Forecasting lithium mine output using satellite data

Lars Hornuf, Johannes Klerner, Denis Schweizer and Daniel Vrankar

Finance Research Letters, 2025, vol. 81, issue C

Abstract: This article examines whether data from remote sensing satellites can be used to predict lithium mine output. We use pixel classification of land cover to measure long-term mine expansion and nightly light emissions to measure short-term operational activities. We find a strong correlation between satellite data in one period and individual lithium mine production volumes in the following period. Our rapid and cost-effective method of forecasting lithium mine production can help decision-makers in companies that rely on lithium, and policymakers seeking to ensure adequate lithium supplies in their countries.

Keywords: Satellite data; Remote sensing; Mines; Lithium; Forecasting (search for similar items in EconPapers)
JEL-codes: G17 L61 L72 Q02 Q31 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:81:y:2025:i:c:s1544612325006932

DOI: 10.1016/j.frl.2025.107433

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