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Item type:Publication, Vulnerabilities and exposure of recent informal urban areas in Lima, Peru(Elsevier Ltd, 2024-10-01)Urban areas are experiencing rapid growth, accompanied by significant disorder in Lima Metropolitan area and many other cities in South America. Due to decades of uncontrolled construction practices, it is imperative to identify and better understand the types of informalities prevalent in these recent urban areas. Addressing this lack of information is crucial for implementing appropriate countermeasures and developing new policies that benefit the communities residing in such areas. It is worth noting that understanding disaster risk aligns with the first priority of the Sendai Framework for Disaster Risk Reduction. In this study, we propose the use of radar satellite imagery recorded by the Sentinel-1 constellation since 2017 to identify clusters of urban growth in Lima Metropolitan area. Then, the informal urban clusters can be depicted by visual inspection of the last recorded high-resolution optical image. With good spatial and temporal resolution, we identified 25 clusters informal areas. Among our findings, we observed that several of these clusters are situated in landfills comprised of construction and other waste, increasing their vulnerability to debris flow, landslides, and earthquakes. Additionally, we noted that some new urban areas mainly consist of temporarily empty houses, highlighting the feasibility of implementing countermeasures, such as relocations, in the early stages of informal occupation. These results underscore the significant contribution of satellite radar imagery in identifying recent informal urban areas. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Semi-Supervised Segmentation for Mapping Urban Expansion and Hazard Exposure in Lima, Peru(2026-01-22)Abstract. Urban expansion in rapidly growing cities increases exposure to natural hazards but remains difficult to monitor in regions with limited data. This challenge is amplified in places such as Metropolitan Lima, where global datasets of urban areas lack precision along complex and rapidly changing city boundaries. As a result, recent growth in informal and peripheral zones is not well defined. This study introduces a practical application of a semi-supervised mapping approach that combines satellite imagery with partially labeled information and targeted manual refinement to identify new built-up areas in Metropolitan Lima from 2016 to 2025. The method improves the detection of small and fragmented structures, including emerging informal settlements that global datasets frequently miss. Results show that Metropolitan Lima expanded by approximately 76 km2 during the study period. A portion of this growth occurred in coastal zones exposed to tsunamis, in areas with medium to high landslide susceptibility, and on soil types where strong ground shaking is amplified during large earthquakes. These findings highlight the continued concentration of people and infrastructure in hazard-prone terrain.