Mineral mapping with HYperspectral Digital Imagery Collection Experiment (HYDICE) sensor data at Cuprite, Nevada, U.S.A.

$61.20 plus tax (Refund Policy)

Buy Article:

Abstract:

Abstract. The areal distributions of the minerals alunite, kaolinite, and calcite in an approximately 1.8km 2 area of the Cuprite mining district, Nevada, have been mapped by applying constrained energy minimization (CEM) to remotely sensed data from the HYperspectral Digital Imagery Collection Experiment (HYDICE) sensor, a 210 channel, 0.4 mum to 2.5 mum airborne hyperspectral imaging spectrometer. The image data analysed here have ground sample distances of approximately 3 m. CEM is a powerful and rapid technique for mineral mapping which requires only the spectrum of the mineral to be mapped and no prior knowledge of background constituents. Other spectral image processing techniques applied to the data produce results essentially identical to those of CEM and which agree with the mapping of Ashley and Abrams (1980).

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/014311697218278

Publication date: May 10, 1997

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more