AI Briefing#satellite-imagery
The latest AI and developer news about #satellite-imagery, with the original source and a short summary.
The latest AI and developer news about #satellite-imagery, with the original source and a short summary.
The model generates 128-dimensional vectors for every 10-meter pixel on Earth, outperforming AlphaEarth Foundations and Tessera v2 across six continents.
Google is developing an AI-based early warning system using the FireSat satellite constellation to detect wildfires globally every 20 minutes.
Google and Cathay Pacific reduced warming impact by 40% through AI-based contrail avoidance trials on ultra-long-haul flights in the Asia-Pacific region.
Ai2 has unveiled a geospatial foundation model and inference platform that processes large-scale satellite data.
AllenAI released the remote sensing model OlmoEarth v1.1, cutting compute costs by up to 3x.
Google has released a high-resolution satellite map of Brazil as of 2008 to help protect its forests.
This covers a method for maximizing the analysis performance of Vision Language Models (VLM) through fine-tuning that reflects the unique characteristics of satellite imagery.
Applying LoRA fine-tuning to the Pixtral-12B model dramatically improved satellite image classification performance.