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Categorizing Urban Structural Types using an Object-Based Local Climate Zone Classification Scheme in Medellín, Colombia

Kühnl, Marlene and Sapena Moll, Marta and Taubenböck, Hannes (2021) Categorizing Urban Structural Types using an Object-Based Local Climate Zone Classification Scheme in Medellín, Colombia. REAL CORP 2021, 7-11 Sept 2o21, Vienna, Austria. ISBN ISBN 978-3-9504945-0-1. ISSN ISSN 2521-8050.

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Official URL: https://www.corp.at/index.php?id=1

Abstract

Climate change is reshaping societies. As we see more and more people moving to urban areas an ever-increasing number settles in low-cost and more hazardous areas. However, due to the rapid growth and sheer scale of informal settlements, knowledge gaps often exist on location or quantity. In this sense, Earth Observation combined with machine learning techniques allows to generate reliable geo-information. In this study, we classify the morphologically heterogeneous entire urban area of Medellín, Colombia into urban structural types. We do this by the Local Climate Zone (LCZ) scheme. Our specific focus is on one structural type, i.e. informal settlements. We test whether it is feasible by the LCZ concept to localize and quantify these vulnerable areas. The LCZ scheme is generic, replicable, neutral, and has become widespread in urban studies. We use urban blocks to perform a scene-based image classification into nine LCZs. We refer to multi-modal remotely-sensed data: high-resolution multispectral image data and elevation data. We apply an optimized random forest algorithm using shape metrics, as well as spectral and texture features. In general, we find the LCZ classification, measured with an overall accuracy of 82%, shows a reliable representation of urban typologies and functions across the city. Specifically, we compare the urban blocks classified as the LCZ lightweigth low-rise to the informal settlements provided by the city of Medellín. Here we reach an agreement of 86%. Besides, our approach complements the official dataset by including recently developed areas which are not yet considered by the city.

Item URL in elib:https://elib.dlr.de/143799/
Document Type:Conference or Workshop Item (Speech)
Title:Categorizing Urban Structural Types using an Object-Based Local Climate Zone Classification Scheme in Medellín, Colombia
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kühnl, MarleneMarlene.Kuehnl (at) dlr.deUNSPECIFIED
Sapena Moll, MartaMarta.Sapena-Moll (at) dlr.dehttps://orcid.org/0000-0003-3283-319X
Taubenböck, HannesHannes.Taubenboeck (at) dlr.deUNSPECIFIED
Date:8 September 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 173-182
Editors:
EditorsEmailEditor's ORCID iD
SCHRENK, ManfredUNSPECIFIEDUNSPECIFIED
POPOVICH, Vasily V.UNSPECIFIEDUNSPECIFIED
ZEILE, PeterUNSPECIFIEDUNSPECIFIED
ELISEI, PietroUNSPECIFIEDUNSPECIFIED
BEYER, ClemensUNSPECIFIEDUNSPECIFIED
RYSER, JudithUNSPECIFIEDUNSPECIFIED
STÖGLEHNER, GernotUNSPECIFIEDUNSPECIFIED
ISSN:ISSN 2521-8050
ISBN:ISBN 978-3-9504945-0-1
Status:Published
Keywords:Earth Observation, Machine Learning, Informal Settlements, Random Forest, Local Climate Zone
Event Title:REAL CORP 2021
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:7-11 Sept 2o21
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods, R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Sapena Moll, Marta
Deposited On:21 Sep 2021 13:05
Last Modified:21 Sep 2021 13:05

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