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6 results for “worldcereal”

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zenodo44/100

Global Crop Type Validation Data Set for ESA WorldCereal System

<p>This dataset was created by using a new IIASA tool, called &ldquo;Street Imagery validation&rdquo; (<a href="https://svweb.cloud.geo-wiki.org/">https://svweb.cloud.geo-wiki.org/</a>) where users could check street level images (e.g., Google Street Level images, Mapillary etc.) and identify the crop type where it is possible. The advantage of this tool is that there are plenty of georeferenced images with dates, going back in time. The disadvantage is that users need to check plenty of images where only few will clearly show cropland fields that are mature enough to be identified. To make the data collection more efficient, we provided our experts with preliminary maps of points in agricultural areas where street level images are available for the year 2021. Then, the experts checked those locations in an opportunistic way. The dataset is completely independent from all the existing maps and the reference datasets.</p> <p>There are 3 main data records uploaded:</p> <ol> <li>sv_croptype_poly.zip &ndash; an archive with a shapefile containing all the collected polygons with crop type information. Not all the polygons correspond to actual field boundaries.</li> <li>sv_croptype_validations.csv &ndash; a table with crop type observations with centroid coordinates in WGS84</li> <li>sv_worldcereal_validation.csv &ndash; a table with a subset of crop type observations used in validation of WorldCereal crop type maps for 2021.</li> </ol> <p>Fields:</p> <ul> <li>&quot;id&quot; &ndash; unique observation identifier;</li> <li>&quot;imgSource&quot; &ndash; source of imagery used for visual inspection;</li> <li>&quot;imgLoc&quot; &ndash; image location;</li> <li>&quot;svImgDate&quot; &ndash; image date;</li> <li>&quot;imageIdKey&quot; &ndash; image unique identifier;</li> <li>&quot;submitedAt&quot; &ndash; date of submission of crop type observation;</li> <li>&quot;cropType&quot; &nbsp;- crop type observation;</li> <li>&quot;irrType&quot; &ndash; irrigation type;</li> <li>&quot;x&quot;, &quot;y&quot; &ndash; centroids of submitted polygons in WGS84.</li> </ul>

opencc-by-4.0Apr 2023View details →
zenodo44/100

ESA WorldCereal 10 m 2021 v100

<p><strong>ESA WorldCereal 2021 products v100</strong></p> <p>The European Space Agency (ESA) WorldCereal 10m 2021 product suite consist of global-scale&nbsp;annual and seasonal crop maps&nbsp;and (where applicable) their related confidence. Every file in this repository&nbsp;contains&nbsp;up to 106 agro-ecological zone&nbsp;(AEZ) products&nbsp;which were all processed with respect to <a href="https://www.tandfonline.com/doi/full/10.1080/15481603.2022.2079273">their own regional&nbsp;seasonality</a>&nbsp;and should be considered as independent products.</p> <p>Naming convention of the ZIP files is as follows:</p> <p><strong>WorldCereal_{year}_{season}_{product}_{classification|confidence}.zip</strong></p> <p>The actual AEZ-based GeoTIFF files inside each ZIP are named according to following convention:</p> <p><strong>{AEZ_id}_{season}_{product}_{startdate}_{enddate}_{classification|confidence}.tif</strong></p> <p>The seasons are defined in Table 1.&nbsp;Note that <strong>cereals</strong>&nbsp;as described by WorldCereal include wheat, barley and rye, which belong to the <em>Triticeae</em> tribe. Next to the actual WorldCereal products, this repository contains the files "<strong>WorldCereal_AEZ.geojson</strong>" that contains the AEZ description and outline, as well as "<strong>QGIS_stylefiles.zip</strong>"<strong>&nbsp;</strong>which contains QGIS style files (.qml) for product visualization purposes.</p> <table> <tbody> <tr> <th>Season</th> <th>Description</th> </tr> </tbody> <tbody> <tr> <td>tc-annual</td> <td>A one-year cycle being defined in a region by the end of the last considered growing season</td> </tr> <tr> <td>tc-wintercereals</td> <td>The main cereals season defined in a region</td> </tr> <tr> <td>tc-springcereals</td> <td>Optional springcereals season, only defined in certain AEZ</td> </tr> <tr> <td>tc-maize-main</td> <td>The main maize season defined in a region</td> </tr> <tr> <td>tc-maize-second</td> <td>Optional second maize season, only defined in certain AEZ.</td> </tr> </tbody> </table> <p><strong>Note</strong>:&nbsp;AEZs for which no irrigation product is available&nbsp;were not processed because of the unavailability&nbsp;of thermal Landsat data.</p> <p>A scientific paper describing the WorldCereal products and the methodology behind them is available through the link below:</p> <p><a href="https://essd.copernicus.org/articles/15/5491/2023/essd-15-5491-2023.html" target="_blank" rel="noopener">Van Tricht, K., Degerickx, J., Gilliams, S., Zanaga, D., Battude, M., Grosu, A., Brombacher, J., Lesiv, M., Bayas, J. C. L., Karanam, S., Fritz, S., Becker-Reshef, I., Franch, B., Moll&agrave;-Bononad, B., Boogaard, H., Pratihast, A. K., Koetz, B., and Szantoi, Z.: WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping, Earth Syst. Sci. Data, 15, 5491&ndash;5515, https://doi.org/10.5194/essd-15-5491-2023, 2023.</a></p> <p><em>This work was supported by the European Space Agency under contract N&deg;4000130569/20/I-NB.</em></p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

WorldCereal open global harmonized reference data repository (CC-BY-SA licensed data sets)

<p>Within the<strong> ESA funded</strong> WorldCereal project we have built an open harmonized reference data repository at global extent&nbsp;for model training or product validation&nbsp;in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then&nbsp;harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes&nbsp;(LC, CT, IRR, valtime and sampleID) that were added to the original data sets.</p> <p>This publication&nbsp;includes those harmonized&nbsp;data sets of which the original data set was&nbsp;published under the CC-BY-SA license or a license similar to CC-BY-SA. See document &quot;_In-situ-data-World-Cereal - license - CC-BY-SA.pdf&quot; for an overview of the original data sets.</p>

opencc-by-sa-4.0Dec 2022View details →
zenodo40/100

WorldCereal open global harmonized reference data repository (CC-BY licensed data sets)

<p>Within the <strong>ESA funded </strong>WorldCereal project we have built an open harmonized reference data repository at global extent&nbsp;for model training or product validation&nbsp;in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then&nbsp;harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes&nbsp;(LC, CT, IRR, valtime and sampleID) that were added to the original data sets.</p> <p>This publication&nbsp;includes those harmonized&nbsp;data sets of which the original data set was&nbsp;published under the CC-BY license or a license similar to CC-BY. See document &quot;_In-situ-data-World-Cereal - license - CC-BY.pdf&quot; for an overview of the original data sets.&nbsp; &nbsp;</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

WorldCereal open global harmonized reference data repository (CC-BY-NC licensed data sets)

<p>Within the <strong>ESA funded</strong> WorldCereal project we have built an open harmonized reference data repository at global extent&nbsp;for model training or product validation&nbsp;in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then&nbsp;harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes&nbsp;(LC, CT, IRR, valtime and sampleID) that were added to the original data sets.</p> <p>This publication&nbsp;includes those harmonized&nbsp;data sets of which the original data set was&nbsp;published under the CC-BY-NC license or a license similar to CC-BY-NC. See document &quot;_In-situ-data-World-Cereal - license - CC-BY-NC.pdf&quot; for an overview of the original data sets. Currently this publication only includes a few small data sets for Tanzania originating from a disease monitoring program of the International Maize and Wheat Improvement Center (CIMMYT). CIMMYT made more data available for&nbsp;countries like Kenya, Ethiopia, Rwanda and, Malawi. However due project contraints these data sets were not yet harmonized.</p>

opencc-by-nc-4.0Dec 2022View details →
zenodo36/100

Global reference data set for validating ESA WorldCereal temporary cropland extent

<p>IIASA team has created a new validation data set, which is completely independent from all other existing maps or reference data sets, and which is in line with the cropland definitions and mapping period of the WorldCereal products. To decide if this is an active cropland in each period, the experts looked at very high-resolution Google historical imagery and Google Street level images, Microsoft Bing images, ESRI imagery, Planet historical data, Sentinel-2 time series, and Modis NDVI time series. The experts were asked to label 5 by 5 Sentinel pixels (each pixel 10m by 10m) either as winter crops, or as summer crops, or as maize (if this was possible), or as active crops (where it was not possible to confirm a growing season, e.g. overlap between seasons was too big or crop fields were too small in size), or as no crops, or as not sure where was too little information available for 2021. There was additional question on irrigation system, either circle, or other irrigation, or rainfed, or not sure.&nbsp;&nbsp;</p> <p>Fields:</p> <p>&quot;rowid&quot; -unique row identifier</p> <p>&quot;submissionid&quot; &ndash; unique submission id, which consists of 25 single pixels (rows)</p> <p>&quot;timestamp&quot; &ndash; time stamp of each submission</p> <p>&quot;sampleid&quot; &ndash; unique sample site, which could have a few submission ids</p> <p>&quot;submission_itemid&quot; &ndash; unique single pixel submission id</p> <p>&quot;enhancement&quot; &ndash; unique legend identifier in the Geo-Wiki database</p> <p>&quot;question&quot; &ndash; question asked (either on crop presence or irrigation)</p> <p>&quot;answer&quot; &ndash; answer to a question asked</p> <p>&quot;sub_pixel_x&quot;,&quot;sub_pixel_y&quot; &ndash; centroids of a single pixel in WGS84</p>

opencc-by-4.0Apr 2023View details →

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