Forest roads (Congo Basin)

<p><strong>Description</strong></p> <p>Road development in the Congo Basin forest is continuously monitored from 2019 onwards in high spatial and temporal detail. A deep learning method is applied to 10 m scale Sentinel-1 and Sentinel-2 imagery for automated road detections on a monthly basis. This version presents 6 years of road development (57,363 km) from <strong>2019-2024</strong>.&nbsp;</p> <p>The data is composed of line features distributed in .shp and .geojson formats. The following attributes are stored for the line features:</p> <ul> <li>NetworkID: A unique ID for each connected road network.</li> <li>SegLenM: The length of the road segment (in meters).</li> <li>NetLenM: The length of the connected road network (in meters).</li> <li>Month: The road segment opening month.</li> <li>Year: The road segment opening year.</li> <li>MonthNum: The road segment opening month, depicted as a continuing count since the start of monitoring (e.g. 13 = January 2020). This attribute can be used for smooth and continuous temporal analyses or visualizations.</li> </ul> <p>&nbsp;</p> <p><strong>Additional information</strong></p> <ul> <li>More information about the forest road mapping project can be found at:&nbsp;<a href="https://wur.eu/forest-roads" target="_blank" rel="noopener">https://wur.eu/forest-roads</a></li> <li>Continuously updated road maps can be interactively viewed&nbsp; at: <a href="https://nrtwur.users.earthengine.app/view/forest-roads" target="_blank" rel="noopener">https://nrtwur.users.earthengine.app/view/forest-roads</a></li> <li>The dataset can be accessed in Google Earth Engine at: ee.FeatureCollection('<a href="https://code.earthengine.google.com/?asset=projects/wurnrt-loggingroads/assets/distribution/forestroads_afr_2019-01_2024-12" target="_blank" rel="noopener">projects/wurnrt-loggingroads/assets/distribution/forestroads_afr_2019-01_2024-12</a>')</li> <li>The scientific paper (Slagter et al., 2024) describing the methods to produce this dataset can be found at: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.rse.2024.114380" target="_blank" rel="noopener">https://doi.org/10.1016/j.rse.2024.114380</a></li> </ul> <p>&nbsp;</p> <p><strong>Citation</strong></p> <p>Please cite the following when referring to this dataset:</p> <div> <p><em>Slagter B., Fesenmyer K., Hethcoat M., Belair E., Ellis P., Kleinschroth F., Pe&ntilde;a-Claros M., Herold M., Reiche J. (2024). Monitoring road development in Congo Basin forests with multi-sensor satellite imagery and deep learning. Remote Sensing of Environment.</em></p> </div>