Mineral mapping on the Chilean-Bolivian Altiplano using co-orbital ALI, ASTER and Hyperion imagery: Data dimensionality issues and solutions [An article from: Remote Sensing of Environment] Buy on Amazon

https://www.ebooknetworking.net/books_detail-B000RR6RLC.html

Mineral mapping on the Chilean-Bolivian Altiplano using co-orbital ALI, ASTER and Hyperion imagery: Data dimensionality issues and solutions [An article from: Remote Sensing of Environment]

8.95 USD
Buy New on Amazon 🇺🇸

Available for download now

Book Details

PublisherElsevier
ISBN / ASINB000RR6RLC
ISBN-13978B000RR6RL4
AvailabilityAvailable for download now
Sales Rank9,629,998
MarketplaceUnited States  🇺🇸

Description

This digital document is a journal article from Remote Sensing of Environment, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Hyperspectral data coverage from the EO-1 Hyperion sensor was useful for calibrating Advanced Land Imager (ALI) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images of a volcanic terrane area of the Chilean-Bolivian Altiplano. Following calibration, the ALI and ASTER datasets were co-registered and joined to produce a 13-channel reflectance cube spanning the Visible to Short Wave Infrared (0.4-2.4 @mm). Eigen analysis and comparison of the Hyperion data with the ALI+ASTER reflectance data, as well as mapping results using various ALI+ASTER data subsets, provided insights into the information dimensionality of all the data. In particular, high spectral resolution, low signal-to-noise Hyperion data were only marginally better for mineral mapping than the merged 13-channel, low spectral resolution, high signal-to-noise ALI+ASTER dataset. Neither the Hyperion nor the combined ALI+ASTER datasets had sufficient information dimensionality for mapping the diverse range of surface materials exposed on the Altiplano. However, it is possible to optimize the use of the multispectral data for mineral-mapping purposes by careful data subsetting, and by employing other appropriate image-processing strategies.
Donate to EbookNetworking
Prev
Next