Airplane detection
Deep learning-based airplane detection from high-resolution satellite imagery
Automated Dust detection in satellite imagery
Application of machine learning to the problem of night-time dust detection with a simple random forest (RF) model using Geostationary Operational Environmental Satellite-16 (GOES…
Deep Learning-based Hurricane Intensity Estimator
A web-based situational awareness tool that uses deep learning on satellite images to objectively estimate windspeed of a hurricane
GCMD Keyword Recommender (GKR)
Natural Language Processing-based science keyword suggestion tool
Marine debris detection using deep learning and high resolution satellite images
Floating marine debris is a global pollution problem which threatens marine and human life and leads to the loss of biodiversity. Large swaths of marine debris are also navigation…
Near-Reality Slosh Model using AIML
Liquid slosh for aircraft and spacecraft is a highly challenging topic; traditional slosh modeling & simulation approaches are very computationally expensive. This project seeks t…
Phenomena Detection Portal
A system that detects Earth science phenomena from the image archives using deep learning to provide efficient search and discovery of Earth science events
Pixel-Level Smoke Detection Model with Deep Learning
Automated, deep learning based detection model capable of identifying smoke plumes from shortwave reflectance for the Geostationary Operational Environmental Satellite R series of…
Predicting streamflow with deep learning
Uses a long short-term memory model to predict streamflow at USGS gauges sites
Ship detection
Deep learning-based ship detection from high-resolution satellite imagery
Sinatra Software for Anomaly Detection
Flexible software framework that analyzes various input sources of data and detects anomalies. Automates neural network model creation and tuning.
ImageLabeler
Web-based Collaborative Machine Learning Training Data Generation Tool
Oceanic cold pool detection using scatterometer winds
Use a U-Net convolutional neural network to detect oceanic cold pools in spaceborne scatterometer wind observations.
Similarity Search for Earth Science Image Archive
Self Supervised Based Learning approach to search image archives using a query image
PASSION Computer
To develop a pipeline for processing raw overlappagram (other word?) images through the various data products. To produce the final data product in a timely manner.
Instantaneous Clarity of Ambient eNvironment Capability (ICAN-C)
To determine the applicability of using AI/ML to correct obscured vision. Landing systems where sedement is blown around and/or dusty environments are the primary application.
Trajectory mission design
We use ML for a lot of different things. First, and most importantly, we use ML to estimate initial conditions for POST and Copernicus for mission design. We've also used ML for i…
Friction Stir Weld Control
The AI agent monitors the telemetry and supplements the human controlling the Self-Reacting Friction Stir Weld by sending updated trim commands to fine tune the weld parameters to…
Reinforcement Learning for Lunar Lander Real Time Optimal Trajectory
The proposal's objective is to apply RL for real-time optimal guidance and control in spacecraft systems, aiming to enhance efficiency, robustness, and autonomy.
Coupled Loads Analysis Research Assistant (CLARA)
chat assistant to support loads analysts during computation.
SERVIR Applied Deep Learning Book
The focus of the Applied Deep Learning Book is to provide practitioners with a wide variety of applied examples of Remote Sensing Deep Learning approaches. With each chapter focus…
Large language models for food security outlooks
USAID Famine Early Warning Network (FEWSNET) produces food security outlooks and bulletins that can complement the perspective of Earth observations. We are exploring how large la…
Foundation model for Weather and Climate
Custom network design that uses MERRA data to learn the atmospheric processes. The Foundation Model can then be adapted to for many different applications including downscaling an…
Foundation Model for Helio Physics
AI Foundation for Heliophysics to enable the research community build AI application on the SDO data sets