The development of indicators to assess the expansion of urban areas embodies a crucial challenge to monitor the Sustainable Development Goals claimed by the United Nations (SDGs 2030). Uncontrolled and unsustainable urban sprawl as a consequence of population rise, socio-economic factors and technological development are altering the earth surface at unprecedented rates. This research explore the usefulness of active remote sensed data for monitoring urban sprawl processes in a subtropical city of south America. Specifically, based on multi-temporal urban cover maps of Cordoba in central Argentina derived from Cosmo-SkyMed SAR images we quantified the surface increase of urban areas and described urban sprawl process occurred during the last decade (2010-2021) in sectors characterized by different levels of urban cover (very low, low, medium, high, very high) through trajectory analyses. We mapped built up areas of 4 time steps using multi-temporal images (S1: 2010-11, S2: 2012-13, S3: 2018-19, S4: 2020-21). We quantified urban expansion in each time step identifying newly built areas over 2.5 ha. For these areas, we analyzed urban cover and a set of spatial pattern indices (UPIs), and by projecting them in a Cartesian space we performed a trajectory analysis. The results indicated a significant growth of urban areas (890 ha) according with two main process: the establishment of newly built up nuclei embedded on agricultural and natural landscapes in suburbs areas and the filling of remnant non-urban/semi-natural areas inside the city. The trajectory analysis highlighted non-linear relations between urban cover and PIs, offering some insights for better understanding urban sprawl processes. Multi-temporal analysis could be a useful tool detect and monitor different moments of urban expansion processes (form early settlement to dense urban conditions). This approach can be extended to other cities and landscapes in order to better understand urban dynamics at different scales and geographical conditions.
Measuring urban expansion by multitemporal active remote sensing data: a trajectory analysis in a big city of south America / Marzialetti, F.; Gamba, P.; Sorriso, A.; Carranza, M. L.. - (2022). (Intervento presentato al convegno XXXI Congresso SITE Adattamenti degli ecosistemi alle pressioni dell'Antropocence tenutosi a Siena nel 13 -15 Settembre 2022).
Measuring urban expansion by multitemporal active remote sensing data: a trajectory analysis in a big city of south America
Marzialetti, F.;
2022-01-01
Abstract
The development of indicators to assess the expansion of urban areas embodies a crucial challenge to monitor the Sustainable Development Goals claimed by the United Nations (SDGs 2030). Uncontrolled and unsustainable urban sprawl as a consequence of population rise, socio-economic factors and technological development are altering the earth surface at unprecedented rates. This research explore the usefulness of active remote sensed data for monitoring urban sprawl processes in a subtropical city of south America. Specifically, based on multi-temporal urban cover maps of Cordoba in central Argentina derived from Cosmo-SkyMed SAR images we quantified the surface increase of urban areas and described urban sprawl process occurred during the last decade (2010-2021) in sectors characterized by different levels of urban cover (very low, low, medium, high, very high) through trajectory analyses. We mapped built up areas of 4 time steps using multi-temporal images (S1: 2010-11, S2: 2012-13, S3: 2018-19, S4: 2020-21). We quantified urban expansion in each time step identifying newly built areas over 2.5 ha. For these areas, we analyzed urban cover and a set of spatial pattern indices (UPIs), and by projecting them in a Cartesian space we performed a trajectory analysis. The results indicated a significant growth of urban areas (890 ha) according with two main process: the establishment of newly built up nuclei embedded on agricultural and natural landscapes in suburbs areas and the filling of remnant non-urban/semi-natural areas inside the city. The trajectory analysis highlighted non-linear relations between urban cover and PIs, offering some insights for better understanding urban sprawl processes. Multi-temporal analysis could be a useful tool detect and monitor different moments of urban expansion processes (form early settlement to dense urban conditions). This approach can be extended to other cities and landscapes in order to better understand urban dynamics at different scales and geographical conditions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
