#remote-sensing

The latest AI and developer news about #remote-sensing, with the original source and a short summary.

Google ForTy Map Distinguishes Natural Forests from Plantations at 10-Metre Resolution

The system uses AlphaEarth satellite embeddings and 1.7 million labelled examples to separate natural forests, plantations, and tree crops globally.

·2026.11.01 07:00

PickAi2 Releases OlmoEarth v1.3 with State-of-the-Art Global Satellite Embeddings

The model generates 128-dimensional vectors for every 10-meter pixel on Earth, outperforming AlphaEarth Foundations and Tessera v2 across six continents.

·1·2026.10.23 01:00

Google and NASA Release AI 'MAPL-EMIT' for Methane Leak Detection

Google and NASA JPL released MAPL-EMIT, a deep learning model trained on synthetic data, which discovered approximately 1.5 times more methane plumes than existing methods.

·1·2026.09.11 11:00

OlmoEarth v1.1 Cuts Compute by 3x

AllenAI released the remote sensing model OlmoEarth v1.1, cutting compute costs by up to 3x.

·2026.05.20 03:00

Creating a new satellite imagery map to protect Brazil's forests

Google has released a high-resolution satellite map of Brazil as of 2008 to help protect its forests.

·1·2026.04.01 22:00

Maximizing the Potential of Vision Language Models (VLM) for Satellite Imagery Through Fine-tuning

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.

·2025.09.02 09:00