AI-generated Key Takeaways
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Land and Carbon Lab and Global Forest Watch are initiatives focused on monitoring and providing data related to sustainable landscapes and forests.
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The datasets provided by WRI and Google DeepMind map the dominant drivers of tree cover loss globally at 1 km resolution for various periods between 2001 and 2024.
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These datasets were developed using a global neural network model and are relevant to agriculture, deforestation, forest monitoring, and land and carbon mapping.
Land and Carbon Lab, founded by World Resources Institute and the Bezos Earth Fund in 2021, develops breakthroughs in geospatial monitoring to help governments, businesses and communities power solutions for sustainable landscapes. Global Forest Watch, established in 2014 by a consortium of partners led by the World Resources Institute, is a forest monitoring initiative that provides open access to data about the current status of forests and recent forest change.
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WRI/Google DeepMind Global Drivers of Forest Loss 2001-2022 v1.0
This dataset maps the dominant driver of tree cover loss from 2001-2022 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected … agriculture deforestation forest forest-biomass google landandcarbon -
WRI/Google DeepMind Global Drivers of Forest Loss 2001-2023 v1.1
This dataset maps the dominant driver of tree cover loss from 2001-2023 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected … agriculture deforestation forest forest-biomass google landandcarbon -
WRI/Google DeepMind Global Drivers of Forest Loss 2001-2024 v1.2
This dataset maps the dominant driver of tree cover loss from 2001-2024 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected … agriculture deforestation forest forest-biomass google landandcarbon