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This mosaic is calculated over the North American domain with a horizontal spatial resolution of 1 km. This mosaic therefore includes all the Canadian and American radars available in the network and which can reach a maximum of 180 contributing radars. To better represent precipitation over the...

This product shows the rain accumulation, in mm, over the last 24 hour period based on PRECIP-ET and DPQPE. For PRECIP-ET, this product is available every 10 minutes for C-Band radars and every 6 minutes for S-Band radars. For DPQPE, this product is available every 6 minutes.

The PRECIP-ET (PRECIPET on images) is an extension of the PRECIP product (hence the use of ET in the product name). Compared to the previous PRECIP product, the PRECIP-ET performs a suite of additional quality control (QC) tests and tracks issues better. For example, Doppler filters might be...

Building on the initial effort (“Database of Open Water Areas in River Ice for Provinces of Manitoba, Ontario, Quebec, and the Maritimes - Potential Locations For River Hydrokinetic Energy Extraction Identified Through Optical Satellite Imager”; weblink:...

Locations of open water within river ice in Manitoba, Ontario, Quebec, and the Maritimes were discerned manually using publicly accessible optical satellite images spanning from 2013 to 2020. This initial effort has led to a dataset pinpointing potential sites for river hydrokinetic energy...

This dataset uses RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images to identify open water regions within ice-covered rivers during winter, with the aim to assess hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation....

This dataset accompanies the open access article "Improving satellite chlorophyll-a retrieval in the turbid waters of the Bay of Fundy, Canada" published in Estuaries and Coasts (https://doi.org/10.1007/s12237-024-01334-x). A full methods description is provided in the article. Briefly, we...

Each pixel value corresponds to the actual number (count) of valid Best-quality Max-NDVI values used to calculate the mean weekly values for that pixel. Since 2020, the maximum number of possible observations used to create the Mean Best-Quality Max-NDVI for the 2000-2014 period is n=20. However,...

Each pixel value corresponds to the quality control, cloud cover and snow fraction value for each pixel in the Best-Quality Max-NDVI product.

The “Land Cover for Agricultural Regions of Canada (circa 2000), Date Index” dataset is a geospatial data layer containing polygon features representing the Landsat scene number, associated dates and other products that were incorporated into the thematic land cover classification which is...