Remote Sensing GIS Analyst

Overview

Anew seeks a GIS professional to support the forest carbon geospatial team in evaluating, executing, and monitoring forest carbon projects, with a focus on forest harvest detection and biomass change quantification.

In Short

• Specify remote sensing models to classify forest types, detect forest harvests, and quantify biomass change.
• Integrate machine learning and AI methods to improve accuracy and scalability of models.
• Support mapping and remote sensing efforts for forest carbon offset projects.
• Collect and synthesize data related to ongoing and planned forest carbon projects.
• Support modeling of forest carbon projects using ArcGIS, Python, R, or Google Earth Engine.
• Perform statistical analyses and GIS database management of forest inventories.
• Draft carbon project modeling documentation.
• Maintain project timelines and meet strict deadlines.
• Less than 10% travel is required, primarily to team events and/or conferences.

Requirements

• At least 2 years of experience in a GIS related occupation.
• Master’s degree or higher in natural sciences.
• Experience with application of machine learning algorithms for land cover classification.
• Proficiency in coding/scripting using R and/or Python and/or Google Earth Engine.
• Experience in the application of different remote sensing programs.
• Advanced proficiency with ArcGIS mapping and analysis.
• Highly self-motivated and has the ability to work both independently and in a collaborative team setting.
• Strong written and verbal communication skills.
• Expertise in project management and demonstrated ability to coordinate among various stakeholders.
• Strong interest in climate change and environmental issues.

Benefits

• Opportunity to make a significant impact in the forest carbon market.
• Work in a passionate and creative team environment.
• Engagement in meaningful climate impact projects.