Keeling Curve

Project Summary / Description:

Our technology is at the intersection of satellite imagery and machine learning, enabling powerful geospatial decision-making at scale through an easy-to-use web interface that requires minimal training. We‚ ve trained machine learning models to recognize environmental conditions like the presence of flooding, wetland health, bird habitat, irrigation intensity, agricultural best management practice, surface water flows, suitability for sustainable hydro, and much more. We then ingest satellite imagery as it is taken and process it with our aforementioned machine learning models providing near real-time updates to our end-users.

Best Estimate of GHG Avoidance/Reduction of This Project (Tonnes CO2 Equivalent/Year):

Mission Statement:

Create economic forces that drive environmental conservation. By developing large scale data processing pipelines that input satellite imagery into machine learning models, we empower our clients and partners to make data-driven decisions that optimize their management of precious natural resources. Existing solutions for these markets typically involve human intervention and expensive, manually installed physical devices. The power of Upstream‚ technology lies in its ability to cover large geographical areas with a high temporal cadence in a way that is cost effective and non-intrusive.

Link: Facebook:

http://www.upstream.tech http://www.facebook.com/upstream.tech http://www.twitter.com/upstream_tech https://www.linkedin.com/company/10488942/