Grants and Contributions

This project aims to develop an AI and satellite-based tool to enhance boreal caribou habitat mapping in the Uashat Mak Mani-Utenam community, adding a spatio-temporal dimension and supporting research.

This project aims to enhance satellite-based mapping and monitoring of coastal ecosystems, with an initial focus on Eeyou Istchee, where the Cree Nation has reported habitat degradation. It will conduct R&D to improve mapping of submerged vegetation and coastal ice.

This project aims to leverage Earth observations from satellites, drones, and ground-based technologies (e.g., mobile phones) to improve the ability to quantify, map, and monitor biodiversity in the complex mosaic of land use and land management of agricultural landscapes.

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.

This project aims to develop a hyperspectral-based capability to map plant species from space, focusing on enhancing spatial resolution of hyperspectral data and assessing its effectiveness for plant species mapping.

NatureCounts, the largest biodiversity data repository in Canada, is a technology platform used to collect, analyze and share critical information on bird populations. This project aims to develop the tools needed to integrate SEO information into the collection and interpretation of biodiversity data.

The objective of this project is to contribute to Fisheries and Oceans Canada’s Arctic Sciences assessment of the impacts of climate change and human activities on the ecology of Arctic marine mammals by integrating Satellite Earth Observation data into marine ecosystem monitoring.

This project aims to develop a framework to guide investments by analyzing spatial and temporal changes in land cover and biodiversity indicators using Earth observation and AI in five case study watersheds.

This project aims to develop a web-based GIS software prototype that will provide remote sensing based algal bloom detection, algae concentration, and water quality assessments and monitoring. This technology will benefit Canadians by enabling healthier ecosystems that provide clean air, water, and local climate regulation.

As global data demands increase, traditional ground-based networks face challenges related to bandwidth, latency, and data security. To address these issues, Kepler proposes developing an Orbital Cloud Infrastructure Software Stack for its optically connected satellite constellation. This initiative establishes foundational software to enable customers to request computing resources onboard satellites, which are then scheduled and deployed onto available nodes. Initially focusing on simplified, customer-driven resource allocation and basic workload isolation, this approach optimizes satellite resources and supports scalable in-orbit data processing. The objective is to demonstrate, through ground validation, a practical orbital cloud computing environment at TRL-4, while clearly defining a path to more advanced capabilities such as dynamic workload orchestration, comprehensive multi-tenancy, and enhanced security for future phases. This technology significantly reduces barriers to entry for in-orbit data processing, enabling real-time insights and efficient bandwidth utilization across multiple industry applications.