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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1994
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Online Access: | https://www.openaccessrepository.it/record/123913 https://doi.org/10.3402/polar.v13i1.6678 |
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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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1781069928423489536 |