A structural catalogue of the settlement morphology in refugee and IDP camps

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Geographical Information Science Pub Date : 2023-03-27 DOI:10.1080/13658816.2023.2189724
Matthias Weigand, Simon Worbis, M. Sapena, H. Taubenböck
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引用次数: 1

Abstract

Abstract In the past decade, the number of refugees and internally displaced people (IDP) has doubled. This prompted the construction of more refugee camps and the proliferation of existing camps with diverse structural morphologies. Satellite imagery and machine learning (ML) are increasingly utilized to map these camps. However, there exists no standardized inventory that systemizes the built-up structures of these camps. In this study, we conceptualize the settlement morphology of refugee and IDP camps from satellite images and create a structure catalogue. Using visual image interpretation (VII) of very-high-resolution and multitemporal imagery, we compile a global database of settlement structures from 285 camps across 1,053 observations. This catalogue is subsequently used to synthesize patterns in camp structures and temporal dynamics. The results show stark variations in settlement structures across camps. Despite some similar regional patterns, stark differences in morphologies are a testament to the global heterogeneous landscape of refugee and IDP camp structures. These findings highlight the importance of considering morphological differences in image analyses across camps in future designs of ML-based automated detection and monitoring efforts. Therein, the Structure Catalogue serves as an important foundation for future earth observation for humanitarian applications.
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难民和国内流离失所者营地定居形态的结构目录
摘要在过去十年中,难民和国内流离失所者的人数翻了一番。这促使建造了更多的难民营,并扩大了结构形态多样的现有难民营。卫星图像和机器学习(ML)越来越多地被用于绘制这些营地的地图。然而,没有标准化的清单来系统化这些营地的建筑结构。在这项研究中,我们从卫星图像中概念化了难民营和国内流离失所者营地的定居形态,并创建了一个结构目录。使用非常高分辨率和多时相图像的视觉图像解释(VII),我们汇编了一个全球数据库,其中包括1053次观测中285个营地的定居点结构。该目录随后被用于合成营地结构和时间动态的模式。结果显示,各营地的定居点结构存在明显差异。尽管有一些类似的区域模式,但形态上的明显差异证明了全球难民和国内流离失所者营地结构的异质性。这些发现强调了在未来设计基于ML的自动检测和监测工作时,考虑各营地图像分析中的形态学差异的重要性。其中,结构目录是未来用于人道主义应用的地球观测的重要基础。
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来源期刊
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍: International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
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