Rock mapping of glaciated areas by satellite image processing

A model is presented that performs spectral deicing of mixed pixels in satellite images of glaciated areas. The model was tested in Northern Victoria Land, Antarctica. For this region we assumed that pixels could be grouped in two broad categories representing pure ice and pure rock. Naturally mixed...

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Published in:Polar Research
Main Authors: Francesco Mazzarini, Roberto Della Maggiore, Francesco Salvini, Luciano Fortunati
Format: Article in Journal/Newspaper
Language:English
Published: 1994
Subjects:
Online Access:https://www.openaccessrepository.it/record/123913
https://doi.org/10.3402/polar.v13i1.6678
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record_format openpolar
spelling ftopenaccessrep:oai:zenodo.org:123913 2023-10-29T02:31:28+01:00 Rock mapping of glaciated areas by satellite image processing Francesco Mazzarini Roberto Della Maggiore Francesco Salvini Luciano Fortunati 1994-01-06 https://www.openaccessrepository.it/record/123913 https://doi.org/10.3402/polar.v13i1.6678 eng eng url:https://www.openaccessrepository.it/communities/itmirror https://www.openaccessrepository.it/record/123913 doi:10.3402/polar.v13i1.6678 info:eu-repo/semantics/openAccess Rural Digital Europe NEANIAS Atmospheric Research Community Earth and Planetary Sciences (miscellaneous) General Environmental Science Environmental Chemistry Oceanography info:eu-repo/semantics/article publication-article 1994 ftopenaccessrep https://doi.org/10.3402/polar.v13i1.6678 2023-10-03T22:18:58Z A model is presented that performs spectral deicing of mixed pixels in satellite images of glaciated areas. The model was tested in Northern Victoria Land, Antarctica. For this region we assumed that pixels could be grouped in two broad categories representing pure ice and pure rock. Naturally mixed ice and rock pixels are present in satellite images; these were recomputed to separate the spectral component related to the rock fraction. We used Landsat TM images as input data and aerial photographs, maps and field surveys as reference data. By making use of sample populations of pixels corresponding to pure ice and to pure rock groundels (i.e. ground elements, the ground portions corresponding to each pixel), we detected the linear correlation between pairs of bands and selected the two most suitable bands. For every pixel falling between the correlation lines of the two categories, the rock fraction in the corresponding groundel was computed. This fractional value was then used to perform the automatic deicing process with which the DNs of the selected mixed pixels were recomputed. In the utilised Antarctic image, this process increases about 2.7 times the number of pixels in the pure rock category, allowing the production of enhanced images and, as a side product, a thematic map of rock percentage in the groundels. Article in Journal/Newspaper Antarc* Antarctic Antarctica Victoria Land Istituto Nazionale di Fisica Nucleare (INFN): Open Access Repository Polar Research 13 1 23 33
institution Open Polar
collection Istituto Nazionale di Fisica Nucleare (INFN): Open Access Repository
op_collection_id ftopenaccessrep
language English
topic Rural Digital Europe
NEANIAS Atmospheric Research Community
Earth and Planetary Sciences (miscellaneous)
General Environmental Science
Environmental Chemistry
Oceanography
spellingShingle Rural Digital Europe
NEANIAS Atmospheric Research Community
Earth and Planetary Sciences (miscellaneous)
General Environmental Science
Environmental Chemistry
Oceanography
Francesco Mazzarini
Roberto Della Maggiore
Francesco Salvini
Luciano Fortunati
Rock mapping of glaciated areas by satellite image processing
topic_facet Rural Digital Europe
NEANIAS Atmospheric Research Community
Earth and Planetary Sciences (miscellaneous)
General Environmental Science
Environmental Chemistry
Oceanography
description A model is presented that performs spectral deicing of mixed pixels in satellite images of glaciated areas. The model was tested in Northern Victoria Land, Antarctica. For this region we assumed that pixels could be grouped in two broad categories representing pure ice and pure rock. Naturally mixed ice and rock pixels are present in satellite images; these were recomputed to separate the spectral component related to the rock fraction. We used Landsat TM images as input data and aerial photographs, maps and field surveys as reference data. By making use of sample populations of pixels corresponding to pure ice and to pure rock groundels (i.e. ground elements, the ground portions corresponding to each pixel), we detected the linear correlation between pairs of bands and selected the two most suitable bands. For every pixel falling between the correlation lines of the two categories, the rock fraction in the corresponding groundel was computed. This fractional value was then used to perform the automatic deicing process with which the DNs of the selected mixed pixels were recomputed. In the utilised Antarctic image, this process increases about 2.7 times the number of pixels in the pure rock category, allowing the production of enhanced images and, as a side product, a thematic map of rock percentage in the groundels.
format Article in Journal/Newspaper
author Francesco Mazzarini
Roberto Della Maggiore
Francesco Salvini
Luciano Fortunati
author_facet Francesco Mazzarini
Roberto Della Maggiore
Francesco Salvini
Luciano Fortunati
author_sort Francesco Mazzarini
title Rock mapping of glaciated areas by satellite image processing
title_short Rock mapping of glaciated areas by satellite image processing
title_full Rock mapping of glaciated areas by satellite image processing
title_fullStr Rock mapping of glaciated areas by satellite image processing
title_full_unstemmed Rock mapping of glaciated areas by satellite image processing
title_sort rock mapping of glaciated areas by satellite image processing
publishDate 1994
url https://www.openaccessrepository.it/record/123913
https://doi.org/10.3402/polar.v13i1.6678
genre Antarc*
Antarctic
Antarctica
Victoria Land
genre_facet Antarc*
Antarctic
Antarctica
Victoria Land
op_relation url:https://www.openaccessrepository.it/communities/itmirror
https://www.openaccessrepository.it/record/123913
doi:10.3402/polar.v13i1.6678
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3402/polar.v13i1.6678
container_title Polar Research
container_volume 13
container_issue 1
container_start_page 23
op_container_end_page 33
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