Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image
The paper presents the application of ArcGIS for environmental modelling of the landscapes in northern Iceland (17.00°W-23.00°W, 64.30°N-67.00°N). The aim was to explore the vegetation distribution by NDVI and ISOCLUST classification of the land cover types. Data include the Landsat TM image. Freely...
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ftunivbruxelles:oai:dipot.ulb.ac.be:2013/341433 2023-05-15T15:17:19+02:00 Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image Lemenkova, Polina 2021-12-31 1 full-text file(s): application/pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/341433 https://dipot.ulb.ac.be/dspace/bitstream/2013/341433/3/GLL-4-11_2021.pdf en eng uri/info:doi/10.15576/GLL/2021.4.147 uri/info:doi/10.5281/zenodo.6347500 https://dipot.ulb.ac.be/dspace/bitstream/2013/341433/3/GLL-4-11_2021.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/341433 1 full-text file(s): info:eu-repo/semantics/openAccess Geomatics, Landmanagement and Landscape, 4 Cartographie Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Disciplines graphiques Sciences exactes et naturelles Sciences de la terre et du cosmos Géographie physique Aménagement du territoire Photogéologie [géogr.phys. géomorph. pédologie etc.] Télédétection Systèmes d'information géographique Informatique générale Ecological Economics Q57 Agricultural and Natural Resource Economics Environmental and Ecological Economics: General Q00 Energy Environment P18 Valuation of Environmental Effects Q51 Pictures and Maps Y91 Environmental Economics: Technological Innovation Q55 Project Analysis O22 cartography Iceland remote sensing Arctic ArcGIS mapping info:eu-repo/semantics/article info:ulb-repo/semantics/articlePeerReview info:ulb-repo/semantics/openurl/article 2021 ftunivbruxelles 2022-08-31T22:20:51Z The paper presents the application of ArcGIS for environmental modelling of the landscapes in northern Iceland (17.00°W-23.00°W, 64.30°N-67.00°N). The aim was to explore the vegetation distribution by NDVI and ISOCLUST classification of the land cover types. Data include the Landsat TM image. Freely available satellite remote sensing data from the Landsat mission have been processed by GIS to deliver information on land cover types from image classification and NDVI vegetation index. Landsat products provide geospatial data on regional scale with moderate temporal (weekly) and spatial (30-10 m) resolution, making them useful for environmental monitoring and landscape studies. The tools include the ArcGIS software used for raster processing. Data processing was performed in the three steps: 1) comparative analysis of the visualized sixteen band combinations to assess the distinguishability of vegetation and other land cover types in colour composites; 2) computed NDVI standardized vegetation index; 3) unsupervised classification of the Landsat TM by the ISOCLUST algorithm. Large glaciers Hofsjökull and Langjökull were detected on various colour composites, and the visibility of the water/land borders is assessed (Blöndulón lake), agricultural areas near the Varmahlíð, vegetated areas around the Akrahreppur municipality. Computing the NDVI and using ISOCLUST by ArcGIS software enabled to distinguish various land cover types and map landscapes in the study area. The computed NDVI shown the presence and condition of vegetation, that is, a relative biomass in the area of northern Iceland. The NDVI was used based on the contrast of the two channels from a multispectral Landsat TM raster data. info:eu-repo/semantics/published Article in Journal/Newspaper Arctic Blöndulón Hofsjökull Iceland Langjökull DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) Arctic Langjökull ENVELOPE(-20.145,-20.145,64.654,64.654) Géodésie ENVELOPE(139.846,139.846,-66.675,-66.675) Blöndulón ENVELOPE(-19.649,-19.649,65.181,65.181) Akrahreppur ENVELOPE(-18.796,-18.796,65.355,65.355) |
institution |
Open Polar |
collection |
DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) |
op_collection_id |
ftunivbruxelles |
language |
English |
topic |
Cartographie Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Disciplines graphiques Sciences exactes et naturelles Sciences de la terre et du cosmos Géographie physique Aménagement du territoire Photogéologie [géogr.phys. géomorph. pédologie etc.] Télédétection Systèmes d'information géographique Informatique générale Ecological Economics Q57 Agricultural and Natural Resource Economics Environmental and Ecological Economics: General Q00 Energy Environment P18 Valuation of Environmental Effects Q51 Pictures and Maps Y91 Environmental Economics: Technological Innovation Q55 Project Analysis O22 cartography Iceland remote sensing Arctic ArcGIS mapping |
spellingShingle |
Cartographie Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Disciplines graphiques Sciences exactes et naturelles Sciences de la terre et du cosmos Géographie physique Aménagement du territoire Photogéologie [géogr.phys. géomorph. pédologie etc.] Télédétection Systèmes d'information géographique Informatique générale Ecological Economics Q57 Agricultural and Natural Resource Economics Environmental and Ecological Economics: General Q00 Energy Environment P18 Valuation of Environmental Effects Q51 Pictures and Maps Y91 Environmental Economics: Technological Innovation Q55 Project Analysis O22 cartography Iceland remote sensing Arctic ArcGIS mapping Lemenkova, Polina Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image |
topic_facet |
Cartographie Sciences de l'ingénieur Disciplines auxiliaires de l'ingénieur Géodésie appliquée topographie [télédétection] Géodésie appliquée topographie [géodésie] Disciplines graphiques Sciences exactes et naturelles Sciences de la terre et du cosmos Géographie physique Aménagement du territoire Photogéologie [géogr.phys. géomorph. pédologie etc.] Télédétection Systèmes d'information géographique Informatique générale Ecological Economics Q57 Agricultural and Natural Resource Economics Environmental and Ecological Economics: General Q00 Energy Environment P18 Valuation of Environmental Effects Q51 Pictures and Maps Y91 Environmental Economics: Technological Innovation Q55 Project Analysis O22 cartography Iceland remote sensing Arctic ArcGIS mapping |
description |
The paper presents the application of ArcGIS for environmental modelling of the landscapes in northern Iceland (17.00°W-23.00°W, 64.30°N-67.00°N). The aim was to explore the vegetation distribution by NDVI and ISOCLUST classification of the land cover types. Data include the Landsat TM image. Freely available satellite remote sensing data from the Landsat mission have been processed by GIS to deliver information on land cover types from image classification and NDVI vegetation index. Landsat products provide geospatial data on regional scale with moderate temporal (weekly) and spatial (30-10 m) resolution, making them useful for environmental monitoring and landscape studies. The tools include the ArcGIS software used for raster processing. Data processing was performed in the three steps: 1) comparative analysis of the visualized sixteen band combinations to assess the distinguishability of vegetation and other land cover types in colour composites; 2) computed NDVI standardized vegetation index; 3) unsupervised classification of the Landsat TM by the ISOCLUST algorithm. Large glaciers Hofsjökull and Langjökull were detected on various colour composites, and the visibility of the water/land borders is assessed (Blöndulón lake), agricultural areas near the Varmahlíð, vegetated areas around the Akrahreppur municipality. Computing the NDVI and using ISOCLUST by ArcGIS software enabled to distinguish various land cover types and map landscapes in the study area. The computed NDVI shown the presence and condition of vegetation, that is, a relative biomass in the area of northern Iceland. The NDVI was used based on the contrast of the two channels from a multispectral Landsat TM raster data. info:eu-repo/semantics/published |
format |
Article in Journal/Newspaper |
author |
Lemenkova, Polina |
author_facet |
Lemenkova, Polina |
author_sort |
Lemenkova, Polina |
title |
Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image |
title_short |
Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image |
title_full |
Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image |
title_fullStr |
Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image |
title_full_unstemmed |
Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image |
title_sort |
robust vegetation detection using rgb colour composites and isoclust classification of the landsat tm image |
publishDate |
2021 |
url |
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/341433 https://dipot.ulb.ac.be/dspace/bitstream/2013/341433/3/GLL-4-11_2021.pdf |
long_lat |
ENVELOPE(-20.145,-20.145,64.654,64.654) ENVELOPE(139.846,139.846,-66.675,-66.675) ENVELOPE(-19.649,-19.649,65.181,65.181) ENVELOPE(-18.796,-18.796,65.355,65.355) |
geographic |
Arctic Langjökull Géodésie Blöndulón Akrahreppur |
geographic_facet |
Arctic Langjökull Géodésie Blöndulón Akrahreppur |
genre |
Arctic Blöndulón Hofsjökull Iceland Langjökull |
genre_facet |
Arctic Blöndulón Hofsjökull Iceland Langjökull |
op_source |
Geomatics, Landmanagement and Landscape, 4 |
op_relation |
uri/info:doi/10.15576/GLL/2021.4.147 uri/info:doi/10.5281/zenodo.6347500 https://dipot.ulb.ac.be/dspace/bitstream/2013/341433/3/GLL-4-11_2021.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/341433 |
op_rights |
1 full-text file(s): info:eu-repo/semantics/openAccess |
_version_ |
1766347562077388800 |