EMIT Sensor: A New Era for Tracking Plastic Pollution

NASA's Earth Surface Mineral Dust Source Investigation (EMIT) sensor, located on the International Space Station, demonstrated the capability to detect concentrations of plastic pollution on land in 2025. This significant development has prompted marine researchers to investigate its potential for tracking debris in ocean environments.

Overcoming Ocean Challenges with a New Reference Library

Detecting plastic in the ocean presents unique challenges because seawater absorbs infrared light, which can obscure plastic's distinct spectral features. To address this, NASA intern Ashley Ohall, in collaboration with other researchers, developed a newly published reference library.

This library contains nearly 25,000 molecular "fingerprints" from various types of flotsam and jetsam, including 19 types of polymers due to plastic's prevalence in marine debris.

EMIT's Technology and Proven Capabilities

The EMIT instrument, launched in 2022 to map minerals in desert regions, identifies hundreds of compounds on Earth through unique spectral patterns in reflected sunlight. This advanced imaging spectroscopy technology, developed at NASA's Jet Propulsion Laboratory, has already shown its capacity to locate plastic compounds in landfills and structures like greenhouses.

The Importance of Open-Source Data

The open-source debris library is essential for developing robust detection algorithms, as different debris types have varying spectra based on material, color, and condition. A better understanding of debris location and movement, facilitated by remote sensing, could offer substantial benefits for public health and coastal tourism.

Advancing Beyond Conventional Methods

Conventional methods for quantifying ocean plastic, such as dragging nets, are proving insufficient for the millions of tons of plastic entering the ocean annually. In response, NASA-supported scientists are actively evaluating existing sensors and identifying necessary advancements for marine debris detection. This includes training AI tools for analyzing satellite imagery, recognizing the initiative as a significant, planet-scale endeavor.