URBAN VULNERABILITY ANALYSIS IN THE TRIBUTARY BASIN OF THE RIMAC RIVER, PERU USING HIGH-RESOLUTION REMOTE SENSING IMAGERY

Adriano B.; Moya L.; Mas E.; Miura H.; Matsuoka M.; Koshimura S. · International Geoscience and Remote Sensing Symposium (IGARSS) (2024) · DOI: 10.1109/igarss53475.2024.10642715

Resumen

Urban areas in Lima, Peru, grow fast and with almost no control. Furthermore, resources to monitor urban areas are limited in Peru. Thus, the evolution of exposure of urban areas to natural hazards is highly uncertain. In this paper, we report a practical use of deep learning-based land use and land cover mapping to quantify, with unprecedented accuracy, the increment in exposure against floods in the District of Ate, Lima, Peru. We use Google Satellite imagery recorded in 2002 and 2023, generate land use maps, and quantify the increment of urban areas in the floodplain of the Rimac River. Results show an increment of exposure to floods of about 10.3% after 21 years.

Instituciones: Pontificia Universidad Católica del Perú