Time-series analysis demonstrates high temporal consistency of orbital mineral maps across global arid regions, providing a statistical framework for long-term geological monitoring.
NASA’s Earth Surface Mineral Dust Source Investigation (EMIT) imaging spectrometer, operating on the International Space Station, has produced the first hectare-scale mineral maps of Earth’s arid regions. This study assesses the temporal consistency of these maps and tests for changes in surface mineralogy over the first two years of data collection. We fit a discrete-state Hidden Markov Model (HMM) to time series data from 39 globally distributed study sites to quantify measurement noise and distinguish sensor artifacts from real mineralogical changes. Our findings indicate that mineral classifications are highly repeatable, showing 80%–98% consistency depending on the specific mineral. We then use the HMM framework to test for transitions in surface mineralogy. This research provides a principled statistical basis for interpreting EMIT mineral products and combining noisy remote time series observations into unified mineral maps.
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Guillaumont et al. (2026) studied this question.
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