PROJECTS
OBJECTIVE
We implement practical community-based AI solutions that improve the health and welfare of the communities we live in and the planet we live on. Together with our partners, we deploy these solutions to improve health and welfare, reduce inequality, fight climate change, and aid conservation efforts that protect endangered species and preserve our oceans and forests.
OUR PROJECTS
We are working on several exciting projects that utilizes remote sensing data from low earth orbit satellites and computer vision to aid on the ground conservation efforts. Remote areas in the jungle are difficult to patrol and often put a strain on the limited resources of conservationists. Added to that the overall lack of data on changes in the forest and movement of animals make it difficult to accurately count species and measure conservation efforts. With our technology and satellite partners we are utilizing computer vision models to monitor and detect changes in the forest canopy to map the extent and spread over time of invasive plant species. The goal of these projects is to automatically generate quality metrics and data on changes in the forest canopy, prove the viability of utilizing satellite imagery and machine learning models in a cost-efficient and scalable manner to support conservation efforts.
HISTORICAL ANALYSIS UTILIZING SATELLITE IMAGERY AND MACHINE LEARNING
Pu Mat National Park
We are collaborating with Save Vietnam Wildlife to map the Pu Mat National Park, located in Nghệ An Province in Vietnam's North Central Coast region. By utilizing historical satellite imagery and Machine Learning technology we aim to categorize the park, such as vegetation types. This data will then be utilized to track changes in the park's composition over time, allowing for future prediction of potential negative impacts the external and internal environment might have on the remaining wildlife in the park.
PROJECT SUPPORTERS
IMPROVE CONSERVATION MANAGEMENT THROUGH MACHINE LEARNING & REMOTE SENSING
Mu Chan Chai Forest
Mu Chang Chai Forest in Northern Vietnam is home to some of the of the last remaining spices of two critically endangered primates, the Western Black Crested gibbon and Tonkin Snub-nosed monkey. We are collaborating with Fauna & Flora International to aid in their conservation efforts to prevent their extinction, together with our technology partner Crayon. By tracking and monitoring changes in the canopy cover utilizing Machine Learning on Remote Sensing data, we are able to give on-the-ground conservationists accurate data on where and when forest degradation is taking place for them to prevent further damage to this fragile ecosystem.
Photography by: Zhao Chao
PROJECT SUPPORTERS
CONTACT US TO LEARN MORE
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