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Dataset results
2 results for “SensRes”
SensRes dataset for downscaling soil maps
<p>This dataset contains soil information and sensor data from agricultural fields in Denmark, Lithuania, Northern Ireland, the Netherlands, and Turkey to downscale coarse-resolution maps to high resolution in the SensRes project (EJP SOIL).</p> <p> It includes 1455 soil samples with data on soil organic carbon and soil texture fractions (clay, silt, and sand). For each sampling site, the dataset also contains rasters of Sentinel-2 bare soil images, aerial images (RGB), and maps from Electromagnetic Induction and Gamma sensors. The soil data is provided in .txt file format, while the sensor data is available in .tif format. There are also shapefiles from each field in .shp format. </p> <p>The SensRes project developed a framework for downscaling soil maps, which was published as an R package (<a href="https://github.com/anbm-dk/soilscaler/tree/main">https://github.com/anbm-dk/soilscaler/tree/main</a>), and this dataset contains the required local inputs to apply the downscaling process. Part of the soil information present in this dataset has also been used in the STEROPES EJP SOIL project. </p>
EJP SensRes bi-directional reflectance of soils
<div> <p><span><span>Repository of the </span></span><span><span>d</span></span><span><span>atabase of bi-directional soil spectral </span></span><span><span>reflectance </span></span><span><span>measurements and </span></span><span><span>the </span></span><span><span>corresponding </span><span>physico</span></span><span><span>-</span></span><span><span>chemical variables for soil carbon estimation. </span></span></p> </div> <div> <p><span><span>Soil samples from the chemistry laboratory </span></span><span><span>were</span></span><span><span> prepared for the spectral measurements</span></span><span><span> that were carried ou</span></span><span><span>t</span></span><span><span> using a </span></span><span><span>full-range </span></span><span><span>PSR-3500 </span></span><span><span>spectrometer</span></span><span><span> in the range 350-2500 nm</span></span><span><span>.</span></span> <span><span>The spectral sensor was mounted on a robotic arm to perform a regular </span></span><span><span>sampling strategy involving multiple</span></span><span><span> viewing</span></span><span><span> angles and different soil water contents</span></span><span><span>. </span></span><span> </span></p> </div> <div> <p><span><span>Three main datasets were </span></span><span><span>compiled,</span></span><span><span> and they </span></span><span><span>are</span></span><span><span> summarized in Table 1 in the related .doc document</span></span><span><span>. </span></span></p> </div>
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