Mapping of impervious surfaces with the use of remote sensing imagery: Support Vector Machines classification and GIS-based approach

Mapping of impervious surfaces with the use of remote sensing imagery: Support Vector Machines classification and GIS-based approach

This study focuses on the problem of mapping impervious surfaces in urban areas and aims to use remote sensing data and orthophotos to accurately classify and map these surfaces. Impervious surface indices and green space assessments are widely used in land use and urban planning to evaluate the urb...

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Bibliographic Details
Main Authors: Janusz Sobieraj, Marcos Fernández Marín, Dominik Metelski
Format: Article
Language:English
Published: Polish Academy of Sciences 2023-09-01
Series:Archives of Civil Engineering
Subjects:
classification
impervious surface
support vector machines (svm)
remote sensing
geographicinformation system (gis)
land use/land cover (lulc)
arcgis
machine learning
Online Access:https://journals.pan.pl/Content/128457/PDF/art08_int.pdf

Internet

https://journals.pan.pl/Content/128457/PDF/art08_int.pdf

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