ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík
International audience The paper presents the use of the Landsat TM image processed by the ArcGIS Spatial Analyst Tool for environmental mapping of southwestern Iceland, region of Reykjavik. Iceland is one of the most special Arctic regions with unique flora and landscapes. Its environment is presen...
Published in: | Bulletin of Natural Sciences Research |
---|---|
Main Author: | |
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2021
|
Subjects: | |
Online Access: | https://hal.archives-ouvertes.fr/hal-03277625 https://hal.archives-ouvertes.fr/hal-03277625/document https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf https://doi.org/10.5937/bnsr11-30488 |
id |
ftccsdartic:oai:HAL:hal-03277625v1 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Machine learning Landsat TM ArcGIS Cartography Geography Landscape Land cover / land use Mapping Data visceralization Data modeling ACM: K.: Computing Milieux ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION ACM: I.: Computing Methodologies ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation [INFO]Computer Science [cs] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] |
spellingShingle |
Machine learning Landsat TM ArcGIS Cartography Geography Landscape Land cover / land use Mapping Data visceralization Data modeling ACM: K.: Computing Milieux ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION ACM: I.: Computing Methodologies ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation [INFO]Computer Science [cs] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Lemenkova, Polina ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík |
topic_facet |
Machine learning Landsat TM ArcGIS Cartography Geography Landscape Land cover / land use Mapping Data visceralization Data modeling ACM: K.: Computing Milieux ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION ACM: I.: Computing Methodologies ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation [INFO]Computer Science [cs] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] |
description |
International audience The paper presents the use of the Landsat TM image processed by the ArcGIS Spatial Analyst Tool for environmental mapping of southwestern Iceland, region of Reykjavik. Iceland is one of the most special Arctic regions with unique flora and landscapes. Its environment is presented by vulnerable ecosystems of highlands where vegetation is affected by climate, human or geologic factors: overgrazing, volcanism, annual temperature change. Therefore, mapping land cover types in Iceland contribute to the nature conservation, sustainable development and environmental monitoring purposes. This paper starts by review of the current trends in remote sensing, the importance of Landsat TM imagery for environmental mapping in general and Iceland in particular, and the requirements of GIS specifically for satellite image analysis. This is followed by the extended methodological workflow supported by illustrative print screens and technical description of data processing in ArcGIS. The data used in this research include Landsat TM image which was captured using GloVis and processed in ArcGIS. The methodology includes a workflow involving several technical steps of raster da ta processing in ArcGIS: 1) coordinate projecting, 2) panchromatic sharpening, 3) inspection of raster statistics, 4) spectral bands combination, 5) calculations, 6) unsupervised classification, 7) mapping. The classification was done by clustering technique using ISO Cluster algorithm and Maximum Likelihood Classification. This paper finally presents the results of the ISO Cluster application for Landsat TM image processing and concludes final remarks on the perspectives of environmental mapping based on Landsat TM image processing in ArcGIS.The results of the classification present landscapes divided into eight distinct land cover classes: 1) bare soils; 2) shrubs and smaller trees in the river valleys, urban areas including green spaces; 3) water areas; 4) forests including the Reykjanesfólkvangur National reserve; 5) ice-covered ... |
author2 |
Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS) |
format |
Article in Journal/Newspaper |
author |
Lemenkova, Polina |
author_facet |
Lemenkova, Polina |
author_sort |
Lemenkova, Polina |
title |
ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík |
title_short |
ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík |
title_full |
ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík |
title_fullStr |
ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík |
title_full_unstemmed |
ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík |
title_sort |
iso cluster classifier by arcgis for unsupervised classification of the landsat tm image of reykjavík |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.archives-ouvertes.fr/hal-03277625 https://hal.archives-ouvertes.fr/hal-03277625/document https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf https://doi.org/10.5937/bnsr11-30488 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Iceland |
genre_facet |
Arctic Iceland |
op_source |
ISSN: 2738-0971 Bulletin of Natural Sciences Research https://hal.archives-ouvertes.fr/hal-03277625 Bulletin of Natural Sciences Research, University of Priština - Faculty of Natural Sciences and Mathematics, Kosovska Mitrovica, 2021, 11 (1), pp.29-37. ⟨10.5937/bnsr11-30488⟩ https://scindeks.ceon.rs/journaldetails.aspx?issn=2738-0971&lang=en |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5937/bnsr11-30488 hal-03277625 https://hal.archives-ouvertes.fr/hal-03277625 https://hal.archives-ouvertes.fr/hal-03277625/document https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf doi:10.5937/bnsr11-30488 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5937/bnsr11-30488 |
container_title |
Bulletin of Natural Sciences Research |
container_volume |
11 |
container_issue |
1 |
container_start_page |
29 |
op_container_end_page |
37 |
_version_ |
1766349884324052992 |
spelling |
ftccsdartic:oai:HAL:hal-03277625v1 2023-05-15T15:19:41+02:00 ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS) 2021-07-04 https://hal.archives-ouvertes.fr/hal-03277625 https://hal.archives-ouvertes.fr/hal-03277625/document https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf https://doi.org/10.5937/bnsr11-30488 en eng HAL CCSD University of Priština - Faculty of Natural Sciences and Mathematics, Kosovska Mitrovica info:eu-repo/semantics/altIdentifier/doi/10.5937/bnsr11-30488 hal-03277625 https://hal.archives-ouvertes.fr/hal-03277625 https://hal.archives-ouvertes.fr/hal-03277625/document https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf doi:10.5937/bnsr11-30488 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2738-0971 Bulletin of Natural Sciences Research https://hal.archives-ouvertes.fr/hal-03277625 Bulletin of Natural Sciences Research, University of Priština - Faculty of Natural Sciences and Mathematics, Kosovska Mitrovica, 2021, 11 (1), pp.29-37. ⟨10.5937/bnsr11-30488⟩ https://scindeks.ceon.rs/journaldetails.aspx?issn=2738-0971&lang=en Machine learning Landsat TM ArcGIS Cartography Geography Landscape Land cover / land use Mapping Data visceralization Data modeling ACM: K.: Computing Milieux ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION ACM: I.: Computing Methodologies ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation [INFO]Computer Science [cs] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE]Environmental Sciences [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology [SDE.IE]Environmental Sciences/Environmental Engineering [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] info:eu-repo/semantics/article Journal articles 2021 ftccsdartic https://doi.org/10.5937/bnsr11-30488 2021-07-17T22:27:00Z International audience The paper presents the use of the Landsat TM image processed by the ArcGIS Spatial Analyst Tool for environmental mapping of southwestern Iceland, region of Reykjavik. Iceland is one of the most special Arctic regions with unique flora and landscapes. Its environment is presented by vulnerable ecosystems of highlands where vegetation is affected by climate, human or geologic factors: overgrazing, volcanism, annual temperature change. Therefore, mapping land cover types in Iceland contribute to the nature conservation, sustainable development and environmental monitoring purposes. This paper starts by review of the current trends in remote sensing, the importance of Landsat TM imagery for environmental mapping in general and Iceland in particular, and the requirements of GIS specifically for satellite image analysis. This is followed by the extended methodological workflow supported by illustrative print screens and technical description of data processing in ArcGIS. The data used in this research include Landsat TM image which was captured using GloVis and processed in ArcGIS. The methodology includes a workflow involving several technical steps of raster da ta processing in ArcGIS: 1) coordinate projecting, 2) panchromatic sharpening, 3) inspection of raster statistics, 4) spectral bands combination, 5) calculations, 6) unsupervised classification, 7) mapping. The classification was done by clustering technique using ISO Cluster algorithm and Maximum Likelihood Classification. This paper finally presents the results of the ISO Cluster application for Landsat TM image processing and concludes final remarks on the perspectives of environmental mapping based on Landsat TM image processing in ArcGIS.The results of the classification present landscapes divided into eight distinct land cover classes: 1) bare soils; 2) shrubs and smaller trees in the river valleys, urban areas including green spaces; 3) water areas; 4) forests including the Reykjanesfólkvangur National reserve; 5) ice-covered ... Article in Journal/Newspaper Arctic Iceland Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Bulletin of Natural Sciences Research 11 1 29 37 |