Downloads provided by UsageCountsEvaluating land cover types from Landsat TM using SAGA GIS for vegetation mapping based on ISODATA and K-means clustering
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Lemenkova, Polina;
Evaluating land cover types from Landsat TM using SAGA GIS for vegetation mapping based on ISODATA and K-means clustering
The paper presents the cartographic processing of the Landsat TM image by the two unsupervised classification methods of SAGA GIS: ISODATA and K-means clustering. The approaches were tested and compared for land cover type mapping. Vegetation areas were detected and separated from other land cover types in the study area of southwestern Iceland. The number of clusters was set to ten classes. The processing of the satellite image by SAGA GIS was achieved using Imagery Classification tools in the Geoprocessing menu of SAGA GIS. Unsupervised classification performed effectively in the unlabeled pixels for the land cover types using machine learning in GIS. Following an iterative approach of clustering, the pixels were grouped in each step of the algorithm and the clusters were reassigned as centroids. The paper contributes to the technical development of the application of machine learning in cartography by demonstrating the effectiveness of SAGA GIS in remote sensing data processing applied for vegetation and environmental mapping.
[SDE] Environmental Sciences, Renewable Resources and Conservation: Forestry, Climate, Renewable Resources and Conservation: Water, Valuation of Environmental Effects, data analysis, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Kartographie, computer science, Global Warming, Q01, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], sustainable environment, C52, Géographie physique, Cluster Analysis, data visualization, mapping, saga gis, Model Evaluation and Selection, K-means, Q51, Kartierung, education, Energy, Q54, Environmental Economics: Technological Innovation, S, etc.], maschinelles Lernen, Agriculture, Y10, Sustainable Development, Q55, Y91, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, Sciences de la terre et du cosmos, Clusterbildung, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, SAGA GIS, ISODATA, machine learning, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Factor Models, [SDE.IE] Environmental Sciences/Environmental Engineering, Project Analysis, clustering, Systèmes d'information géographique, Earth science, O22, Télédétection, Natural Disasters, k-means, Photogéologie [hydrogéologie, Computer Programs: General, Environment, [INFO] Computer Science [cs], Sciences de l'ingénieur, Q23, isodata, Q25, modelling, Data: Tables and Charts, Géodésie appliquée topographie [géodésie], vegetation, Data Collection and Data Estimation Methodology, cartography, C38, SAGA GIS, mapping, vegetation, K-means, ISODATA, clustering, cartography, machine learning, SAGA GIS, мапирање, вегетација, К-means, ISODATA, груписање, картографија, машинско учење., Photogéologie [géogr.phys. géomorph. pédologie, Vegetation, Cartographie, Pictures and Maps, Multiple or Simultaneous Equation Models: Classification Methods, K-bedeutet, P18, Sciences de l'espace, image processing, ingénierie géograph. et géolog.], [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.MCG] Environmental Sciences/Global Changes, Computer Programs: Other, Principal Components, C80, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, Climatologie, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Géographie rurale, C89, [SDV.BID] Life Sciences [q-bio]/Biodiversity
[SDE] Environmental Sciences, Renewable Resources and Conservation: Forestry, Climate, Renewable Resources and Conservation: Water, Valuation of Environmental Effects, data analysis, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Kartographie, computer science, Global Warming, Q01, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], sustainable environment, C52, Géographie physique, Cluster Analysis, data visualization, mapping, saga gis, Model Evaluation and Selection, K-means, Q51, Kartierung, education, Energy, Q54, Environmental Economics: Technological Innovation, S, etc.], maschinelles Lernen, Agriculture, Y10, Sustainable Development, Q55, Y91, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, Sciences de la terre et du cosmos, Clusterbildung, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, SAGA GIS, ISODATA, machine learning, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Factor Models, [SDE.IE] Environmental Sciences/Environmental Engineering, Project Analysis, clustering, Systèmes d'information géographique, Earth science, O22, Télédétection, Natural Disasters, k-means, Photogéologie [hydrogéologie, Computer Programs: General, Environment, [INFO] Computer Science [cs], Sciences de l'ingénieur, Q23, isodata, Q25, modelling, Data: Tables and Charts, Géodésie appliquée topographie [géodésie], vegetation, Data Collection and Data Estimation Methodology, cartography, C38, SAGA GIS, mapping, vegetation, K-means, ISODATA, clustering, cartography, machine learning, SAGA GIS, мапирање, вегетација, К-means, ISODATA, груписање, картографија, машинско учење., Photogéologie [géogr.phys. géomorph. pédologie, Vegetation, Cartographie, Pictures and Maps, Multiple or Simultaneous Equation Models: Classification Methods, K-bedeutet, P18, Sciences de l'espace, image processing, ingénierie géograph. et géolog.], [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.MCG] Environmental Sciences/Global Changes, Computer Programs: Other, Principal Components, C80, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, Climatologie, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], Géographie rurale, C89, [SDV.BID] Life Sciences [q-bio]/Biodiversity
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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