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Ontario Classified Point Cloud (Lidar-Derived) The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: <span class="italic"> unclassified </span> ground <span class="italic"> water </span> high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data:__ Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [Ontario Digital Terrain Model (Lidar-Derived)]( <a href="https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-terrain-model-lidar-derived/about" class="underline hover:no-underline decoration-from-font text-custom-16">https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-terrain-model-lidar-derived/about</a>). For a model representing all surface features, see the <a href="https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-lidar-derived/about" class="underline hover:no-underline decoration-from-font text-custom-16">Ontario Digital Surface Model (Lidar-Derived)</a>. Government of Ontario; Natural Resources and Forestry https://www.ontario.ca/feedback/contact-us?id=26930&nid=65620 undefined/Present dataset; jeuDonnées Environment and Natural Resources Government information en,fr Ontario Classified Point Cloud (Lidar-Derived) Nuage de points classifié de l'Ontario (dérivé du lidar) https://geohub.lio.gov.on.ca/datasets/mnrf::ontario-classified-point-cloud-lidar-deriveden,fr Nuage de points classifiés de l’Ontario (données dérivées de LiDAR) Nuage de points classifiés de l'Ontario (LiDAR dérivées) https://geohub-fr.lio.gov.on.ca/datasets/mnrf::nuage-de-points-classifiés-de-lontario-données-dérivées-de-lidaren,fr Original metadata (https://data.ontario.ca) Métadonnées originales (https://data.ontario.ca) https://data.ontario.ca/dataset/6a0c7177-24de-4eee-89dd-ef7abef427ffen,fr Original metadata (https://data.ontario.ca/fr) Métadonnées originales (https://data.ontario.ca/fr) https://data.ontario.ca/fr/dataset/6a0c7177-24de-4eee-89dd-ef7abef427ffen,fr Ontario Classified Point Cloud (Lidar-Derived) Tile Index (extracted from geohub) Index des tuiles des nuages de points classifiés de l'Ontario (dérivé du lidar) (extrait de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/OntarioClassifiedPC_LidarDerived_TileIndex.zipen,fr OMAFRA Lidar Point Cloud 2016-18 Cochrane Lift Metadata (extracted from geohub) Métadonnées du Lift Cochrane Lift 2016-18 du Lidar Point Cloud de l'OMAFRA (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Lidar%20Classified%20Crne%20-%20Lift%20Metadata.zipen,fr OMAFRA Lidar Point Cloud 2016-18 Peterborough Lift Metadata (extracted from geohub) Métadonnées de l'OMAFRA Lidar Point Cloud 2016-18 Peterborough Lift (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Lidar%20Classified%20Ptbo%20-%20Lift%20Metadata.zipen,fr OMAFRA Lidar Point Cloud 2016-18 Lake Erie Lift Metadata (extracted from geohub) Métadonnées de l'OMAFRA Lidar Point Cloud 2016-18 sur la remontée du lac Érié (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Lidar%20Classified%20Lake%20Erie%20-%20Lift%20Metadata.zipen,fr CLOCA Lidar Point Cloud 2018 Lift Metadata (extracted from geohub) Métadonnées d'ascenseur CLOCA Lidar Point Cloud 2018 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Lidar Classified CLOCA - Lift Metadata.zipen,fr South Nation Lidar Point Cloud 2018-19 Lift Metadata (extracted from geohub) Métadonnées des ascenseurs 2018-19 de South Nation Lidar Point Cloud (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Lidar Classified South Nation - Lift Metadata.zipen,fr York-Lake Simcoe Lidar Point Cloud 2019 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur 2019 du nuage de points lidar de York-Lake Simcoe (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/York-LakeSimcoe-Lift-metadata.zipen,fr Ottawa River Lidar Point Cloud 2019-20 Lift Metadata (extracted from geohub) Métadonnées de l'élévation du nuage de points lidar de la rivière des Outaouais 2019-2020 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/OttawaRiver2019-20_Lift_metadata.zipen,fr OMAFRA Lidar Point Cloud 2022 Lake Huron Lift Metadata (extracted from geohub) Métadonnées de l'OMAFRA Lidar Point Cloud 2022 sur la remontée du lac Huron (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/OMAFRA2022_LakeHuron_LiftMetadata.zipen,fr OMAFRA Lidar Point Cloud 2022 Lake Simcoe Lift Metadata (extracted from geohub) Métadonnées de l'OMAFRA Lidar Point Cloud 2022 sur la remontée du lac Simcoe (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/OMAFRA2022_LakeSimcoe_Lift_metadata.zipen,fr Eastern Ontario Lidar Point Cloud 2021-22 Lift Metadata (extracted from geohub) Métadonnées des ascenseurs 2021-22 du nuage de points lidar de l'est de l'Ontario (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/EasternOntario2021-22_Lift_metadata.zipen,fr Huron-Georgian Bay Lidar Point Cloud 2022-23 Lift Metadata (extracted from geohub) Métadonnées de levage du nuage de points lidar de la baie Huron-Georgienne et de la baie Georgienne (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Huron-GeorgianBay2022_23_Lift_metadata.zipen,fr Kawartha Lakes Lidar Point Cloud 2023 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur 2023 du nuage de points lidar de Kawartha Lakes (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/KawarthaLakes2023_Lift_metadata.zipen,fr Ontario Lidar Project Extents (extracted from geohub) Étendue du projet Lidar de l'Ontario (extrait de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/OntarioLidarProjectExtents.zipen,fr Sault Ste Marie Lidar Point Cloud 2023-24 Lift Metadata (extracted from geohub) Métadonnées des ascenseurs du nuage de points lidar de Sault Ste Marie 2023-2024 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/SaultSteMarie2023_24_Lift_metadata.zipen,fr Sudbury Lidar Point Cloud 2023-24 Lift Metadata (extracted from geohub) Métadonnées des ascenseurs 2023-24 du nuage de points lidar de Sudbury (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Sudbury2023_24_Lift_metadata.zipen,fr Thunder Bay Lidar Point Cloud 2023-24 Lift Metadata (extracted from geohub) Métadonnées des ascenseurs 2023-24 du nuage de points lidar de Thunder Bay (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/ThunderBay2023_24_Lift_metadata.zipen,fr Timmins Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur 2024 du nuage de points lidar de Timmins (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Timmins2024_Lift_metadata.zipen,fr GTA Lidar Point Cloud 2023 Lift Metadata (extracted from geohub) Métadonnées des ascenseurs de GTA Lidar Point Cloud 2023 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/GTA2023_Lift_metadata.zipen,fr Cataraqui Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur Cataraqui Lidar Point Cloud 2024 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Cataraqui2024_Lift_metadata.zipen,fr Chapleau Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées de Chapleau Lidar Point Cloud 2024 Lift (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Chapleau2024_Lift_metadata.zipen,fr Dryden Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur Dryden Lidar Point Cloud 2024 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Dryden2024_Lift_metadata.zipen,fr Ignace Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées Ignace Lidar Point Cloud 2024 Lift (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Ignace2024_Lift_metadata.zipen,fr Sioux Lookout Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur 2024 de Sioux Lookout Lidar Point Cloud (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/SiouxLookout2024_Lift_metadata.zipen,fr Northeastern Ontario Lidar Point Cloud 2024-25 Lift Metadata (extracted from geohub) Métadonnées de levage du nuage de points lidar du nord-est de l'Ontario 2024-2025 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/NE_Ontario2024_25_Lift_metadata.zipen,fr Atikokan Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur 2024 du nuage de points lidar d'Atikokan (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Atikokan2024_Lift_metadata.zipen,fr Manitoulin Lidar Point Cloud 2024 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur 2024 du nuage de points lidar de Manitoulin (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Manitoulin2024_Lift_metadata.zipen,fr Central East Lidar Point Cloud 2025 Lift Metadata (extracted from geohub) Métadonnées du Central East Lidar Point Cloud 2025 Lift (extraites de Geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/CentralEast2025_Lift_metadata.zipen,fr Kenora Lidar Point Cloud 2025 Lift Metadata (extracted from geohub) Métadonnées de Kenora Lidar Point Cloud 2025 Lift (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/Kenora2025_lift_metadata.zipen,fr Upper Thames-Grand River Lidar Point Cloud 2025 Lift Metadata (extracted from geohub) Métadonnées de l'élévation du nuage de points lidar Upper Thames-Grand River 2025 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/UpperThamesGrandRiver2025_Lift_metadata.zipen,fr Rainy River Lidar Point Cloud 2025 Lift Metadata (extracted from geohub) Métadonnées Lift 2025 du Rainy River Lidar Point Cloud (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/RainyRiver2025_Lift_metadata.zipen,fr Lower Thames Lidar Point Cloud 2025 Lift Metadata (extracted from geohub) Métadonnées Lift du Lower Thames Lidar Point Cloud 2025 (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/LowerThames2025_Lift_metadata.zipen,fr Parry Sound Lidar Point Cloud 2025 Lift Metadata (extracted from geohub) Métadonnées de l'ascenseur 2025 du Lidar Point Cloud de Parry Sound (extraites de geohub) https://www.publicdocs.mnr.gov.on.ca/mirb/ParrySound2025_Lift_metadata.zip

Government Of Canada Geo.ca Data Catalog. Dataset Boundary [ undefined This catalog contains open datasets available on the Geo.ca platform. en-CA Government of Ontario; Natural Resources and Forestry https://www.ontario.ca/feedback/contact-us?id=26930&nid=65620

Ontario Classified Point Cloud (Lidar-Derived)

The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: unclassified ground water high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data:__ Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [Ontario Digital Terrain Model (Lidar-Derived)]( https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-terrain-model-lidar-derived/about). For a model representing all surface features, see the Ontario Digital Surface Model (Lidar-Derived).