Tracing Hidden Mineral Deposits: How Hyperspectral Imaging Makes Rocks 'Speak'

In the depths of the Gobi Desert in Liuyuan, Gansu Province, a geological exploration team is facing a challenge: how to accurately locate the traces of copper mines in the hundreds of square kilometers of exposed rock layers? Ten years ago, such tasks required geological team members to carry geological hammers and compasses, hike for months under the scorching sun, and identify subtle differences in rock color with the naked eye. Today, they only need to fly a drone equipped with a hyperspectral imaging camera - as the camera scans across the vast land, the "spectral fingerprints" of rocks jump on the screen, and the hidden veins of copper mines appear as if they have been enchanted.

These "spectral eyes" that penetrate the earth's surface are precisely hyperspectral imaging technology. It can not only see the spectral characteristics of minerals that cannot be captured by the human eye, but also decipher the geological code of the Earth for billions of years through the subtle reflection differences of rocks.

Deep in the Gobi Desert of Liuyuan, Gansu, a geological exploration team faces an unprecedented challenge: how can they accurately pinpoint traces of copper ore across hundreds of square kilometers of exposed rock formations? A decade ago, such a task would have required geologists to carry rock hammers and compasses, trekking for months under the scorching sun, relying on the naked eye to detect subtle variations in rock coloration. Today, they simply launch a drone equipped with a hyperspectral imager. As the sensor scans the vast terrain, the 'spectral fingerprints' of the rocks flicker across the screen, and hidden copper veins emerge as if by magic.

This 'spectral eye' that penetrates the Earth's surface is hyperspectral imaging technology. It not only captures mineral spectral characteristics invisible to the human eye but also deciphers billions of years of geological history through subtle differences in rock reflectance.

36 samples collected on site (first on the left) were analyzed and characterized in the laboratory using hyperspectral and traditional methods. Cluster the samples based on common geochemical data and automatically identify the samples (second from the left). Spectral diagram established using the reflectance of clustering materials (first from the right)

A total of 36 field-collected samples (left) were analyzed and characterized in the laboratory using both hyperspectral and traditional methods. Samples were clustered based on common geochemical data, with automated sample identification performed (second from left). Spectral graphs were constructed using the reflectance of clustered materials (right).

The core capability of hyperspectral imaging comes from its astonishing "visual sensitivity". Taking the HY-1710 series provided by Aibo Energy as an example, its spectral range covers 400-2500nm, which is equivalent to capturing a total of 460 bands of visible light, near-infrared, and shortwave infrared simultaneously. This is like installing 460 layers of filters on a camera, each layer capable of capturing the unique "light wave code" of specific minerals - such as the absorption peak of kaolinite around 2200nm.

The core capability of hyperspectral imaging lies in its remarkable 'visual sensitivity. ' Take the HY-1710 series as an example: its spectral range covers 400–2500 nm, capturing 460 bands across visible, near-infrared, and short-wave infrared wavelengths. It is as if the camera is equipped with 460 layers of filters, each capable of detecting the unique 'light-wave signature' of specific minerals—such as the absorption peak of kaolinite near 2200 nm.

Spectral curves of common alteration minerals in Skarn Deposits

In the Huaniushan polymetallic mining area in Gansu Province, a team used hyperspectral imaging to remotely detect exposed rock layers, aiming to search for new mineral resources. Through hyperspectral technology, they classified and mapped rocks, quickly identifying minerals such as lead ore and zinc ore in a vast area. In addition, the team utilized efficient image processing methods to improve the accuracy of extracting mineral data information, especially achieving an 81% mineral recognition rate in lead-zinc ore bodies. This enabled them to successfully draw a mineral classification map and identify important mineral deposits in the region.

The Huaniushan mining area has undergone multiple geological evolutions, forming complex structural features and diverse types of mineral deposits. Through hyperspectral technology, the team has not only provided scientific basis for resource exploration, but also laid a solid foundation for future mineral development and geological research. The ability to "see through crustal movements from the surface" has made hyperspectral imaging the core technology for a new round of breakthrough strategic actions in mineral exploration.

In the Huaniushan polymetallic mining area of Gansu, a team used hyperspectral imaging to conduct remote sensing detection of exposed rock formations, aiming to discover new mineral resources. Through hyperspectral technology, they classified and mapped rocks, rapidly identifying minerals such as lead and zinc ores across extensive areas. Moreover, the team employed efficient image processing methods to enhance the accuracy of mineral data extraction, achieving an 81% mineral recognition rate for lead-zinc ore bodies. This enabled them to successfully generate mineral classification maps and identify significant deposits in the region.

The Huaniushan mining area has undergone multiple phases of geological evolution, resulting in complex structural features and diverse mineral deposit types. By applying hyperspectral technology, the team not only provided a scientific basis for resource exploration but also laid a solid foundation for future mineral development and geological research. This ability to 'see through surface features to interpret crustal movements' has made hyperspectral imaging a core technology in the new strategic action for mineral exploration breakthroughs.

Mineral Distribution Map of Huaniushan Produced by the Research Team

In 2024, the Xi'an Mineral Resources Center of the China Geological Survey, in conjunction with the Aerial Geophysical and Remote Sensing Center and the Institute of Natural Resources, jointly applied for the rapid delineation technology of prospecting areas based on domestically produced hyperspectral data. It has been successfully included in the "List of Advanced and Applicable Exploration Technologies for the New Round of Mineral Exploration Breakthrough Strategic Action (First Batch)" officially issued by the China Geological Survey. What's more, the hyperspectral load of China's Gaofen 5 satellite has achieved an accuracy rate of more than 90% in mineral identification, and the team won the Outstanding Scientific Achievement Award of the Chinese Academy of Sciences in 2024.

In 2024, the Xi’an Mineral Resources Center under the China Geological Survey, in collaboration with the Aerogeophysical Survey and Remote Sensing Center and the Institute of Mineral Resources, successfully developed a rapid prospect delineation technology based on domestically produced hyperspectral data. This achievement was included in the *List of Advanced and Applicable Exploration Technologies for the New Strategic Action for Mineral Exploration Breakthroughs (First Batch)* officially issued by the China Geological Survey. It is also worth highlighting that the hyperspectral payload onboard China’s Gaofen-5 satellite has achieved over 90% accuracy in mineral identification. The team behind this effort was awarded the 2024 Outstanding Scientific Achievement Prize by the Chinese Academy of Sciences.

Hyperspectral remote sensing mineral distribution map of the East Tianshan North Mountain metallogenic belt released by Xi'an Mineral Resources Center

Hyperspectral Remote Sensing Mineral Distribution Map of the East Tianshan-Beishan Metallogenic Belt (Released by the Xi’an Mineral Resources Center)

From the Gobi Desert to deep-sea mineral deposits, hyperspectral imaging is rewriting the way humans explore the Earth. It is not only a technological innovation, but also a cognitive revolution - when we learn to listen to the spectral language of rocks, those mineral deposits that have been dormant for billions of years will eventually be unveiled, and a new energy chapter will be written for civilization.

From desert wilderness to deep-sea mineral resources, hyperspectral imaging is reshaping how humanity explores the Earth. It is not only a technological revolution but also a cognitive one—by learning to interpret the spectral language of rocks, we are unveiling mineral deposits that have slumbered for billions of years, paving the way for a new chapter in energy resources and civilizational progress.

Case source/Sources:

1. Ye Bin, Wang Jiasheng, Li Jinlong, Fu Hao The current application status and prospects of hyperspectral remote sensing technology in geological exploration [J]. Chemical Minerals and Processing, 2024, 53 (11): 77-88

2. Wan, Yq. , Fan, Yh. & Jin, Ms. Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China. Sci Rep 11, 440 (2021)

3. Li Shijie, He Haiyang, Qin Haoyang, Sun Xu, Wang Siqi, Liu Xiaoyu Xi'an Mineral Resources Survey Center of China Geological Survey Hyperspectral mineral mapping dataset for the East Tianshan Beishan metallogenic belt 2024,09

4. The rapid delineation technology for prospecting prospective areas based on domestic hyperspectral data has been selected in the "List of Advanced and Applicable Exploration Technologies for the New Round of Mineral Exploration Breakthrough Strategic Action (First Batch)"

5. Dong Xinfeng, Gan Fuping, Li Na, Yan Baikun, Zhang Lei, Zhao Jiaqi, Yu Junchuan, Liu Rongyuan, Ma Yanni. 2020. High Resolution 5 Hyperspectral Image Mineral Fine Identification Journal of Remote Sensing, 24 (4): 454-464