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Cross-Border Urban Change Detection and Growth Assessment for Mexican-USA Twin Cities

  • Remote sensing applications of change detection are increasingly in demand for many areas of land use and urbanization, and disaster risk reduction. The Sendai Framework for Disaster Risk Reduction and the New Urban Agenda by the United Nations call for risk monitoring. This study maps and assesses the urban area changes of 23 Mexican-USA border cities with a remote sensing-based approach. A literature study on existing studies on hazard mapping and social vulnerability in those cities reveals a need for further studies on urban growth. Using a multi-modal combination of aerial, declassified (CORONA, GAMBIT, HEXAGON programs), and recent (Sentinel-2) satellite imagery, this study expands existing land cover change assessments by capturing urban growth back to the 1940s. A Geographic Information System and census data assessment results reveal that massive urban growth has occurred on both sides of the national border. On the Mexican side, population and area growth exceeds the US cities in many cases. In addition, flood hazard exposure has grown along with growing city sizes, despite structural river training. These findings indicate a need for more risk monitoring that includes remote sensing data. It has socio-economic implications, too, as the social vulnerability on Mexican and US sides differ. This study calls for the maintenance and expansion of open data repositories to enable such transboundary risk comparisons. Common vulnerability variable sets could be helpful to enable better comparisons as well as comparable flood zonation mapping techniques. To enable risk monitoring, basic data such as urban boundaries should be mapped per decade and provided on open data platforms in GIS formats and not just in map viewers.

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Metadaten
Verfasserangaben:Alexander Fekete, Peter Priesmeier
URN:urn:nbn:de:hbz:832-epub4-18616
DOI:https://doi.org/10.3390/rs13214422
ISSN:2072-4292
Titel des übergeordneten Werkes (Englisch):Remote Sensing
Verlag:MDPI
Herausgeber*in:Georgios Mallinis, Charalampos Georgiadis
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:03.11.2021
Datum des Hochladens:14.12.2021
GND-Schlagwort:Entscheidungsunterstützung; Luftbild; Partnerstadt; Satellitenbild
Freies Schlagwort / Tag:Aerial Image; Change Detection; Decision-Support; Land-Use Change; New Urban Agenda; Risk Monitoring; Satellite Imagery; Sendai Framework; Sister-Cities; Urban Sprawl
Jahrgang:13
Ausgabe / Heft:21
Aufsatznummer:4422
Seitenzahl:27
Fakultäten und Zentrale Einrichtungen:Anlagen, Energie- und Maschinensysteme (F09) / Fakultät 09 / Institut für Rettungsingenieurwesen und Gefahrenabwehr
DDC-Sachgruppen:500 Naturwissenschaften und Mathematik
Lizenz (Deutsch):License LogoCreative Commons - CC BY - Namensnennung 4.0 International