Can satellite images provide useful information on refugee camps?

Giada, S.; Groeve, Tom De; Ehrlich, Daniele; Soille, Pierre

doi:10.1080/014311601101107134

Cited by 5 publications

(4 citation statements)

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“…Secondary Shape/Size/Texture Asymmetry and size of roofs [71], shape of roofs [149] NA Texton [46]; GLCM [109] NA Vegetation patch size [6] or percentage [111] To be explored Shadow sizes Size variations (diversity/evenness)…”

Section: Pattern Of Vegetation Covermentioning

confidence: 99%

“…The potential application areas for RS-based information on the morphology and temporal dynamics of slums are grouped into four major domains (Table 3, [21,54,77,120,[138][139][140][141][142][143][144][145][146][147][148][149][150][151][152]): economy, environment, governance and planning, and social applications. These domains reflect the reported spatial information needs and lack of information on slums in locally available data sets [84].…”

Section: Purposes Of Slum Mapping Using Remote Sensingmentioning

confidence: 99%

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Slums from Space—15 Years of Slum Mapping Using Remote Sensing

2016

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Abstract:The body of scientific literature on slum mapping employing remote sensing methods has increased since the availability of more very-high-resolution (VHR) sensors. This improves the ability to produce information for pro-poor policy development and to build methods capable of supporting systematic global slum monitoring required for international policy development such as the Sustainable Development Goals. This review provides an overview of slum mapping-related remote sensing publications over the period of 2000-2015 regarding four dimensions: contextual factors, physical slum characteristics, data and requirements, and slum extraction methods. The review has shown the following results. First, our contextual knowledge on the diversity of slums across the globe is limited, and slum dynamics are not well captured. Second, a more systematic exploration of physical slum characteristics is required for the development of robust image-based proxies. Third, although the latest commercial sensor technologies provide image data of less than 0.5 m spatial resolution, thereby improving object recognition in slums, the complex and diverse morphology of slums makes extraction through standard methods difficult. Fourth, successful approaches show diversity in terms of extracted information levels (area or object based), implemented indicator sets (single or large sets) and methods employed (e.g., object-based image analysis (OBIA) or machine learning). In the context of a global slum inventory, texture-based methods show good robustness across cities and imagery. Machine-learning algorithms have the highest reported accuracies and allow working with large indicator sets in a computationally efficient manner, while the upscaling of pixel-level information requires further research. For local slum mapping, OBIA approaches show good capabilities of extracting both area-and object-based information. Ultimately, establishing a more systematic relationship between higher-level image elements and slum characteristics is essential to train algorithms able to analyze variations in slum morphologies to facilitate global slum monitoring.Keywords: slums; informal areas; urban remote sensing; Global South; VHR imagery Global Urbanization and Slum Dynamics: The ContextCurrently, about one-quarter of the world's urban population lives in slums, which are defined by UN-Habitat as informal settlements [1] or areas deprived of access to safe water, acceptable sanitation, and durable housing; in addition to being areas that are overcrowded and lack land tenure security [2]. Over the last 15 years, there has been renewed interest in slum improvement and eradication by local and international organizations dealing with development issues. During this period, slums became a more prominent subject of remote sensing (RS) image analysis. Supported by increased availability of very-high-resolution (VHR) data and methodological advances, many RS studies [3][4][5][6][7][8] aimed to produce information on the geography and dynamics of slums. ...

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Section: Pattern Of Vegetation Covermentioning

confidence: 99%

Section: Purposes Of Slum Mapping Using Remote Sensingmentioning

confidence: 99%

Slums from Space—15 Years of Slum Mapping Using Remote Sensing

2016

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“…Environment  Environmental deprivation, e.g., (Mishra, Kuffer, Martinez, & Pfeffer, 2011)  Environmental protection, e.g., (Muriuki et al, 2011;Zeilhofer & Topanotti, 2008)  Hazards-vulnerability, e.g., (Ebert, Kerle, & Stein, 2009;Sakijege, Sartohadi, Marfai, Kassenga, & Kasala, 2014) Governance/ Planning  Land management-enumeration, e.g., (Karanja, 2010; Vuksanovic-Macura, 2012)  Planning interventions and growth models, e.g., (Abbott, 2003;Chitekwe-Biti, Mudimu, Nyama, & Jera, 2012)  Urban governance, e.g., Social  Health, e.g., (Angeles et al, 2009;Hassan, Nogoumy, & Kassem, 2013;Weeks et al, 2012)  Humanitarian, e.g., (Bramante & Raju, 2013;Giada et al, 2003a;  Quality of life and crime, e.g., (Adepoju et al, 2014;Rahman et al, 2011) …”

Section: )mentioning

confidence: 99%

Spatial patterns of deprivation in cities of the global south in very high resolution imagery

Kuffer

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“…Examples include an examination o f the pictures taken o f mass graves in Bosnia by US military satellites in the investigation o f the 1995 Srebrenica massacre (Parks, 2001) and the use o f satellite images to monitor refugee camps (Giada et al 2003a;2003b). These applications can also be seen as providing convenient revelations based on public relations needs that do not emerge from extensive on-going information requirements.…”

Section: Part V -Emerging Trends Since 2000mentioning

confidence: 99%

Securing the earth: contested discourses of an earth observation industry

Neil¹

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The author has granted a non exclusive license allowing Library and Archives Canada to reproduce, publish, archive, preserve, conserve, communicate to the public by telecommunication or on the Internet, loan, distribute and sell theses worldwide, for commercial or non commercial purposes, in microform, paper, electronic and/or any other formats. AVIS:L'auteur a accorde une licence non exclusive permettant a la Bibliotheque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par telecommunication ou par I'lnternet, preter, distribuer et vendre des theses partout dans le monde, a des fins commerciales ou autres, sur support microforme, papier, electronique et/ou autres formats. i * i CanadaReproduced with permission of the copyright owner. Further reproduction prohibited without permission.

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Can satellite images provide useful information on refugee camps?

Cited by 5 publications

References 0 publications

Slums from Space—15 Years of Slum Mapping Using Remote Sensing

Slums from Space—15 Years of Slum Mapping Using Remote Sensing

Spatial patterns of deprivation in cities of the global south in very high resolution imagery

Securing the earth: contested discourses of an earth observation industry

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