Canada imagery and land cover data

Date(s) of Images: Post-Event: 8/4/2026 Summary: Satellogic’s operates a commercial constellation of satellites and sensors that offers 4 band (R,G, B and NIR) acquisitions. True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Resolution: 0.5 m to 1 m depending on generation of sensor used and viewing angle. Credits: NASA Disasters Program, Satellogic. For derived products: “Includes copyrighted material of Satellogic. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program."

Dates of Images and Input Data: 8/1/2026 Summary: The MODIS/ASTER Airborne Simulator (MASTER) is a scanning spectrometer flown on multi-altitude research aircraft. It collects high-resolution multispectral imagery across the visible, near-infrared, shortwave infrared (SWIR), mid-infrared (MIR), and thermal infrared (TIR) spectrums. Because MASTER collects information across a wide electromagnetic spectrum, its data allows for multiple derived products to be produced during a disaster event, such as high-resolution thermal mapping (for active fires/hotspots) or surface reflectance analysis (for burn scars, flooding, or damage). The band composites are: Natural Color SWIR (2.1um – 1.6um – 0.55um)- active fire is yellow, vegetation is bright green, smoke is blue MWSWIR (4.0um – 2.1um – 1.6um)- this is our classic fire presentation, Active fire is nearly white, hot spots yellow dark orange/red, burned areas are lighter orange, and vegetation is magenta Suggested Use: Imagery can be used for high-resolution post-event environmental assessment, thermal hotspot detection, and mapping of surface conditions to support scaling studies. Product Description: Standard data products are provided as geotiffs. True Color and False Color composites are created from the wide spectral range, as well as isolate specific thermal emissions to map disaster impacts dynamically. Satellite/Sensor/Resolution: Platform: Airborne Sensor: MODIS/ASTER Airborne Simulator (MASTER) (Modified Daedalus Wildfire scanning spectrometer) Spatial Resolution: 5 to 50 meters dependent on aircraft speed and flight altitude Temporal Resolution: Dependent on approved flight schedules Caveats and Limitations: These results are intended to support rapid emergency response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk. Additionally, certain MASTER spectral channels are strongly affected by atmospheric absorption (e.g., water vapor bands). Data collection is not continuous and requires formal scheduling and approval via the NASA Airborne Science Program Flight Request System. Esri REST Endpoint: See URL to the right. WMS Endpoint: Credits: Instrument maintenance and operations are managed by the Earth Planetary Instrumentation and Calibration (EPIC) Lab (NASA Ames Research Center) in conjunction with the NASA Jet Propulsion Laboratory (JPL). Principal Investigator: Dr. Simon Hook (NASA JPL).

Dates of Images: Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. These pre-fire and post-fire images pair were analyzed for normalized burn ratio (NBR). The input images were generated from the Landsat dataset at 10m resolution. NBR is defined mathematically as (NIR – SWIR)/(NIR + SWIR) where NIR is near-infrared and SWIR is short-wave infrared. dNBR is computed by the difference between the pre-fire NBR and the post-fire NBR. More information on dNBR can be found here: https://un-spider.org/advisory-support/recommended-practices/recommended-practice-burn-severity/in-detail/normalized-burn-ratio. dNBR is computed by the difference between the pre-fire NBR and the post-fire NBR. More information on dNBR can be found here: https://un-spider.org/advisory-support/recommended-practices/recommended-practice-burn-severity/in-detail/normalized-burn-ratio. A threshold of the dNBR raster flagged all the pixels that had values of -0.15 or less. This threshold was manually defined through different iterations in an effort to balance the detection of actual burned areas compared to agricultural activities and other unwanted change detections. The resulting vector was clipped to include detections that were near known fires to further reduce noise and false detections. This was done with cloud masked data, which automatically excluded areas obscured by clouds or thick smoke dNBR data may be computed while the fire is in progress. This is intentionally done to prioritize rapid data availability for proactive disaster response but means data can change over the course of the fire. Check fire containment and image dates for further context on image timing. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. NBR is commonly used as a proxy to indicate areas which have charred vegetation. Darker areas (more negative values) in the NBR image more strongly represent the presence of burned vegetation. dNBR is commonly used as a proxy to identify fire-affected areas. Higher dNBR value are statistically correlated with greater burn severity, where negative dNBR values may represent a re-greening of or growth of vegetation in between pre and post-vegetation. The use of this dNBR product as a quantitative metric of burn severity at the time of posting this dataset should be strongly caveated. This is due to several dNBR limitations: The spectral band selections used for dNBR calculations, and the implication of changes observed following fire in those wavelengths, primarily pertain to how vegetation spectral signatures change in NIR and SWIR wavelengths following charring. Because of this, dNBR will not accurately describe burned surfaces that are not vegetation (e.g. human built infrastructure), and the interpretation of dNBR values may vary widely based on the type of vegetation burned. The degree to which dNBR is accurately determined depends on careful selection of pre and post event imagery. An effort was made to use the highest quality imagery (i.e. cloud free) with representative conditions for each scene; however, it is unknown at the time of this posting how selection of different pre/post image pairs could affect the derived dNBR values. This dataset has not been validated by independent burn severity assessments. Satellite/Sensor: Landsat 8 Operational Land Imager (OLI), Landsat 9 Operational Land Imager (OLI-2) Resolution: 30 meters Esri REST Endpoint: See Layers below. WMS Endpoint: See individual pages of layers below.

Airborne visible/infrared imaging spectrometer (AVIRIS) raster data at 2400nm covering Canada. Published by patrick_rea.

Subdivision Applications – all active and completed Subdivision applications and Soil Removal Applications since Jan 1, 2012.  Updated on a nightly basis.

Date(s) of Images: Post-Event: 7/29/2026, 7/31/2026, and 8/1/2026 Summary: Satellogic’s operates a commercial constellation of satellites and sensors that offers 4 band (R,G, B and NIR) acquisitions. True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Resolution: 0.5 m to 1 m depending on generation of sensor used and viewing angle. Credits: NASA Disasters Program, Satellogic. For derived products: “Includes copyrighted material of Satellogic. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program."

Date(s) of Images: Post-Event: 8/4/2026 Summary: Satellogic’s operates a commercial constellation of satellites and sensors that offers 4 band (R,G, B and NIR) acquisitions. True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Resolution: 0.5 m to 1 m depending on generation of sensor used and viewing angle. Credits: NASA Disasters Program, Satellogic. For derived products: “Includes copyrighted material of Satellogic. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program."