Forecasting Lithium Mine Output Using Satellite Data
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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.
Details
| Original language | English |
|---|---|
| Article number | 107433 |
| Journal | Finance Research Letters |
| Volume | 81 |
| Early online date | 16 Apr 2025 |
| Publication status | Published - Jul 2025 |
| Peer-reviewed | Yes |
External IDs
| ORCID | /0000-0002-0576-7759/work/183166127 |
|---|---|
| ORCID | /0000-0003-4566-3986/work/183166145 |
| Scopus | 105004932144 |