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.
2020
978-1-7281-8942-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1439703
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