The “South Tobacco Creek Watershed - DEM” dataset is a digital elevation model grid generated from ASCII files. The elevation values are expressed in metres with respect to mean sea level (MSL).

LiDAR data was collected using LSI's proprietary Helix LiDAR system - Novatel GPS and SPANS inertial unit, coupled to a Riegl Q560 digital waveform ranging laser and mounted in a Cessna 185 aircraft. LiDAR was collected at 600m AGL, and a ground speed of 160km/h. Original data was in an ASCII XYZ coordinate format.

The “South Tobacco Creek Watershed – 10 cm Contours” dataset is a linear representation of the LiDAR DEM data set to the closest 0.1 meters.

The “Agricultural Land Practices Groups of the Canadian Prairies” dataset lays out the areas of the 13 Land Practices Groups of the agricultural portions of the Canadian Prairies. They are represented by vector polygons amalgamated (dissolved) from the Version 1.9 SLC polygons sharing common water resources, land use and farming practices as developed in the “Agricultural Land Practices Groups of the Canadian Prairies by SLC Polygon” of this series. The dataset is based upon selected attributes from the Soil Landscapes of Canada (SLC) and the 1996 Census of Agriculture. Typical attributes including: land in pasture, land in summerfallow, crop mixture, farm size and the level of chemical and fertilizer inputs.

Les ensembles de données de la série « Paysages agricoles des Prairies (PAP)Les ensembles de données de la série « Paysages agricoles des Prairiesqui présentent des ressources en sols et en eau, des utilisations des terres et des pratiques agricoles similaires. Ces zones sont représentées sous forme de polygones vectoriels. Sur la base d'attributs choisis tirés des Pédo-paysages du Canada (PPC) et du Recensement de l'agriculture de 1996, les Prairies ont été divisées en 13 (treize) classes ou groupes de pratiques agricoles, lesquels sont par ailleurs regroupés en cinq (5) grands groupes de pratiques agricoles. Les attributs typiquement utilisés pour définir les groupes de pratiques agricoles sont les suivants : proportion de pâturage, proportion de jachère, diversité des cultures, taille des fermes, et niveau d'intrants (produits chimiques et engrais). Les cinq (5) grands groupes ont été conçus de manière à ce que puissent être mieux saisies les relations entre les groupes. Pour plus d'information, consulter : https://ouvert.canada.ca/data/fr/dataset/0b2303be-ef05-49a8-8082-44a3eabcfa57

Les ensembles de données de la série « Paysages agricoles des Prairies (PAP)Les ensembles de données de la série « Paysages agricoles des Prairiesqui présentent des ressources en sols et en eau, des utilisations des terres et des pratiques agricoles similaires. Ces zones sont représentées sous forme de polygones vectoriels. Sur la base d'attributs choisis tirés des Pédo-paysages du Canada (PPC) et du Recensement de l'agriculture de 1996, les Prairies ont été divisées en 13 (treize) classes ou groupes de pratiques agricoles, lesquels sont par ailleurs regroupés en cinq (5) grands groupes de pratiques agricoles. Les attributs typiquement utilisés pour définir les groupes de pratiques agricoles sont les suivants : proportion de pâturage, proportion de jachère, diversité des cultures, taille des fermes, et niveau d'intrants (produits chimiques et engrais). Les cinq (5) grands groupes ont été conçus de manière à ce que puissent être mieux saisies les relations entre les groupes. Pour plus d'information, consulter : https://ouvert.canada.ca/data/fr/dataset/0b2303be-ef05-49a8-8082-44a3eabcfa57

As part of measure 2.6 of the 2013-2020 Action Plan on Climate Change, and in the wake of the project “[Characterization of the banks of the fluvial part of the St. Lawrence and analysis of the evolution of hydro-climatic factors influencing the hazards of erosion and flooding] (https://www.donneesquebec.ca/recherche/dataset/caracterisation-des-berges-et-analyse-de-l-evolution-des-facteurs-hydro-climatiques)” ()”, the MELCCFP mandated the team of the **Laboratoire de Géomorphology Terre-Mer du Département de Géomorphology de l'Université Laval ** in order to conduct a study on the mobility issues of banks in the fluvial section of the St. Lawrence. The selection of the six issues, spread over ten sites of interest, was based on the previous shoreline characterization project, which made it possible to locate significant problems related to shoreline mobility. The six issues addressed correspond to: 1. The archipelagos of the fluvial St. Lawrence and the seaway (sites of Île Marie, Île de Grace and Île des Barques) 2. Land use planning and delta formation in Lake Saint-Pierre (Yamachiche Point site) 3. The degradation of the sloping walls between Sainte-Marthe-du-Cap and Champlain (Pointe-au-Vent and Champlain sites) 4. The rapid dynamics of high soft cliffs (Cap Lévrard site) 5. The effects of docks on sedimentary transit in the fluvial estuary (Portneuf and Pointe-Platon sites) 6. The management of urban beaches in Quebec (Plage-Jacques-Cartier site, Anse-Tibbits site and Beauport Bay Beach) This new study has thus made it possible to provide scientific knowledge adapted to the specificities of this densely populated sector of the river, in order to (1) better understand the hydrogeomorphological trajectory of this major river system, and (2) to guide management practices towards better respect of its mobility space and the integrity of its ecosystems. The development of a multi-scale monitoring approach, combining geomorphological and geohistorical components, has proven to be very effective in documenting the implications of the highly artificial nature of the fluvial St. Lawrence and in better defining the influence of natural processes. The project was made possible thanks to the creation of a vast geospatial database, collected and processed by the research team. In an approach of sharing and dissemination, the team makes available all the deliverables and geospatial data* produced during this study, in particular: A complete report detailing the context of the study, the methodology, the results in the form of six abundantly illustrated Mobility-Trajectory sheets, as well as a summary accompanied by a discussion on the impacts of land use planning along the fluvial St. Self-supported version of the six Mobility-Trajectory portrait sheets. Geospatial data associated with the historical mapping of coastline features (CTs) and their migration rates, as well as products derived from drone imagery, such as numerical surface models (MNS) and orthomosaics. *Higher spatial and temporal resolution data are available upon request.**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).**