Copernicus Digital Elevation Model (DEM)

The Canadian DEM represents the current coverage of elevation data available. This dataset includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived products. This dataset includes a 1m, 2m and 30m DEM. The 1m and 2 m products are a combination of DEM data generated from airborne LiDAR and optical digital images. The 30 m DEM integrates data from the Copernicus DEM acquired during the TanDEM-X Mission, with the DEM data derived from airborne lidar and provides a complete coverage for Canada. Le modèle numérique d’élévation (MNE) canadien représente la couverture actuelle des données d’élévation disponibles. Ce jeu de données comprend un Modèle Numérique de Terrain (MNT), un Modèle Numérique de Surface (MNS) et d’autres produits dérivés. Ce jeu de données propose des MNE de résolution 1 m, 2 m et 30 m. Les produits 1 m et 2 m sont issus d’une combinaison de données MNE générées à partir de LiDAR aéroporté et d’images numériques optiques. L[...]

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Radiometric Terrain Corrected (RTC) SAR Backscatter from Sentinel-1 (S1) validated product consists of radar backscatter normalized with respect to the topography. The product maps signals related to the physical properties of ground scattering objects, such as surface roughness and soil moisture and/or vegetation. The OPERA RTC-S1 product is derived from Copernicus Sentinel-1 Interferometric Wide (IW) Single Look Complex (SLC) data with a near global scope and temporal sampling coincident with the availability of S1 SLC data. Each OPERA RTC-S1 product corresponds to a single S1 burst projected onto a pre-defined UTM/Polar stereographic map projection system map grid with a 30-meter spacing. The Copernicus global 30 m (GLO-30) Digital Elevation Model (DEM) is the reference DEM used to correct for the impacts of topography and to geocode the product. The OPERA RTC-S1 product is normalized to the backsc[...]

This dataset contains Level-3 Dynamic OPERA surface water extent product version 1. The data are validated surface water extent observations beginning April 2023. Known issues and caveats on usage are described under Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B/C (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B/C satellite. The surface water extent products are distributed over projected map coordinates using the Universal Transverse Mercator (UTM) projection. Each UTM tile covers an area of 109.8 km × 109.8 km. This area is divided into 3,660 rows and 3,660 columns at 30-m pixel spacing. Each product is distributed as a set of 10 GeoTIFF (Geographic Tagged Image File Format) files including water classification, associated confidence, land cover classificati[...]

Monitor critical infrastructure assets such as roads, bridges, pipelines, and power lines using satellite imagery. This includes detecting land subsidence, monitoring water accumulation, managing vegetation encroachment, analyzing terrain features, and assessing asset performance. Clients, including government agencies, utility companies, and transportation authorities, benefit from proactive asset management resulting in reduced downtime, improved safety, and extended asset lifespan. We will analyze satellite or custom aerial imagery to assess the condition and performance of critical infrastructure assets, ensuring early detection of issues and enabling proactive maintenance and management.