainly produced to test the methodology of the SERENA SOC LOSS cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA SOC LOSS cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil organic carbon concentration was used as an indicator for soil organic carbon loss (ST). The map was based on digital soil mapping according to the method used in the EJP SOIL project WP6: Digital soil mapping approach with random forest using ISRIC workflow seedling. To create the soil organic carbon concentration map, we used soil organic carbon data of the regional <a href="https://omgeving.vlaanderen.be/nl/klimaat-en-milieu/bodem-en-ondergrond/vlaamse-koolstofmonitoring-hoeveel-koolstof-zit-er-in-de-bodem">soil organic carbon monitoring network Cmon</a> in Flanders (0-10 and 10-30 cm soil layer) from the period 2021-2024. The soil organic carbon concentration of the 0-20 cm was derived from the 0-10 and 10-30 cm Cmon data. The following auxiliary data was used: Digitale bodemkaart van het Vlaams Gewest: bodemtypes; Regional climate data; Landgebruik - Vlaanderen - toestand 2022; Tertiair geologische kaart (1/50.000); Bodembedekkingskaart (BBK), 1m resolutie, opname 2021; WRB Soil Units 40k: Bodemkaart van het Vlaamse Gewest volgens het internationale bodemclassificatiesysteem World Reference Base op schaal 1:40.000; Digitaal Hoogtemodel Vlaanderen II, DSM, raster, 1 m. The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil organic carbon loss cookbook of SERENA dealing with the creation of a SOC concentration map. It can have limited use as an interim SOC concentration map for Flanders until a better map becomes available using an optimised methodology and/or new data from the regional soil organic carbon monitoring network that was not yet available when this map was created.</p> <p>This dataset is originally hosted at DOV (<a href="https://www.dov.vlaanderen.be/">https://www.dov.vlaanderen.be/</a>), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: <a href="https://www.dov.vlaanderen.be/geonetwork/srv/dut/catalog.search#/metadata/37337449-8bee-420e-9943-81f074c4cbe8">SERENA EJPSOIL BE Flanders SOC 0-20cm cookbook.</a></p> <p>The DOV services:</p> <ul> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wms?SERVICE=WMS&version=1.3.0&request=GetMap">WMS </a>( OGC:WMS-1.3.0-http-get-map ) </li> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wcs?SERVICE=WCS&version=2.0.1&request=GetCoverage">WCS </a>( OGC:WCS )</li> </ul>
A cookbook of DNase Hi-C
GEO Series GSE160484. Homo sapiens. 32 samples. Type: Other.
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