AndreaBozzo/ceres-open-data-index huggingface dataset:
Muskoka LiDAR DEM

This is the ground topography DEM dataset derived from the 2018, 2021, and 2023 LiDAR surveys which covers much of Muskoka. To add this service to your desktop GIS application use the following URL: https://maps.muskoka.on.ca/server/rest/services/DEM/Muskoka_LiDAR_DEM/ImageServer Vertical Datum: CGVD28:78 To download the Muskoka LiDAR datasets in either point cloud, DSM, or DTM formats, visit the Ontario GeoHub: https://geohub.lio.gov.on.ca/
Muskoka LiDAR DSM

This is the full-feature DSM dataset derived from the 2018, 2021, and 2023 LiDAR surveys which covers much of Muskoka. To add this service to your desktop GIS application use the following URL: https://maps.muskoka.on.ca/server/rest/services/DEM/Muskoka_LiDAR_DSM/ImageServer Vertical Datum: CGVD28:78 To download the Muskoka LiDAR datasets in either point cloud, DSM, or DTM formats, visit the Ontario GeoHub: https://geohub.lio.gov.on.ca/
Muskoka LiDAR DEM - Slope

This is the ground topography DEM dataset derived from the 2018, 2021, and 2023 LiDAR surveys which covers much of Muskoka. To add this service to your desktop GIS application use the following URL: [https://maps.muskoka.on.ca/server/rest/services/DEM/Muskoka_LiDAR_DEM/ImageServer] Once added to GIS, the built-in slope raster function will need to be applied or the default hillshade render. Aspect is also available as a built-in function. Vertical Datum: CGVD28:78 To download the Muskoka LiDAR datasets in either point cloud, DSM, or DTM formats, visit the Ontario GeoHub: https://geohub.lio.gov.on.ca/
IWM Aquatic Ecosystem Classification

The main objective for this component of the study was to improve the extent and locational accuracy of 1st and 2nd order watercourses, which are often difficult to locate and map when working at a large scale such as the Muskoka River Watershed. The DTM used was 50cm bare-earth terrain derived from a classified lidar point cloud, which provided a much higher resolution picture of the study area’s topography than previously available. To ensure the watercourse modelling was as detailed as possible the DTM was not resampled and was kept at the original 50cm resolution. Flow Direction was determined first using the D8 algorithm, followed by flow accumulation. A flow accumulation cut-off of 175000 pixels was used after careful comparison with known watercourses. Watercourses were the extracted from the flow accumulation raster, simplified and connected across the watershed. The flow direction has been set to match the start/end geometry of the line. Flow direction has been set for the geometric network using the source/sinks option. Flow direction can be viewed by selecting the "display arrows" button on the Utility Network Analyst toolbar in ArcMap. Aquatic Ecosystem Classification mapping processes and techniques were applied to the Muskoka River Watershed LiDAR watercourses to quantify general attributes using a combination of existing data and modeling. Primary attributes were calculated including: Reach, Reach Slope, Reach Catchment Area, Velocity Class, Network Line Type. For full methods on the application of the AEC reference Muskoka River Watershed IWM Natural Capital Inventory - Addendum 5: Aquatic Ecosystem Classification.
IWM Wetland Hybrid

Using the wetlands created from the systems land cover, a deep learning approach was utilized to classify wetland extents into community classes to facilitate mapping of wetland extent and type. Landcover predictions were also used to extract wetland features. Refer to section 2.1.1.1.2 in the Ph. 2 Final Report and Addendum 2: Refinement of Land Cover Types.

The areas covered in the IWM project have been merged with the District 2008 wetland data in the areas not covered by the study area to create a hybrid layer covering the entire District municipal boundary.
District DRT Phase 1.2 Service Area

The District Demand-Responsive Transit (DRT) is a transit service linking those in rural areas to urban centres and allowing them to connect to other services such as the Corridor 11. Riders can book rides in advance and the Blaise technology will match riders with a vehicle. Ride requests are tabulated and the best route is determined to include the requested pick-ups and drop offs for that day. The system will tell the driver where the vehicle is to go next. Trips may be individual or shared. During busy times of the day, the vehicle may pick up multiple passengers on the way to each destination. Anyone wishing to travel in the service area can book rides, regardless of age or ability. https://www.muskoka.on.ca/en/community-services-and-support/district-drt.aspx