Application of Multi-Source Remote Sensing Data to Nephrite Exploration in the Eastern Kunlun Range: A New Perspective for Jade Prospecting
International Journal of Applied Earth Observation and Geoinformation(2025)
Abstract
Nephrite, as a rare jewelry with a long history, holds great economic value and cultural significance. The Eastern Kunlun Range possesses immense potential for nephrite resources controlled by tectonic evolution and magmatic activities during geological periods. However, the harsh environment and backward prospecting technology have led to stagnation of the nephrite exploration in this area. Remote sensing, as a rapidly advancing technology that is sensitive to mineral identification and structural interpretation, has played a critical role in the exploration of mineral deposits. This study summarized the geological characteristics of nephrite deposits in Nachitai area of the Eastern Kunlun Range, revealing that these deposits exhibit distinct mineral assemblages, lithological, and structural features. Various satellite data, including Landsat-9, GF-5B, and ASTER GDEM, were utilized to extract geological indicators associated with ore formation and discover new exploration targets. Landsat-9 multispectral image was used to preliminarily identify the known nephrite areas through false color composite (FCC) and selective principal component analysis (SPCA). GF-5B hyperspectral data were applied to detect tremolite, dolomite, and chlorite using spectral angle mapper (SAM). ASTER Global Digital Elevation Model (GDEM) data were used for the automatic interpretation of lineaments in the study area. The mapping results show a high degree of consistency with four known open pit mines. Ultimately, fourteen target areas with potential for nephrite formation were delineated through a comprehensive analysis of lithologies, mineral assemblages, and structures within the study area. The methodology proposed here provides a new perspective for jade prospecting in remote regions worldwide.
MoreTranslated text
Key words
Nephrite,Jade,Landsat-9,GF-5,Mineral exploration,Remote sensing,Tibetan Plateau
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined