International Journal of Remote Sensing, pages 1-20

Hyperspectral Inversion of Li ₂ O Content in Clay Lithium Ore Cores Based on FOD and GA-XGBoost

Yan Li ^{1, 2}

Yuan Xiping ^{1, 3}

Shu Gan ¹

Changsi Mu ⁴

Qianwei Liu ²

Yanying Wang ²

Kunming University of Science And Technology |

Yunnan Satellite Remote Sensing Technology Application Engineering Center

West Yunnan University of Applied Sciences |

⁴

209 Geological Brigade of Nuclear Industry of Yunnan Province

Publication type: Journal Article

Publication date: 2025-02-15

Taylor & Francis

Journal: International Journal of Remote Sensing

scimago Q1

SJR: 0.776

CiteScore: 7.0

Impact factor: 3

ISSN: 01431161, 13665901

DOI: 10.1080/01431161.2025.2463701

Copy DOI

Found

Create a profile to get free access to personal recommendations for colleagues and new articles.

Metrics

Cite this

GOST | RIS | BibTex

Found error?

Publisher

Taylor & Francis

Journal

scimago Q1

SJR

0.776

CiteScore

7.0

Impact factor

ISSN

01431161 (Print)

13665901 (Electronic)

Hyperspectral Inversion of Li 2 O Content in Clay Lithium Ore Cores Based on FOD and GA-XGBoost