__The link: * Access the data directory* is available in the section*Dataset description sheets; Additional information*__. Hydrographic derivatives from LiDAR (Light Detection and Ranging) were produced as part of the provincial LiDAR sensor data acquisition project. These products provide information on the geographical position of water flow beds on the territory as well as their nature (permanent or intermittent watercourse). These layers represent the path that water should take depending on the topography. It is therefore a potential flow bed that does not take into account the nature of the surface deposit or underground pipes. These vector layers are preliminary and do not replace reference hydrographic layers such as the Quebec Hydrographic Network Geobase (GRHQ). They are primarily used to support forest operations. These layers will also be improved over the coming years thanks to a collective effort by two ministries, namely the Ministry of Natural Resources and Forests (MRNF) and the Ministry of the Environment, the Fight against Climate Change, and Wildlife and Parks (MELCCFP). Data on potential flow beds are distributed, as of March 2022, by water drainage unit (UDH), a division that respects the natural boundaries of the watershed. This division uses the same codes and approximately the same spatial limits of the UDHs of the GRHQ. Data for each UDH is available in Geodatabase (GDB) or GeoPackage (GPKG) format.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

High-resolution relief data produced from LiDAR surveys and limited to crop plots are particularly useful in the agricultural sector since they make it possible to model surface drainage in order to identify drainage problems or the risks of soil erosion. Agronomic interpretation will take advantage of this information not only in the form of the numerical terrain model and the shading, but also with the level curves, flow paths and basins located inside the cultivated plots, as delimited by the database of declared agricultural plots and productions (BDPPAD) of the Financière Agricole du Québec (FADQ). Level curves of 1 m covering the entire treated territory excluding cultivated plots (agricultural, forest, urban, etc.) are also available. These new data are the result of a collaboration between the MRNF and the MAPAQ, and they are offered thanks to the open valorization of data initially derived from LiDAR to the MRNF Forest Inventory Directorate (DIF). We hope that this data will support better soil and water management interventions, in order to mitigate the consequences of climate change, and to promote sustainable agriculture.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**