Mapping of jasperoid in the Cedar Mountains, Utah, U.S.A., using imaging spectrometer data-Reference-Cited by-同舟云学术

Mapping of jasperoid in the Cedar Mountains, Utah, U.S.A., using imaging spectrometer data

Published:1995-04 Issue:6 Volume:16 Page:1021-1041
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

MURPHY R. J.¹

Affiliation:

1. a Plymouth Marine Laboratory , Prospect Place , West Hoe, Plymouth, Devon, PL1 3DH, England, U.K

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431169508954461

Reference23 articles.

1. Airborne imaging spectrometer data of the Ruby Mountains, Montana: Mineral discrimination using relative absorption band-depth images

2. EL-SHATOURY , H. M. , and WHELAN , J. A. , 1970 , Mineralization in the Gold Hill mining district , Tooele County , Utah , Salt Lake City Utah Geological and Mineralogical Survey Publication , pp. 4 – 36 .

3. Visible and near infrared reflectance characteristics of dry plant materials

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geology and geochemistry of jasperoids from the ‘Montaña de Manganeso’ district, San Luis Potosí, north-central Mexico;Revista Mexicana de Ciencias Geológicas;2021-11-24

2. Image and Point Data Fusion for Enhanced Discrimination of Ore and Waste in Mining;Minerals;2020-12-10

3. Multistage fluid sources and evolution of Qinglong Sb-(Au) deposit in northern margin of Youjiang basin, SW China: REE geochemistry and Sr-H-O isotopes of ore-related jasperoid, quartz and fluorite;Ore Geology Reviews;2020-12

4. Automated Multi-class Classification of Remotely Sensed Hyperspectral Imagery Via Gaussian Processes with a Non-stationary Covariance Function;Mathematical Geosciences;2015-12-04

5. Mapping of NiCu–PGE ore hosting ultramafic rocks using airborne and simulated EnMAP hyperspectral imagery, Nunavik, Canada;Remote Sensing of Environment;2014-09