The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

Lidar point cloud data with classifications – unclassified (1), ground (2), low vegetation (3), medium vegetation (4), high vegetation (5), buildings (6), low point - noise (7), reserved – model keypoint (8), high noise (18).

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). For a model representing all surface features, see the Ontario Digital Surface Model (Lidar-Derived).

Zoom in on the map above and click your area of interest or use the Tile Index linked below to determine which package(s) you require for download. The DTM data is available in the form of 1-km by 1-km non-overlapping tiles grouped into packages for download.This dataset is a compilation of lidar data from multiple acquisition projects, as such specifications, parameters and sensors may vary by project. See the detailed User Guide linked below for additional information.

You can monitor the availability and status of lidar projects on the Ontario Lidar Coverage map on the Ontario Elevation Mapping Program hub page.

Now also available through a web service which exposes the data for visualization, geoprocessing and limited download. The service is best accessed through the ArcGIS REST API, either directly or by setting up an ArcGIS server connection using the REST endpoint URL. The service draws using the Web Mercator projection.

For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca.

Service Endpoints

https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DTM_LidarDerived/ImageServer https://intra.ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DTM_LidarDerived/ImageServer (Government of Ontario Internal Users)

Additional Documentation

Ontario DTM (Lidar-Derived) - User Guide (DOCX)

OMAFRA Lidar 2016-2018 -Cochrane-Additional Contractor Metadata (PDF) OMAFRA Lidar 2016-2018 -Peterborough-AdditionalContractorMetadata (PDF) OMAFRA Lidar 2016-2018 -Lake Erie-AdditionalContractorMetadata (PDF) CLOCA Lidar 2018 - Additional Contractor Metadata (PDF) South Nation Lidar 2018-19 - Additional Contractor Metadata (PDF) OMAFRA Lidar 2022 - Lake Huron - Additional Contractor Metadata (PDF) OMAFRA Lidar 2022 - Lake Simcoe - Additional Contractor Metadata (PDF) Huron-Georgian Lidar 2022-23 - Additional Contractor Metadata (Word) Kawartha Lakes Lidar 2023 - Additional Contractor Metadata (Word) Sault Ste Marie Lidar 2023-24 - Additional Contractor Metadata (Word) Thunder Bay Lidar 2023-24 - Additional Contractor Metadata (Word) Timmins Lidar 2024 - Additional Contractor Metadata (Word)

Ontario DTM (Lidar-Derived) - Tile Index (SHP) Ontario Lidar Project Extents (SHP)

OMAFRA Lidar DTM 2016-2018 -Cochrane- Breaklines (SHP) OMAFRA Lidar DTM 2016-2018 -Peterborough-Breaklines (SHP) OMAFRA Lidar DTM 2016-2018 -Lake Erie-Breaklines (SHP) CLOCA Lidar DTM 2018-Breaklines (SHP) South Nation Lidar DTM 2018-19-Breaklines (SHP) Ottawa-Gatineau Lidar DTM 2019-20 - Breaklines (SHP) OMAFRA Lidar DTM 2022 - Lake Huron - Breaklines (SHP) OMAFRA Lidar DTM 2022 - Lake Simcoe - Breaklines (SHP) Eastern Ontario Lidar DTM 2021-22 - Breaklines (SHP) Muskoka Lidar DTM 2018 - Breaklines CGVD2013 (SHP) / CGVD28 (SHP) Muskoka Lidar DTM 2021 - Breaklines CGVD2013 (SHP) / CGVD28 (SHP) Muskoka Lidar DTM 2023 - Breaklines CGVD2013 (SHP) / CGVD28 (SHP) DEDSFM Huron-Georgian Bay 2022-23 - Breaklines (SHP) DEDSFM Kawartha Lakes 2023 - Breaklines (SHP) DEDSFM Sault Ste Marie 2023-24- UTM16 - Breaklines (SHP) DEDSFM Sault Ste Marie 2023-24- UTM17 - Breaklines (SHP) DEDSFM Sudbury 2023-24 - Breaklines (SHP) DEDSFM Thunder Bay 2023-24 - Breaklines (SHP) DEDSFM Timmins 2024 - Breaklines (SHP)

Product PackagesDownload links for the Ontario DTM (Lidar-Derived) (Word) Projects: LEAP 2009 GTA 2014-18 OMAFRA 2016-18 CLOCA 2018 South Nation CA 2018-19 Muskoka 2018-23 York-Lake Simcoe 2019 Ottawa River 2019-20 Ottawa-Gatineau 2019-20 Lake Nipissing 2020 Hamilton-Niagara 2021 Huron Shores 2021 Eastern Ontario 2021-22 OMAFRA Lake Huron 2022 OMAFRA Lake Simcoe 2022 Belleville 2022 Digital Elevation Data to Support Flood Mapping 2022-26

Huron-Georgian Bay 2022-23 Kawartha Lakes 2023 Sault Ste Marie 2023-24 Sudbury 2023-24 Thunder Bay 2023-24 Timmins 2024

Greater Toronto Area Lidar 2023

Status On going: Data is continually being updated

Maintenance and Update Frequency As needed: Data is updated as deemed necessary

Contact Ontario Ministry of Natural Resources - Geospatial Ontario,geospatial@ontario.ca

Il s'agit de l'enregistrement de métadonnées pour les ensembles de données LiDAR acquis pour la région de l'île Calvert, en Colombie-Britannique, au Canada, en 2012 et 2014. Il fournit des détails sur les deux missions LiDAR et le traitement initial pour fusionner les deux ensembles de données ensemble.

L'ensemble de données a été créé à partir de deux missions, l'une en 2012 et l'autre en 2014. Les deux ensembles de données ont été fusionnés et utilisés pour générer de nombreux produits de données dérivés (voir la section des liens ci-dessous). La mission de 2012 a recueilli des hyperspectrales et des orthophotographies afin que les métadonnées de mission pour l'ensemble de données LiDAR s'appliquent également à ces actifs.

Les altitudes du terrain mesurées par LiDAR aéroporté ont été recueillies en août 2012 pour l'île Calvert, l'île Hécate et trois autres zones de relevé situées au nord-est (c.-à-d. l'embouchure de la rivière Koeye, la ville portuaire de Namu et le coin sud-ouest de l'île King) par Terra Remote Sensing Inc. (TRSI), Sidney, Colombie-Britannique (figure 1). La couverture aérienne totale de l'acquisition était de 477,2 km2. La densité de points (nombre de retours par unité de surface) de l'acquisition était en moyenne d'environ 2,34 pts/m2 pour toutes les déclarations affichées (maximum de trois déclarations discrètes par impulsion), 2,11 pts/m2 pour les premières déclarations et 0,51 pts/m2 pour les déclarations classées au sol. Informations plus détaillées sur le capteur LiDAR TRSI et les paramètres de levé, le prétraitement des données, les contrôles de qualité et la vérification de la précision. Une deuxième acquisition de données LiDAR aéroportées a été entreprise par le LiDAR Research Group de l'Université du Nord de la Colombie-Britannique (UNBC) en août 2014, dans le but exprès de recueillir des données LiDAR à résolution spatiale plus élevée (3,4 à 22,3 pts/m2) sur certains domaines de recherche d'intérêt sur les îles Hécate et Calvert, ainsi que remplir et éliminer plusieurs vides de données trouvés dans la couverture LiDAR TRSI initiale.

Mission 2012 : Dates : 5, 15 et 17 août Dirigé par : Terra Remote Sensing Surface couverte : 477,22 km^2 Hauteur de vol : 1150 mètres au-dessus du sol Projection : UTM Zone 9 Date : NAD 83 Géoïde : HT 2.0 Points LiDAR : une précision relative de +/-15 cm et une précision absolue de 1 m Données hyperspectrales : +/- 2 pixels Densité des nuages de points : En prélevant des échantillons aléatoires dans toute la zone du projet, la densité de points moyenne pour une seule ligne de vol est de 1 pts/m2

Mission 2014 : Dates : 7 août 2014 Dirigé par : UNBC LiDAR Research Group Surface couverte : 34,9 km^2 Hauteur de vol : ~475 m et 650 m +/- 50 m Projection : UTM Zone 9 Date : CSRS NAD 83 Géoïde : hauteurs d'ellipsoïdes La densité de points variait de 22,3 pts/m2 à 3,4 pts/m2

The link: * Access the data directory* is available in the section*Dataset description sheets; Additional information*. Products derived from lidar (Light Detection and Ranging) are generated as part of the provincial lidar sensor data acquisition project. It is therefore to facilitate the use of raw lidar data and optimize its benefits that the Ministry of Natural Resources and Forests (MRNF) generated and made available products derived from lidar in a user-friendly format. Lidar technology makes it possible to accurately provide information such as ground altitude, forest cover height (canopy), slopes, and contour lines. Here is the list of the five derived products: + Digital terrain model (spatial resolution: 1 m) + Digital terrain model in shaded relief (spatial resolution: 2 m) + Canopy height model (spatial resolution: 1 m) + Slopes (spatial resolution: 2 m) + Slopes (spatial resolution: 2 m) + Level curve (interval of: 1 m) This data covers almost the entire territory of Quebec south of the 52nd parallel. This map is distributed by map sheet at a scale of 1/20,000. Note 1: The resolution of the following products (digital terrain model, digital terrain model in shaded relief, canopy height model and slopes) has been slightly degraded in visualization in the interactive map to ensure efficient display. Note 2: The planimetric and altimetric accuracy of the curves is variable, but inevitably lower than that of the lidar surveys used to generate them. Moreover, it is recommended to use these level curves only for visual representations, and not for quantitative analyses.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

[ARCHIVED] This dataset has been archived as it is no longer able to be provided in this manner. For a more current version of this elevation dataset, please refer to https://nsgi.novascotia.ca/datalocator/elevation/ to access the current catalogue of available elevation products. Elevation data (LiDAR) was captured for a select group of 1:2000 scale map sheets covering the Town of Hantsport. This LiDAR data has had all ground points classified thereby providing a bare earth profile for the project area. The nominal point spacing of the returns is 1 point per metre. The area collected is a total of six 1:2000 scale map sheet windows for a total coverage of approximately 17 square kilometres.

Lidar point cloud data with classifications – unclassified (1), ground (2), low vegetation (3), medium vegetation (4), high vegetation (5), buildings (6), low point - noise (7), reserved – model keypoint (8), high noise (18).

The link: * Access the data directory is available in the sectionDataset description sheets; Additional information. As part of the provincial LiDAR sensor data acquisition project, a topographic humidity index or Topographic Wetness Index (TWI) was produced from the digital terrain model derived from aerial LiDAR (Light Detection and Ranging). The matrix layers thus produced provide information on the potential for water accumulation on the territory as a function of the slope and accumulation at a given pixel.This third party metadata element was translated using an automated translation tool (Amazon Translate).*

LiDAR Derived Digital Elevation Models available at a 1m resolution in New Brunswick Stereographic Double Projection (NBSDP). LiDAR Derived Digital Elevation Models and Digital Surface Models available at 1m or 2m resolutions from NRCAN in Universal Transverse Mercator (UTM).

LiDAR (Light Detection And Ranging) is a modern survey method that produces three-dimensional spatial information in the form of a data point cloud. LiDAR is an active remote sensing system; it produces its own energy to acquire information, versus passive systems, like cameras, that only receive energy. LiDAR systems are made up of a scanner, which is a laser transmitter and receiver; a GNSS (GPS) receiver; and an inertial navigation system (INS). These instruments are mounted to an aircraft. The laser scanner transmits near-infrared light to the ground. The light reflects off the ground and returns to the scanner. The scanner measures the time interval and intensity of the reflected signals. This information is integrated with the positional information provided by the GNSS and INS to create a three-dimensional point cloud representing the surface. A LiDAR system can record millions of points per second, resulting in high spatial resolution, which allows for differentiation of many fine terrain features. Point clouds collected with LiDAR can be used to create three-dimensional representations of the Earth’s surface, such as Digital Elevation Models (DEMs) and Digital Surface Models (DSMs). DEMs model the elevation of the ground without objects on the surface, and DSMs model ground elevations as well as surface objects such as trees and buildings. LidarBC's Open LiDAR Data Portal (see link under Resources) is an initiative to provide open public access to LiDAR and associated datasets collected by the Government of British Columbia. The data in the portal is released as Open Data under the Open Government Licence – British Columbia (OGL-BC). Four Government of British Columbia business areas and one department of the Government of Canada make LiDAR data available through the portal: * GeoBC * Emergency Management and Climate Readiness (EMCR) * BC Timber Sales (BCTS) * Forest Analysis and Inventory Branch (FAIB) * Natural Resources Canada (NRCan) GeoBC is the provincial branch that oversees and manages LidarBC’s Open LiDAR Data Portal, including storage, distribution, maintenance, and updates. Please direct questions to LiDAR@gov.bc.ca.

This dataset contains LiDAR scans as Faro Scene files of 53 scans which cover 15 different fossiliferous surfaces. The number of scans per surface varies depending on the topology of the bedding plane. These LiDAR scans were made in Newfoundland, Canada, from Mistaken Point Ecological Reserve (10 surfaces), Discovery Geopark (4 surfaces) and Ferryland (1 surface). 45 scans were made in July 2022 and 8 in September 2022. The scans were made in order to enable the mapping of fossil specimens within their communities so that spatial analyses can be used to infer the underlying biological and ecological processes than govern Ediacaran eco-evolutionary dynamics. The dataset is complete to reconstruct the bedding surfaces accurately.

Le groupe de recherche de Brian Menounos à l'UNBC, avec Hakai Geospatial, a volé Lidar et Imagery à l'est de Lillooet pendant 3 jours en 2019 (13 et 22 juillet et 13 août 2019). De nouveaux vols ont été nécessaires en 2020 pour aider à éliminer le bruit des données et la faible densité de points.

Le projet a eu lieu en 2019, puis de nouveau en 2020 pour des vols de retour, dans une zone de 315 km2 à l'est de Lillooet, en Colombie-Britannique.

Vous trouverez ci-dessous un bref aperçu de l'Observatoire côtier aéroporté (ACO) et du type de données collectées. Pour plus d'informations sur le post-traitement, l'assurance qualité des données, le logiciel utilisé et un résumé des résultats, veuillez contacter data@hakai.org L'ACO est une plateforme de télédétection aérienne utilisée par l'Institut Hakai pour étudier en détail les paysages. Un avion Piper Navajo est équipé d'un ensemble de capteurs de cartographie aéroportés intégrés installés pour collecter des données de concert. L'avion est exploité et entretenu par Kisik Aerial Surveys (Delta, BC). Produits de données disponibles : Données Lidar (LAZ) - nuage de points classifiés - modèle de surface numérique - modèle numérique de terrain. Données d'image (TIFF) — orthophotos 4 bandes — RGB et NIR. Données hyperspectrales (pas toujours capturées). Un rapport de projet détaillé avec le résumé de l'acquisition, du traitement et de l'ensemble du matériel/logiciel est disponible (PDF). Panne des capteurs et des instruments : Système de navigation à inertie : Fabricant : Applanix (Canada), modèle IMU : POS AV 510 IMAR, modèle GNSS : Trimble AV39. Capteur laser : scanner laser aéroporté longue portée Riegl LMS-Q 780. La densité de points par projet et paysage varie de 1 à 12 points par mètre carré. Caméras aériennes : deux appareils photo moyen format Phaseone Industrial iXU-RS1000 entièrement intégrés, résolution : 100MP, objectif : 50mm f/4.0 Rodenstock. Capteur hyperspectral : fabricant : Specim, modèle : AisaFenix 384, plage spectrale : 380 - 2500 nm

LiDAR Services International (LSI), a Calgary-based LiDAR company completed an airborne LiDAR survey for the Redberry Lake Biosphere Reserve (RLBR) and Agriculture and Agri-Foods Canada (AAFC) in October 2011. The project involved collection of LiDAR data for a 362.97 km2 block area, 252.77 km2 for Redberry Lake and 110.20 km2 for AAFC northwest of Saskatoon, SK. Deliverables included: • 1 m bare earth and full feature grids in 1 km x 1 km tiles (ASCII XYZ format) • 1 m bare earth and full feature greyscale hillshades (GeoGeoTIF format) • Classified LiDAR point clouds and ASCII extractor program (LAS v1.2 format)

This dataset contains two canopy height maps from forested ecosystems of Canada at 250m spatial resolution — one using information from the spaceborne LiDAR GEDI, and the other from ICESat-2. GEDI and ICESat-2 are particular in acquiring canopy height information in Canada — the former providing more accurate information of vegetation, yet not reaching full coverage in Canada, whilst the latter is not specifically designed to provide vegetation information but has a global coverage. We created wall-to-wall maps using ATL08 LiDAR product from the ICESat-2 satellite, and GEDI L2A from GEDI. The data were download for the mid growing season (June and August 2020). Points were filtered regarding solar background noise and atmospheric scattering, totaling 208,554 points from ICESat-2, and 1,249,354 points for GEDI after filtering and point thinning. These points were associated with 14 ancillary variables primarily corresponding to structure information, such as seasonal Sentinel-1 VV and VH polarization, seasonal Sentinel-2 red and NIR bands, and annual PALSAR-2 HH and HV polarization. Afterwards, the random forest algorithm was used to extrapolate LiDAR observations and develop regression models with the abovementioned spatially continuous variables. GEDI had a better performance than ICESat-2 with a mean difference (MD) of 0.9 m and 2.9 m in relation to ALS data used for validation, and a root mean square error (RMSE) of 4.2 m and 5.2 m, respectively. However, as both GEDI and ALS have no coverage in most of the hemi-boreal forests, ICESat-2 captures the tall canopy heights expected for these forests better than GEDI.

[ARCHIVED] This dataset has been archived as it is no longer able to be provided in this manner. For a more current version of this elevation dataset, please refer to https://nsgi.novascotia.ca/datalocator/elevation/ to access the current catalogue of available elevation products. Elevation data (LiDAR) was captured for a select group of 1:2000 scale map sheets located in the District of the Municipality Of Shelburne. This LiDAR data has not been classified and is a raw data record of all the returns from the LiDAR sensor. The nominal point spacing of the returns is 1 point per metre. The area collected is a total of thirty four 1:2000 scale map sheet windows for a total coverage of approximately 95 square kilometres.

The LiDAR Point Clouds is a product that is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan. This product contains point clouds from various airborne LiDAR acquisition projects conducted in Canada. These airborne LiDAR acquisition projects may have been conducted by NRCan or by various partners. The LiDAR point cloud data is licensed under an open government license and has been incorporated into the National Elevation Data Strategy. Point cloud files are distributed by LiDAR acquisition project without integration between projects. The point cloud files are distributed using the compressed .LAZ / Cloud Optimized Point Cloud (COPC) format. The COPC open format is an octree reorganization of the data inside a .LAZ 1.4 file. It allows efficient use and visualization rendering via HTTP calls (e.g. via the web), while offering the capabilities specific to the compressed .LAZ format which is already well established in the industry. Point cloud files are therefore both downloadable for local use and viewable via URL links from a cloud computing environment. The reference system used for all point clouds in the product is NAD83(CSRS), epoch 2010. The projection used is the UTM projection with the corresponding zone. Elevations are orthometric and expressed in reference to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013).

A grid of cells 1 km by 1 km covering the areas of New Brunswick where lidar data has been collected. Each grid cell includes a link to download lidar data.

Single photon lidar light detection and ranging (SPL LiDAR) is an active remote sensing technology for: * mapping vegetation aspects including cover, density and height * representing the earth's terrain and elevation contours We acquired SPL data on an airborne acquisition platform under leaf-on conditions to support Forest Resources Inventory (FRI) development. FRI provides: * information to support resource management planning and land use decisions within Ontario’s Managed Zone * information on tree species, density, heights, ages and distribution The SPL data point density ranges from a min of 25pts/m. Each point represents heights of objects such as: * ground level terrain points * heights of vegetation * buildings The lidar was classified according to the Ontario lidar classifications. Low, medium and tall vegetation are classed as 3, 4, 5 and 12 classes. The FRI SPL products include the following digital elevation models: * digital terrain model * canopy height model * digital surface model * intensity model (signal width to return ratio) * forest inventory raster metrics * forest inventory attributes * predicted streams * hydro break lines * block control points Lidar fMVA data supports developing detailed 3D analysis of: * forest inventory * terrain * hydrology * infrastructure * transportation * other mapping applications We made significant investments in Single Photon LiDAR data, now available on the Open Data Catalogue. Derivatives are available for streaming or through download. The map reflects areas with LiDAR data available for download. Zoom in to see data tiles and download options. Select individual tiles to download the data. You can download: * classified point cloud data can also be downloaded via .laz format * derivatives in a compressed .tiff format * Forest Resource Inventory leaf-on LiDAR Tile Index. Download | Shapefile | File Geodatabase | GeoPackage Web raster services You can access the data through our web raster services. For more information and tutorials, read the Ontario Web Raster Services User Guide. If you have questions about how to use the Web raster services, email Geospatial Ontario (GEO) at geospatial@ontario.ca. Note: Internal users replace "https://ws.” with “https://intra.ws." * CHM https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_CHM_SPL/ImageServer * DSM - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_DSM_SPL/ImageServer * DTM - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/FRI_DTM_SPL/ImageServer * T1 Imagery - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/FRI_Imagery_T1/ImageServer * T2 Imagery - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/FRI_Imagery_T2/ImageServer * Landcover - https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Thematic/Ontario_Land_Cover_Compilation_v2/ImageServer

These Lidar data were collected on October 16 to November 5, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation. The survey areas cover eastern portions of the Upper Okanogan River in Canada, the Lower Okanogan River in Washington State, and Lake Roosevelt in Washington State. The study areas total ~560 square kilometers. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.