Technology

• We seamlessly integrate traditional methods with cutting-edge technology and AI-driven tools to measure carbon stocks, biodiversity, and ecosystem services, ensuring high accuracy in a cost-effective manner.

• Advanced satellite imagery analysis and LiDAR allow us to characterize ecosystem structure at multiple spatial scales, capturing canopy height, biomass distribution, and landscape-level patterns.

• Reflectance spectroscopy (hyperspectral imaging) is used to measure leaf traits, and to scale ecological processes using principles of functional ecology, enabling the generation of biodiversity maps and the assessment of ecosystem services and resilience.

• Bio-acoustic monitoring and eDNA are cost-effective technologies to quantify species diversity.

• Air-born platform allows us to map urban green infrastructure in complex urban environments, including in private properties typically excluded from urban censuses.

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To process and interpret, we employ :

• Big data analytics: Advanced tools to manage and analyze large and complex ecological data.

• Machine learning algorithms and optimization models to identify patterns and make predictions from data.