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biodiversityX

biodiversityX provides a mobile app that transforms smartphones into forestry tools, utilizing AI and a ground-satellite blended approach for real-time biomass and biodiversity insights. This platform simplifies ground data collection, eliminating the need for specialized equipment or training, thereby making forest measurement faster and more accessible for carbon projects and supply chains.

Zürich, SwitzerlandFounded 20242200+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Traditional forest measurement methods require specialized equipment, extensive training, and are often time-consuming and expensive, limiting accessibility for carbon projects and supply chain monitoring. This creates a barrier to efficient and accurate biomass and biodiversity assessment.

Solution

biodiversityX offers a mobile application that transforms smartphones into forestry tools, leveraging AI and a blended ground-satellite approach to provide real-time biomass and biodiversity insights. The application simplifies ground data collection, eliminating the need for specialized equipment or extensive training. By using a smartphone's camera and an intuitive interface, users can capture data, and the application's algorithms generate estimates of biomass, carbon storage, vegetation structure, and biodiversity. The platform utilizes Angle Count Sampling (ACS) methodology, adapting the prism-based approach to a mobile environment, enabling accurate and scalable forest measurement.

Target Audience

The primary customers are carbon project developers and supply chain managers who require faster, cheaper, and more accessible forest ground measurement.

Features

  • Mobile application that transforms smartphones into forestry tools
  • AI-powered algorithms for real-time biomass and biodiversity insights
  • Blended ground-satellite approach for comprehensive forest analytics
  • Simplified data collection using smartphone camera and intuitive interface
  • Point sampling methodology based on Angle Count Sampling (ACS)
  • Pixel-level height approach for accurate height estimation
  • Outputs include biomass/carbon storage, vegetation structure, and biodiversity metrics
This profile is AI-generated and may contain inaccuracies.