Tag: Remote Sensing

Researchers from VSB-Technical University of Ostrava, Czech Republic, along with teams from Argonne and Oak Ridge National Laboratories, have developed a machine learning model that uses satellite images to identify wildfires in remote, boreal forests like Alaska. The model employs Google Earth Engine API and PERMON and PETSc frameworks to train classification models of a maximal-margin type. The researchers are also extending the PERMON toolbox for training machine learning models, discussing adaptations of solvers for deep learning techniques, and developing machine learning approaches for processing and analyzing seismic events, supported by the Strategy AV21 project.

Pixxel, a hyperspectral imagery startup, has received a $36 million investment from Google to enhance its remote sensing and analytics capabilities. Meanwhile, NASA and Boeing face further delays to their Starliner capsule crewed flight test due to recent technical issues. Safety remains top priority for the companies and the industry in general as it moves forward with space exploration.

Pixxel raises $36M from Google-led funding for new remote sensing functions & analytics. The hyperspectral imagery startup plans to launch Firefly in 2024.

This article by research professor Jing Su from Wuhan University explores machine learning models from four different perspectives. It compares their performance against ground truth albedo values from Landsat-8 satellite data. Applying his expertise in modeling and analysis, Professor Su delves into the importance of surface albedo maps for climate modeling, agriculture, energy management and urban heat island management. Read the full article to discover more!

Nuview is a pioneering geospatial technology company that's recently come out of stealth. They're aiming to map the entire land surface of the Earth with their proprietary lidar system, utilizing a fleet of 20 commercial satellites. Nuview is making breakthroughs in both size and weight reduction and unlocking the potential of space-based lidar, leading them to close their second round of funding and sign over a billion dollars' worth of "early adopter agreements". Learn more about this ambitious project from its founder and CEO, Clint Graumann.