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Innovative Study Revolutionizes Carbon Stock Measurement Using Satellite Imagery

A new study introduces a method for estimating above-ground carbon at an individual tree level using VHR satellite imagery and machine learning algorithms. This breakthrough innovation promises to revolutionize carbon cycle research, improve land management strategies, and provide essential data for climate change mitigation efforts.

Innovative Study Revolutionizes Carbon Stock Measurement Using Satellite Imagery

This news matters as it introduces a groundbreaking method for accurately estimating above-ground carbon at an individual tree level, offering hope for improved land management strategies and climate adaptation efforts globally. The study's innovative approach could significantly enhance our understanding of carbon sequestration dynamics and support policymakers in addressing pressing environmental challenges.

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Contract Address0x0553B273B8eBf464Bd2a37C259F0eEBb3d70Fd71
Transaction ID0x7eb1084711004a18f2fa8ebd1bb9b0fa0bcd29d57a27afa514a48858216c6754
Account0xdBdE7c76e403a5923F3dD4F050Dbbf5c2077BB20
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