How do disasters disrupt the spatial growth of informal settlements? A multi-temporal remote sensing approach - The case study of Mocoa, Colombia

被引:0
|
作者
Camacho, Ricardo [1 ,2 ]
Aryal, Jagannath [1 ]
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
关键词
informal settlements; Growth patterns; Urban sprawl; Earth observation;
D O I
10.1016/j.habitatint.2024.103272
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
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.
引用
收藏
页数:13
相关论文
共 31 条
  • [1] Study Urban Extension Spatial Differentiation Based on Multi-temporal Satellite Remote Sensing Images
    Zhan Yunjun
    Yang Haiwei
    2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY,VOL I, PROCEEDINGS, 2009, : 457 - +
  • [2] Exploiting temporal-spatial patterns of informal settlements using GIS and remote sensing technique: a case study of Jimma city, Southwestern Ethiopia
    Abebe M.S.
    Derebew K.T.
    Gemeda D.O.
    Environmental Systems Research, 2019, 8 (01)
  • [3] Multi-Temporal Remote Sensing for Forest Conservation and Management: A Case Study of the Gran Chaco in Central Argentina
    Alaggia, Francisco G.
    Innangi, Michele
    Cavallero, Laura
    Lopez, Dardo Ruben
    Pontieri, Federica
    Marzialetti, Flavio
    Riera-Tatche, Ramon
    Gamba, Paolo
    Carranza, Maria Laura
    REMOTE SENSING, 2025, 17 (05)
  • [4] Monitoring of vegetation coverage by multi-temporal remote sensing images: A case study of Yulin coal mine
    Chen, X. N.
    Yuan, X.
    Yang, Z. Y.
    LAND RECLAMATION IN ECOLOGICAL FRAGILE AREAS, 2017, : 163 - 166
  • [5] Human settlement analysis based on multi-temporal remote sensing data-a case study ofXuzhou, China
    Tan, Kun
    Zhu, Jishuai
    2015 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2015,
  • [6] Human settlement analysis based on multi-temporal remote sensing data: A case study of Xuzhou City, China
    Jishuai Zhu
    Shufang Tian
    Kun Tan
    Peijun Du
    Chinese Geographical Science, 2016, 26 : 389 - 400
  • [7] Human Settlement Analysis Based on Multi-temporal Remote Sensing Data: A Case Study of Xuzhou City, China
    Zhu Jishuai
    Tian Shufang
    Tan Kun
    Du Peijun
    CHINESE GEOGRAPHICAL SCIENCE, 2016, 26 (03) : 389 - 400
  • [8] Rice Yield Estimation Using Multi-Temporal Remote Sensing Data and Machine Learning: A Case Study of Jiangsu, China
    Liu, Zhangxin
    Ju, Haoran
    Ma, Qiyun
    Sun, Chengming
    Lv, Yuping
    Liu, Kaihua
    Wu, Tianao
    Cheng, Minghan
    AGRICULTURE-BASEL, 2024, 14 (04):
  • [9] Discharge estimation for medium-sized river using multi-temporal remote sensing data: a case study in Brazil
    Possa, Evelyn Marcia
    Maillard, Philippe
    de Oliveira, Lilia Maria
    HYDROLOGICAL SCIENCES JOURNAL, 2020, 65 (14) : 2402 - 2418
  • [10] Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China
    Wang, Xue
    Tan, Kun
    Xu, Kailei
    Chen, Yu
    Ding, Jianwei
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (03)