Imagery and land cover data

uav imagery by Open Mapping Hub - Asia Pacific, acquired 2025-10-02 to 2025-10-02, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Open Mapping Hub - Asia Pacific, acquired 2025-10-02 to 2025-10-02, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Sean Frey, acquired 2026-05-13 to 2026-05-13, 3.5 cm per pixel, published on OpenAerialMap.

aircraft imagery by Centro de Estudios POMOTE, acquired 2026-05-13 to 2026-05-13, 4.4 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-06-10 to 2025-06-10, 3.6 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2026-05-22 to 2026-05-22, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2026-05-22 to 2026-05-22, 4.9 cm per pixel, published on OpenAerialMap.

Boundaries and dates of the imagery blocks in the Google imagery service

satellite imagery by Vantor, acquired 2026-05-25 to 2026-05-25, 34.1 cm per pixel, published on OpenAerialMap.

satellite imagery by GIS, acquired 2026-07-29 to 2026-07-30, 2.6 cm per pixel, published on OpenAerialMap.

aircraft imagery by IGAC Emergencia Terremoto 2026, acquired 2026-08-18 to 2026-08-18, 10.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-19 to 2026-08-19, 46.9 cm per pixel, published on OpenAerialMap.

uav imagery by North Metro Fire Rescue District, acquired 2026-08-20 to 2026-08-20, 3.3 cm per pixel, published on OpenAerialMap.

satellite imagery by IGAC Emergencia Terremoto 2026, acquired 2026-08-26 to 2026-08-26, 10.0 cm per pixel, published on OpenAerialMap.

Date of Image: 9/28/2024, 10/3/2024, 10/5/2024, 10/10/2024, 10/15/2024, 10/17/2024 Date of Next Image: Unknown Summary: NASA used a Sentinel-1 SAR backscatter change approach developed in GEE (Handwerger et al., 2022) to detect areas with high landslide density. This approach detects potential landslides by calculating the change in the backscatter coefficient before and after the triggering event using the log ratio approach. False positives such as backscatter change due to flooding, agriculture, and more, are removed by using threshold-based masks made from the topographic slope from the 1 arcsec (∼30 m) resolution NASADEM (NASA JPL, 2020). Using stacks of SAR data reduces noise, and furthermore, the pre-event stack provides backscatter data that is more representative of the pre-event ground surface properties. Finally, to detect landslide areas, the backscatter change raster was thresholded using the 99th percentile to highlight strong signals, and the heatmap was calculated. Pre-event time frame: 2024-01-10 to 2024-09-26 Post-event time frame: 2024-09-28 to 2024-10-17 This map should be used as a guidance to identify areas likely affected by landslides. This is a rapid response product. We have not done any form of manual corrections to remove false positives. Suggested Use: The red and yellow areas indicate potential zones of dense landsliding. Disclaimer: not verified in field and optical imagery has clouds preventing verification. Satellite/Sensor: Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) Resolution: 10 meters Credits: NASA GSFC Landslides Team, Copernicus Sentinel-1 data Handwerger Al, Huang M-H, Jones SY, Amatya P, Kerner HR, Kirschbaum DB. 2022. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Nat. Hazards Earth Syst. Sci. Copernicus Publications, 22(3): 753–773. https://doi.org/10.5194/nhess-22-753-2022. Esri REST Endpoint: See URL section on right side of page

aircraft imagery by JONNATHAN NOGUEIRA, acquired 2026-02-11 to 2026-02-12, 1.5 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-08-10 to 2025-08-10, 2.0 cm per pixel, published on OpenAerialMap.

Official Plan Land use structure for Brampton Plan Schedule 1A.  Land Use Designations identify the general intended use and function of land throughout the city. These designations provide the framework for growth and development by directing where rCommunity Areas, Employment Areas, Natural Heritage System, Provincial Highways, and other land uses are permitted, helping to create complete and connected communities. This data is intended to be used in conjuction with other related mapping layers for this schedule, and may be impacted by other schedules, with consideration to the text of Brampton Plan.

uav imagery by Utaiguara Borges - Latitude Geográfica, acquired 2026-03-19 to 2026-03-19, 2.9 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-07 to 2025-10-07, 2.7 cm per pixel, published on OpenAerialMap.

uav imagery by Open Mapping Hub - Asia Pacific, acquired 2025-10-01 to 2025-10-01, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2026-04-12 to 2026-04-12, 3.6 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Seasonal Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2004 to 2024 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) Projection: GCS WGS84 Extent: Regional | Europe Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains European IR detection climatological statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2004-2024 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov

satellite imagery by Vantor, acquired 2026-05-26 to 2026-05-26, 53.3 cm per pixel, published on OpenAerialMap.

ArcGIS Image ServiceTime Interval: Monthly Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis service provides monthly gridded overshooting cloud top detection, specifically the Anvil Cloud Days/Month over Australia. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov

uav imagery by Esdras Andrade, acquired 2025-08-21 to 2025-08-21, 3.5 cm per pixel, published on OpenAerialMap.

uav imagery by Alfredo Queiroz, acquired 2025-08-26 to 2025-08-26, 2.7 cm per pixel, published on OpenAerialMap.

satellite imagery by INPE, acquired 2025-08-29 to 2025-08-30, 200 cm per pixel, published on OpenAerialMap.

uav imagery by Atlas Logistique / UNDAC, acquired 2025-11-18 to 2025-11-19, 2.9 cm per pixel, published on OpenAerialMap.

aircraft imagery by filipmanso11, acquired 2025-09-01 to 2025-09-01, 2.5 cm per pixel, published on OpenAerialMap.

satellite imagery by NEA Engineering Company Ltd, acquired 2025-09-01 to 2025-09-01, 3.5 cm per pixel, published on OpenAerialMap.

satellite imagery by Rodolfo Vargas Chile. GEÓGRAFO, acquired 2025-09-19 to 2025-09-19, 104.1 cm per pixel, published on OpenAerialMap.

uav imagery by Prefeitura, acquired 2025-09-27 to 2025-09-27, 8.9 cm per pixel, published on OpenAerialMap.

uav imagery by Open Mapping Hub - Asia Pacific, acquired 2025-10-02 to 2025-10-02, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-10-03 to 2025-10-03, 5.4 cm per pixel, published on OpenAerialMap.

uav imagery by Robert Howe, acquired 2025-10-03 to 2025-10-04, 3.6 cm per pixel, published on OpenAerialMap.