Monitoring Biodiversity Through Remote Sensing

ML algorithms can process data from satellite imagery and remote sensors to monitor changes in biodiversity over large areas. This application provides a cost-effective and comprehensive means of tracking ecosystem changes, including deforestation, habitat fragmentation, and the impacts of climate change.

ML algorithms can process data from satellite imagery and remote sensors to monitor changes in biodiversity over large areas. This application provides a cost-effective and comprehensive means of tracking ecosystem changes, including deforestation, habitat fragmentation, and the impacts of climate change.

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