Integration of Absorption Feature Information from Visible to Longwave Infrared Spectral Ranges for Mineral Mapping

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F17%3A00000051" target="_blank" >RIV/00025798:_____/17:00000051 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3390/rs9101006" target="_blank" >http://dx.doi.org/10.3390/rs9101006</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs9101006" target="_blank" >10.3390/rs9101006</a>

Result language

angličtina

Original language name

Integration of Absorption Feature Information from Visible to Longwave Infrared Spectral Ranges for Mineral Mapping

Original language description

Merging hyperspectral data from optical and thermal ranges allows a wider variety of minerals to be mapped and thus allows lithology to be mapped in a more complex way. In contrast, in most of the studies that have taken advantage of the data from the visible (VIS), near infrared (NIR), short-wave infrared (SWIR) and long-wave infrared (LWIR) spectral range, these different spectral ranges were analysed and interpreted separately. This limits the complexity of the final interpretation. In this study a presentation is made of how, multiple absorption features, which are directly linked to the mineral composition and are present throughout the VIS, NIR, SWIR and LWIR ranges, can be automatically derived and moreover, how these new datasets can be successfully used for mineral/lithology mapping. The biggest advantage of this approach is that it overcomes the issue of prior definition of endmembers, which is a requested routine employed in all widely-used spectral mapping techniques. In this study, two different airborne image data sets were analysed, HyMap (VIS/NIR/SWIR image data) and Airborne Hyperspectral Scanner (AHS, LWIR image data). Both datasets were acquired over the Sokolov lignite open-cast mines in the Czech Republic. It is further demonstrated that even in this case, when the absorption feature information derived from multispectral LWIR data is integrated with the absorption feature information derived from hyperspectral VIS/NIR/SWIR data, an important improvement in terms of more complex mineral mapping is achieved.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20705 - Remote sensing

Project

<a href="/en/project/GA17-05743S" target="_blank" >GA17-05743S: New spectral insight into biogeochemistry of small forested watersheds</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

10

Country of publishing house

CH - SWITZERLAND

Number of pages

22

Pages from-to

Article n. 1006

UT code for WoS article

000414650600036

EID of the result in the Scopus database

2-s2.0-85032213886