How do disasters disrupt the spatial growth of informal settlements? A multi-temporal remote sensing approach - The case study of Mocoa, Colombia
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作者:
Camacho, Ricardo
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Univ Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Earth Observat & AI Res Grp, Melbourne, Australia
Univ Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Level 6,Melbourne Connect,700 Swanston St, Melbourne, Vic 3010, AustraliaUniv Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Earth Observat & AI Res Grp, Melbourne, Australia
Camacho, Ricardo
[1
,2
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Aryal, Jagannath
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Univ Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Earth Observat & AI Res Grp, Melbourne, AustraliaUniv Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Earth Observat & AI Res Grp, Melbourne, Australia
Aryal, Jagannath
[1
]
Rajabifard, Abbas
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Univ Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Level 6,Melbourne Connect,700 Swanston St, Melbourne, Vic 3010, AustraliaUniv Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Earth Observat & AI Res Grp, Melbourne, Australia
Rajabifard, Abbas
[2
]
机构:
[1] Univ Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Earth Observat & AI Res Grp, Melbourne, Australia
[2] Univ Melbourne, Ctr Spatial Data Infrastruct & Land Adm CSDILA, Level 6,Melbourne Connect,700 Swanston St, Melbourne, Vic 3010, Australia
Informal settlements are a growing phenomenon, particularly in the Global South, where disaster risk is also high. This research investigates how disasters can disrupt the growth patterns of multiple informal settlements within a city, focusing on the 2017 Mocoa disaster in Colombia. We propose a novel spatiotemporal framework combining data and models such as historical aerial photographs, RapidEye, PlanetScope multi-temporal images, and deep learning pixel classification models. The framework is translated into a dedicated approach that compares the urban and peri-urban dynamics of twelve informal settlements in the city of Mocoa over 14 years, considering its limited data availability, typical of smaller cities in the Global South. Our analysis reveals that the 2017 disaster significantly altered Mocoa's sprawl pattern and the growth trajectory of specific informal settlements. This study contributes to a replicable methodology in understanding the impact of disasters on informal urbanisation, highlighting the need for disaster risk reduction strategies that consider the vulnerabilities of IS in smaller cities.
机构:
Inner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R China
Inner Mongolia Land & Space Planning Inst, Hohhot 010010, Peoples R ChinaInner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R China
Wang, Haiwen
Wu, Nitu
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Inner Mongolia Agr Univ, Sch Grassland Resources & Environm, Key Lab Grassland Resources, Minist Educ, Hohhot 010018, Peoples R ChinaInner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R China
Wu, Nitu
Han, Guodong
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Inner Mongolia Agr Univ, Sch Grassland Resources & Environm, Key Lab Grassland Resources, Minist Educ, Hohhot 010018, Peoples R ChinaInner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R China
Han, Guodong
Li, Wu
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Inner Mongolia Univ, Sch Econ & Management, Hohhot 010021, Peoples R ChinaInner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R China
Li, Wu
Batunacun
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Inner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R ChinaInner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R China
Batunacun
Bao, Yuhai
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Inner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R ChinaInner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010011, Peoples R China