Verst Carbon is a carbon markets technology provider and project developer. We exist to scale Africa’s participation in carbon markets for the improvement of lives and livelihoods on the continent.

Read more about this company

Verst Carbon Limited is recruiting short-term consultants and field personnel for a nature-based project in Kenya. These are part-time, assignment-based engagements, with roles expected to commence at various points between September and December 2026

Role Overview:

The GIS/Data Officer manages the spatial database and cartographic outputs, supporting the planning and analysis phases of the carbon inventory.

Key Responsibilities:

Stratification & Sampling Design:

Utilize Landsat, Sentinel, or high-resolution imagery to develop land-use/land-cover (LULC) maps and stratify areas for efficient sampling.

Plot Location:

Generate random or systematic sampling points and export them to field GPS units.

Spatial Analysis:

Conduct spatial analyses to estimate forest degradation, deforestation, and regrowth over time.

Database Management:

Maintain a centralized geodatabase for all inventory plots, boundaries, and carbon pools.

Map Production:

Produce high-quality thematic maps (vegetation types, carbon stock density, land-use change) for internal reporting and stakeholder engagement.

Data Integration:

Convert field-collected data (tabular) into spatial layers for visualization and reporting to the validation team.

• Utilize Landsat, Sentinel, or high-resolution imagery to develop land-use/land-cover (LULC) maps and stratify areas for efficient sampling.
• Generate random or systematic sampling points and export them to field GPS units.
• Conduct spatial analyses to estimate forest degradation, deforestation, and regrowth over time.
• Maintain a centralized geodatabase for all inventory plots, boundaries, and carbon pools.
• Produce high-quality thematic maps (vegetation types, carbon stock density, land-use change) for internal reporting and stakeholder engagement.
• Convert field-collected data (tabular) into spatial layers for visualization and reporting to the validation team.

• GIS software proficiency
• Spatial database management
• Cartographic skills
• Data analysis
• Remote sensing imagery analysis (Landsat, Sentinel, high-resolution)
• GPS data handling
• Data integration and visualization

• BA/BSc/HND in a relevant field (e.g., Geography, Environmental Science, Geomatics, Computer Science)