ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík
| Autor: | Polina Lemenkova |
|---|---|
| Přispěvatelé: | Schmidt United Institute of Physics of the Earth [Moscow] (IPE), Russian Academy of Sciences [Moscow] (RAS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Earth observation
010504 meteorology & atmospheric sciences ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis 0211 other engineering and technologies 02 engineering and technology ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation 01 natural sciences Environmental monitoring Data processing Geography [SDE.IE]Environmental Sciences/Environmental Engineering General Medicine computer.file_format Vegetation ACM: K.: Computing Milieux [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Mapping [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Landsat TM [SDE]Environmental Sciences Raster graphics Cartography Land cover / land use Geology ArcGIS ACM: I.: Computing Methodologies [SDE.MCG]Environmental Sciences/Global Changes [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Image processing Land cover ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General Machine learning Data visceralization ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION Landscape [INFO]Computer Science [cs] Cluster analysis 021101 geological & geomatics engineering 0105 earth and related environmental sciences ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION 15. Life on land [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation 13. Climate action [SDE.BE]Environmental Sciences/Biodiversity and Ecology computer Data modeling |
| Zdroj: | Bulletin of Natural Sciences Research 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⟩ |
| ISSN: | 2738-0971 |
| DOI: | 10.5937/bnsr11-30488⟩ |
| Popis: | 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 areas, glaciers and cloudy regions; 6) ravine valleys with a sparse type of the vegetation: rowan, alder, heathland, wetland; 7) rocks; 8) mixed areas. The final remarks include the discussion on the development of machine learning methods and opportunities of their technical applications in GIS-based analysis and Earth Observation data processing in ArcGIS, including image analysis and classification, mapping and visualization, machine learning and environmental applications for decision making in forestry and sustainable development. |
| Databáze: | OpenAIRE |
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