Reducing Environmental Assessment Costs with Satellite Imagery and Machine Learning

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Reducing Environmental Assessment Costs with Satellite Imagery and Machine Learning

Machine learning analysis of satellite imagery is revolutionizing environmental assessments by significantly reducing field costs and enhancing regulatory certainty. This technology allows for large-scale ecosystem analysis without the need for costly field crews, addressing vital issues like vegetation health and habitat connectivity. Environmental consulting firms, particularly AJM Environmental Inc., are leveraging these advancements to promote responsible development practices.

The application of satellite data extends beyond mere observation; it includes sophisticated techniques like the Normalized Difference Vegetation Index (NDVI) to assess vegetation health. AJM employs machine learning methods such as random forests and gradient boosting to predict vegetation stress and classify land cover with high accuracy. As satellite imagery technology evolves, the potential for addressing complex ecological challenges at scale continues to grow, positioning AJM at the forefront of this innovative field.

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