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The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries
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Kuffer, Monika, Thomson, Dana R., Boo, Gianluca, Mahabir, Ron, Grippa, Taïs, Vanhuysse, Sabine, Engstrom, Ryan, Ndugwa, Robert, Makau, Jack, Darin, Edith, de Albuquerque, João Porto and Kabaria, Caroline (2020) The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries. Remote Sensing, 12 (6). 982. doi:10.3390/rs12060982 ISSN 2072-4292.
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Official URL: http://dx.doi.org/10.3390/rs12060982
Abstract
Urbanization in the global South has been accompanied by the proliferation of vast informal and marginalized urban areas that lack access to essential services and infrastructure. UN-Habitat estimates that close to a billion people currently live in these deprived and informal urban settlements, generally grouped under the term of urban slums. Two major knowledge gaps undermine the efforts to monitor progress towards the corresponding sustainable development goal (i.e., SDG 11—Sustainable Cities and Communities). First, the data available for cities worldwide is patchy and insufficient to differentiate between the diversity of urban areas with respect to their access to essential services and their specific infrastructure needs. Second, existing approaches used to map deprived areas (i.e., aggregated household data, Earth observation (EO), and community-driven data collection) are mostly siloed, and, individually, they often lack transferability and scalability and fail to include the opinions of different interest groups. In particular, EO-based-deprived area mapping approaches are mostly top-down, with very little attention given to ground information and interaction with urban communities and stakeholders. Existing top-down methods should be complemented with bottom-up approaches to produce routinely updated, accurate, and timely deprived area maps. In this review, we first assess the strengths and limitations of existing deprived area mapping methods. We then propose an Integrated Deprived Area Mapping System (IDeAMapS) framework that leverages the strengths of EO- and community-based approaches. The proposed framework offers a way forward to map deprived areas globally, routinely, and with maximum accuracy to support SDG 11 monitoring and the needs of different interest groups.
Item Type: | Journal Article | ||||||
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Subjects: | G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography H Social Sciences > HA Statistics H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HT Communities. Classes. Races H Social Sciences > HV Social pathology. Social and public welfare Q Science > QA Mathematics |
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Divisions: | Faculty of Arts > School for Cross-faculty Studies Faculty of Arts > School for Cross-faculty Studies > Institute for Global Sustainable Development |
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Library of Congress Subject Headings (LCSH): | Slums, City planning -- Remote sensing, Urban geography -- Remote sensing, Land use, Urban -- Remote sensing, Spatial analysis (Statistics) , Remote sensing | ||||||
Journal or Publication Title: | Remote Sensing | ||||||
Publisher: | M D P I AG | ||||||
ISSN: | 2072-4292 | ||||||
Official Date: | 18 March 2020 | ||||||
Dates: |
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Volume: | 12 | ||||||
Number: | 6 | ||||||
Article Number: | 982 | ||||||
DOI: | 10.3390/rs12060982 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 20 April 2020 | ||||||
Date of first compliant Open Access: | 20 April 2020 | ||||||
RIOXX Funder/Project Grant: |
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