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Google Earth Engine

PulseAugur coverage of Google Earth Engine — every cluster mentioning Google Earth Engine across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 10 TOTAL
  1. SIGNIFICANT · CL_234509 ·

    Google AI launches WeatherNext 3 with 5x sharper forecasts

    Google AI has unveiled WeatherNext 3, an advanced global weather AI model developed by Google DeepMind and Google Research. This new model offers prediction capabilities up to five times sharper than its predecessor, We…

  2. FRONTIER RELEASE · CL_234346 ·

    Google DeepMind launches WeatherNext 3 AI for hyper-accurate hourly weather forecasts · 8 sources tracked

    Google DeepMind has launched WeatherNext 3, an advanced AI model for global weather forecasting. This new model significantly improves accuracy and resolution by learning directly from real-time satellite observations, …

  3. TOOL · CL_230684 ·

    Google AI uses deep learning to map global methane emissions from space

    Google Research has developed a deep-learning framework called MAPL-EMIT to automate the detection and quantification of methane plumes from satellite data. This new approach, detailed in a PNAS publication, significant…

  4. RESEARCH · CL_221242 ·

    Google AI automates global prediction models with new Planetary Prediction Engine

    Google Research has introduced the Planetary Prediction Engine (PPE), an experimental AI system designed to automate the entire geospatial modeling workflow. This system autonomously handles tasks from data discovery an…

  5. TOOL · CL_200294 ·

    Deep embeddings boost tree species classification accuracy in Dutch forest inventory

    A new research paper explores the use of deep embeddings from pre-trained remote sensing models to improve tree species classification in the Netherlands' National Forest Inventory. The study found that these deep embed…

  6. TOOL · CL_198091 ·

    AI and remote sensing track Dhaka's rapid urbanization and environmental shifts

    A new study published on arXiv details the use of remote sensing and machine learning to analyze land use and vegetation changes in Dhaka District, Bangladesh, between 2019 and 2024. The research employed satellite imag…

  7. TOOL · CL_181492 ·

    Gamuda Berhad uses AI and satellite tech for environmental monitoring

    Gamuda Berhad has developed a digital monitoring system called SIGMA to enhance environmental accountability in its construction projects. This system utilizes satellite-based geospatial monitoring and environmental DNA…

  8. TOOL · CL_97989 ·

    ROSA-TFormer model achieves high accuracy in classifying pine plantations using satellite data

    Researchers have developed ROSA-TFormer, a novel Transformer model designed for classifying Pinus sylvestris plantations using a combination of radar and optical satellite imagery. This model integrates separate branche…

  9. RESEARCH · CL_76906 ·

    Deep learning framework estimates InSAR coherence from SAR images

    Researchers have developed a deep learning framework capable of estimating InSAR coherence directly from detected SAR images, eliminating the need for precise coregistration. A Residual U-Net model was trained on Sentin…

  10. RESEARCH · CL_01721 ·

    Google DeepMind launches WeatherNext 2, an AI model for faster, more accurate weather forecasts

    Google DeepMind has unveiled WeatherNext 2, an advanced AI model for weather forecasting that generates predictions 8x faster and with hourly resolution. This new model, built on a Functional Generative Network (FGN) ap…