Remote Sensing Specialist
Regen Network Development, Inc, United States

By providing a way to track, verify, and reward regeneration at scale, Regen Network accelerates a new multi-billion dollar regenerative agriculture market that realigns economic health with ecological well being. Using a distributed ledger and modern remote sensing technology, our team is creating new tools for how humanity relates to its environment. Regen Network is building an open, peer-to-peer scientific data and methodology commons in service to cutting edge earth observation science for climate action. The Regen Registry allows organizations to make agreements with a global network of land stewards: farmers, foresters, and conservationists whose work results in clean air and water, enhanced biodiversity, long term carbon storage, and other ecosystem services.

To get a better idea of who we are and the scope of our ambitious project, we invite you to watch the introductory video at https://www.regen.network, or read our blog https://medium.com/regen-network.

Geospatial analysts engage with Regen Network as independent contractors hired to our team or offer their services to our network of projects as independent contractors, approved as monitors on Regen Registry. Regen Network acts as a broker for these services.

Monitors will apply earth observation science to track regenerative practices and measure ecological change. Monitors will measure ecosystem health indicators, such as carbon sequestration, landscape diversity, and land conversion, using Regen Network developed methodologies for nature-based solutions.

The role is for GIS analysts, remote sensing specialists, and applied scientists seeking to participate in this unique endeavor. The position will start at 20 hours a week.

• Demonstrated experience in GIS and/or remote sensing, with preferred experience planning or managing GIS projects
• Proficiency in Python, or in another scientific programming language, with the ability to quickly pick up new technical skills
• Strong problem solving skills, with the ability to research, develop, and implement solutions to novel problems using peer reviewed literature and existing geospatial tools
• Expertise with machine learning and spatial interpolation algorithms used in geospatial analyses
• Experience planning and managing GIS projects in agriculture and/or conservation
• Strong organizational and data management skills
• Degree (BS/MS/PhD) in relevant field preferred
• Self-motivated and able to work independently and on a team
• High attention to detail
• Excellent communication skills with both internal and external stakeholders
• BONUS:
  • Ability to develop, test, debug and maintain custom GIS applications and tools using Python and Javascript

Requirements

• Implement the Regen Network remote sensing methodologies for grasslands projects and forestry projects for clients, such as individual land stewards or project developers
• Analyze satellite image data, using statistical analysis and machine learning using Geographic Information Systems (GIS) such as ArcGIS, ENVI, GDAL and Python to evaluate and analyze data obtained from remote sensing systems
• Document and develop results from both basic and applied scientific and technical research for use in monitoring reports
• Use statistical analysis and machine learning to analyze geospatial data and uncover underlying trends in ecological processes
• Ensure that data obtained from remote sensing systems meets quality assurance guidelines outlined in methodologies
• Work with project managers to communicate progress to clients and translate the result of scientific analyses into actionable insights
• Actively participate as a member of our growing monitor community, communicating your ideas, insights, and feedback and helping to continuously improve the monitoring process

Benefits

In our mission to create an open source science community, the science team is actively collaborating with a consortium of farmers, scientists, researchers, and engineers all respected for their open source work. Our partnerships with organizations like OpenTEAM and the Yale Openlab provide the opportunity to work alongside experts with decades of experience in sustainability and regenerative ecology who are more than happy to share insights as we all create paths to a positive future.

*this is a part time role (15-25 hrs a week). Hourly pay

Job Rewards and Benefits