crossrefRemote Sensing2026-07-02
Bloom or Bluff? Benchmarking Vision–Language Models Against Classical Machine Learning for Harmful Algal Bloom Detection from Satellite Imagery
In recent years, there has been growing interest in applying vision–language models (VLMs) to quantitative remote sensing. This study evaluates whether three commercial VLMs (GPT-4o, GPT-5.5, and Claude Sonnet 4.6) can detect and classify the severity of harmful algal blooms (HAB…