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CanopyMap

Forests. Quantified. Protected.

About CanopyMap

CanopyMap is an AI-powered forest monitoring platform leveraging satellite imagery and machine learning to measure tree growth, track land cover change, and support carbon offset projects. It offers real-time, high-resolution insights to help governments, NGOs, and carbon market stakeholders prevent deforestation and scale reforestation efforts.

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The Problem

Deforestation = Biodiversity loss + Climate catastrophe


Forest data collection is often manual, expensive, and error-prone


Inaccurate data undermines carbon credit markets


Policymakers and conservationists lack timely alerts


Climate mitigation efforts are slowed by poor visibility into deforestation patterns


The AI Solution

Satellite-Driven Tree Quantification

Combines open-access satellite data with AI-driven mapping

Increases tree measurement accuracy by 30%

Reduces field data collection costs by 25%


AI Models in Action

Random Forest & XGBoost: Classify forest types and land cover

Image Segmentation Models: Deep learning for precise tree canopy detection

Real-time dashboards for deforestation alerts and carbon potential estimation


Value to Carbon Markets

Verifies forest carbon stocks with AI-backed accuracy

Streamlines carbon offset project validation

Increases confidence and integrity of offset portfolios


Why It Matters

Boosts early detection rates Reduces burden on healthcare workers Saves lives with timely interventions

Business Model

B2G & B2B SaaS for environmental agencies, carbon funds, and forestry NGOs


Platform access + API for real-time forest monitoring and reporting


Tiered pricing based on hectares monitored and AI feature access

Progress So Far

Working prototype built using Google Earth Engine


Participated in 4 pitch events, including Africa Earth Observation Challenge (Kenya)


Early-stage platform running with 2 vCPUs, 2GB RAM


Planning upgrade to 8 vCPUs, 12GB RAM + 1TB storage

Support & Collaboration

Image classification + segmentation models require 8GB RAM minimum


Ideal compute: 40 GPU hours/month for initial scaling


Need upgraded infrastructure to handle full satellite data pipeline

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Support AI for Earth. Help CanopyMap power the next generation of forest intelligence across Africa.

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Vote for CanopyMap

Support AI for Earth. Help CanopyMap power the next generation of forest intelligence across Africa.

ZAR
You will receive your unique download link of the product via email.
Thank you

Thank you for voting in the Hottest African AI Startups competition!

Contact Us
Share with your family and friends