SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM
The paper aims to evaluate the presence and condition of vegetation by SAGA GIS. The study area covers northern coasts of Iceland including two fjords, the Eyjafjörður and the Skagafjörður, prosperous agricultural regions. The vegetation coverage in Iceland experience the impact of harsh climate,...
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Online Access: | https://hdl.handle.net/11585/967966 https://doi.org/10.2478/abmj-2020-0007 https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/ https://zenodo.org/record/4198935 http://ssrn.com/abstract=3723820 https://www.lifescience.net/publications/18394/saga-gis-for-information-extraction-on-presence-an/ https://doi.org/10.6084/m9.figshare.13176872 |
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ftunibolognairis:oai:cris.unibo.it:11585/967966 2024-05-19T07:36:30+00:00 SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM Lemenkova, Polina Lemenkova, Polina 2020 ELETTRONICO https://hdl.handle.net/11585/967966 https://doi.org/10.2478/abmj-2020-0007 https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/ https://zenodo.org/record/4198935 http://ssrn.com/abstract=3723820 https://www.lifescience.net/publications/18394/saga-gis-for-information-extraction-on-presence-an/ https://doi.org/10.6084/m9.figshare.13176872 eng eng volume:3 issue:2 firstpage:10 lastpage:21 numberofpages:12 journal:ACTA BIOLOGICA MARISIENSIS https://hdl.handle.net/11585/967966 doi:10.2478/abmj-2020-0007 https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/ https://zenodo.org/record/4198935 http://ssrn.com/abstract=3723820 https://www.lifescience.net/publications/18394/saga-gis-for-information-extraction-on-presence-an/ https://doi.org/10.6084/m9.figshare.13176872 Iceland Landsat TM SAGA GIS cartography vegetation index machine learning automatization mapping info:eu-repo/semantics/article 2020 ftunibolognairis https://doi.org/10.2478/abmj-2020-000710.6084/m9.figshare.13176872 2024-04-26T00:18:46Z The paper aims to evaluate the presence and condition of vegetation by SAGA GIS. The study area covers northern coasts of Iceland including two fjords, the Eyjafjörður and the Skagafjörður, prosperous agricultural regions. The vegetation coverage in Iceland experience the impact of harsh climate, land use, livestock grazing, glacial ablation and volcanism. The data include the Landsat TM image. The methodology is based on computing raster bands for simulating Tassel Cap Transformation (wetness, greenness and brightness) and Enhanced Vegetation Index (EVI) sensitive to high biomass. The results include modelled three bands of brightness, greenness and wetness. Greenness variation shows the least values in ice-covered areas (-56.98 to-18.69). High values (-23.48 to 9.12) are in the valleys with dense vegetation, correlating with the geomorphology of the river network, the vegetation-free areas and ocean which corresponds to the peak of 30.87 to 41.19. The bell-shaped data distribution shows frequency 43.19-141.74 for vegetation indicating healthy state and canopy density. Maximal values are in ice-covered regions and glaciers (64°N-65°N). Very low values (0 to-20) show desertification and mountainous rocks. Moderate values (20-40) indicate healthy vegetation. The most frequent data:-28,17 to 11,8. The EVI shows data variations (-0.14 to 0.04). The study contributes both to the regional studies of Arctic Iceland and methodological approach of remote sensing data processing by SAGA GIS Article in Journal/Newspaper Arctic Iceland ice covered areas IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
institution |
Open Polar |
collection |
IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
op_collection_id |
ftunibolognairis |
language |
English |
topic |
Iceland Landsat TM SAGA GIS cartography vegetation index machine learning automatization mapping |
spellingShingle |
Iceland Landsat TM SAGA GIS cartography vegetation index machine learning automatization mapping Lemenkova, Polina SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM |
topic_facet |
Iceland Landsat TM SAGA GIS cartography vegetation index machine learning automatization mapping |
description |
The paper aims to evaluate the presence and condition of vegetation by SAGA GIS. The study area covers northern coasts of Iceland including two fjords, the Eyjafjörður and the Skagafjörður, prosperous agricultural regions. The vegetation coverage in Iceland experience the impact of harsh climate, land use, livestock grazing, glacial ablation and volcanism. The data include the Landsat TM image. The methodology is based on computing raster bands for simulating Tassel Cap Transformation (wetness, greenness and brightness) and Enhanced Vegetation Index (EVI) sensitive to high biomass. The results include modelled three bands of brightness, greenness and wetness. Greenness variation shows the least values in ice-covered areas (-56.98 to-18.69). High values (-23.48 to 9.12) are in the valleys with dense vegetation, correlating with the geomorphology of the river network, the vegetation-free areas and ocean which corresponds to the peak of 30.87 to 41.19. The bell-shaped data distribution shows frequency 43.19-141.74 for vegetation indicating healthy state and canopy density. Maximal values are in ice-covered regions and glaciers (64°N-65°N). Very low values (0 to-20) show desertification and mountainous rocks. Moderate values (20-40) indicate healthy vegetation. The most frequent data:-28,17 to 11,8. The EVI shows data variations (-0.14 to 0.04). The study contributes both to the regional studies of Arctic Iceland and methodological approach of remote sensing data processing by SAGA GIS |
author2 |
Lemenkova, Polina |
format |
Article in Journal/Newspaper |
author |
Lemenkova, Polina |
author_facet |
Lemenkova, Polina |
author_sort |
Lemenkova, Polina |
title |
SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM |
title_short |
SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM |
title_full |
SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM |
title_fullStr |
SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM |
title_full_unstemmed |
SAGA GIS for Information Extraction on Presence and Conditions of Vegetation of Northern Coast of Iceland Based on the Landsat TM |
title_sort |
saga gis for information extraction on presence and conditions of vegetation of northern coast of iceland based on the landsat tm |
publishDate |
2020 |
url |
https://hdl.handle.net/11585/967966 https://doi.org/10.2478/abmj-2020-0007 https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/ https://zenodo.org/record/4198935 http://ssrn.com/abstract=3723820 https://www.lifescience.net/publications/18394/saga-gis-for-information-extraction-on-presence-an/ https://doi.org/10.6084/m9.figshare.13176872 |
genre |
Arctic Iceland ice covered areas |
genre_facet |
Arctic Iceland ice covered areas |
op_relation |
volume:3 issue:2 firstpage:10 lastpage:21 numberofpages:12 journal:ACTA BIOLOGICA MARISIENSIS https://hdl.handle.net/11585/967966 doi:10.2478/abmj-2020-0007 https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/ https://zenodo.org/record/4198935 http://ssrn.com/abstract=3723820 https://www.lifescience.net/publications/18394/saga-gis-for-information-extraction-on-presence-an/ https://doi.org/10.6084/m9.figshare.13176872 |
op_doi |
https://doi.org/10.2478/abmj-2020-000710.6084/m9.figshare.13176872 |
_version_ |
1799475624224489472 |