SkyWatch Space Applications Inc.: federal grants and contributions: 11 agreements; $1.6M value; 4 departments; 7 programs.
Assay record ASY-CA-01QX9IJ0VZ · Cite as: Assay Systems, “SkyWatch Space Applications Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/skywatch-space-applications-inc/
SkyWatch Space Applications will develop a state of the art cloud-enabled cataloging, ordering, searching, processing, distribution and collaboration platform for Earth Observation (EO) data, catering to the unique needs of large organizations and governments. This will enable efficiencies by centralizing ordering, orchestrating data distribution, and secure collaboration to obtain RADARSAT Constellation Mission (RCM) and other commercial data sources. SkyWatch Space Applications will collaborate with expert remote sensing communities and large organizations who make significant use of EO data
This project aims to deliver on-demand Earth observation tools for biodiversity monitoring using the SkyWatch cloud platform, combining VAP processing, VHR landcover, and specialized data to turn optical, SAR, and hyperspectral imagery into actionable insights.
Delivery of multi-spectral cloud prediction machine learning models to be deployed and operated onboard satellites in orbit, reducing satellite operator downlink costs by up to 70%
The funding provided by the IAP program is intended to assist innovative small and medium-sized enterprises in the start-up phase that cannot access existing commercial support related to COVID-19.
RADARSAT M2M Cloud Platform The project intends to provide cloud-based processing for RADARSAT-2 and RCM via the SkyWatch platform to enable machine to machine integration. The service will facilitate Earth Observation applications combining RADARSAT data with data from other missions including Sentinel-1 and Sentinel-2 as well as very high resolution commercial products.
The SkyWatch EarthCache platform aggregates the world’s satellite data and makes it available to everyone in a simple API. Each day, 70% of the earth is covered in clouds, rendering optical satellite imagery less usable. This project leverages machine learning to address the problem of cloud cover and the shadows cast by clouds.
A Canadian SME will assess the defence sector market opportunity for its geospatial data platform, build knowledge of procurement processes and certification requirements, and explore technical adaptations needed for defence applications.
The SkyWatch EarthCache platform aggregates the world’s satellite data and makes it available to everyone in a simple API. When comparing images and other observations from different providers, various factors make it difficult to accurately detect changes from one time period to the next. We will build a system to co-register images from multiple sources to increase order fulfillment and the quality/usability of the data delivered to our customers.
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
The purpose of this CanExport Innovation (CXI) grant agreement is to support organizations and to build on targeted relationships between Canadian companies/researchers and key organizations in other countries to allow them to proceed with formal discussions to initiate collaboration(s) on future international R&D initiatives that could lead to commercialization of Canadian technologies.
Through the application of national and local priorities, the CSJ program seeks to provide youth, particularly those who face barriers to employment with access to work opportunities. Funded employers must demonstrate that they are providing quality work experiences for youth that provide opportunities to develop and improve their skills.
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.