Northern America

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On 12 June 2019, a trio of identical Canadian Earth observation satellites, which will help monitor climate change and save lives during natural disasters, among other applications, were successfully launched into space from a SpaceX Falcon 9 rocket.  

The satellites, collectively referred to as the RADARSAT Constellation Mission (RAM), follow the legacy of over two decades of Canadian RADARSAT satellites that have provided important insights about the Earth’s surface. RAM builds upon this foundation and will provide increased information for researchers to better understand our planet. According to a news release from the Canadian Space Agency, “The constellation of three satellites will provide daily images of Canada's vast...

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Publishing date 21/06/2019

The Canadian Space Agency and the Canada Centre for Mapping and Earth Observation have released 36,500 RADARSAT-1 images, which are available at no cost on the Government of Canada’s Earth Observation Data Management System. Having aided relief operations in 244 disaster events through the images it captured, the Canadian RADARSAT-1 satellite now has the opportunity to reach a broad pool of researchers, industry members, and the general public with its photos of the Earth’s surface.  

Launched in November 1995, RADARSAT-1 was Canada’s first Earth observation...

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Publishing date 27/05/2019

An integrated data platform has been created to bring together a wide variety of in situ and remotely-sensed soil moisture data sets to better inform disaster response planners, climate scientists and meteorologists, farmers, and others. The Soil Moisture Visualizer (SMV) is provided as an open and free data access tool from the NASA Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC).

Accurate and timely information on soil moisture is critical for research in agriculture, flooding, forest health, water quality, and modeling of the global carbon and water cycles, as well as being able to alert farmers to crop stress.

Data from in situ sensor networks have high temporal and spatial resolution, however they cover limited areas, whereas remote sensing and data assimilation methods provide information across broad spatial scales, but with higher uncertainty. Combining...

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Publishing date 18/02/2019
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