# Forecasting the future of forests with AI: From counting losses to predicting risk

DevFeed: [Forecasting the future of forests with AI: From counting losses to predicting risk](<https://devfeed.tech/articles/forecasting-the-future-of-forests-with-ai-from-counting-losses-to-predicting-risk-6777.md>)

Original publisher: [Read original article](<https://research.google/blog/forecasting-the-future-of-forests-with-ai-from-counting-losses-to-predicting-risk/>)

Published: 2025-11-05T15:41:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Google](<https://devfeed.tech/topics/google.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [data](<https://devfeed.tech/topics/data.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [global](<https://devfeed.tech/tags/global.md>), [google](<https://devfeed.tech/tags/google.md>), [models](<https://devfeed.tech/tags/models.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

## AI overview

Google Research and Google DeepMind introduce ForestCast, a deep learning-powered benchmark and public dataset for forecasting deforestation risk. The approach uses satellite data to predict future risk consistently across regions, addressing limitations of backward-looking forest-loss monitoring and patchy, outdated input maps. The released input, training, and evaluation data are intended to support reproducibility and further research.

## Source excerpt

Climate & Sustainability