In the last few decades, worldwide urbanization has promoted the emergence of megacities, megalopolises, urban clusters or large urban aggregations. It brings greater global challenges and climatic, environmental, socio-economical issues. Thanks to advanced remote sensing technologies, the necessary and urgent need to monitor urban changes can be performed by using multi-temporal and spatially fine-resolution data of increasing availability. In this paper, exploiting fine-resolution SAR of ascending and descending orbit over urban areas, multi-pattern changes are mapped by means of a novel cascade clustering technique and visualized/interpreted by means of a change vector analysis. In this paper, exploiting fine-resolution SAR of ascending and descending orbit over urban areas, multi-pattern changes are mapped by means of a novel cascade clustering technique and visualized/interpreted by means of a change vector analysis.
Urban Change Pattern Exploration Using Fine-resolution SAR of Ascending and Descending Orbits
Che M.Membro del Collaboration Group
;Gamba P.
Membro del Collaboration Group
2020-01-01
Abstract
In the last few decades, worldwide urbanization has promoted the emergence of megacities, megalopolises, urban clusters or large urban aggregations. It brings greater global challenges and climatic, environmental, socio-economical issues. Thanks to advanced remote sensing technologies, the necessary and urgent need to monitor urban changes can be performed by using multi-temporal and spatially fine-resolution data of increasing availability. In this paper, exploiting fine-resolution SAR of ascending and descending orbit over urban areas, multi-pattern changes are mapped by means of a novel cascade clustering technique and visualized/interpreted by means of a change vector analysis. In this paper, exploiting fine-resolution SAR of ascending and descending orbit over urban areas, multi-pattern changes are mapped by means of a novel cascade clustering technique and visualized/interpreted by means of a change vector analysis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.