IDeaMapSudan: Geo-spatial modelling of urban poverty

M. Kuffer; Inas M. M. Ali; Asgad Gummah; A. Da Silva Mano; Wafa Sakhi; Ibrahim Kushieb; S. Girgin; Nuha Eltiny; Julia Kumi; Mosub Abdallah; Maysoon Bad; Fatima Ahmed; Mustafa Hamza; Jon Wang; Taha Elzaki; C. Gevaert; Charlotte Flasse

doi:10.1109/JURSE57346.2023.10144211

IDeaMapSudan: Geo-spatial modelling of urban poverty

M. Kuffer, Inas M. M. Ali, Asgad Gummah, A. Da Silva Mano, Wafa Sakhi, Ibrahim Kushieb, S. Girgin, Nuha Eltiny, Julia Kumi, Mosub Abdallah, Maysoon Bad, Fatima Ahmed, Mustafa Hamza, Jon Wang, Taha Elzaki, C. Gevaert, Charlotte Flasse

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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104 Downloads (Pure)

Abstract

Khartoum, Sudan, is one of the fast-growing African metropolises, with a massive increase in its population from around 245,000 in 1956, to over 8 million in 2022 (Khartoum State). This urban growth is driven by rural-urban migration instigated by climate change, conflicts, and forced displacement, pushing rural populations into urban areas. The growing population often ends up in deprived urban areas that lack adequate housing, services, infrastructure, etc. Spatial data to support sustainable urban development strategies are limited. In response, IDeaMapSudan was launched in 2020 as a collaboration between the Sudan Urban Development Think-Tank, Ministries of Social Development, Physical Planning (Khartoum State), Infrastructure and Transport, and the Faculty Geo-Information Science and Earth Observation Science (ITC) at the University of Twente and partners from the Université Libre de Bruxelles and the African Population and Health Research Center. IDeaMapSudan aims to develop a geospatial information system for mapping deprived areas. For this purpose, a multi-level deprivation model based on open geospatial data is created. Data as part of the information system are made available via standard web services (e.g., OGC WMS/WFS) and web applications (Geoserver and Geonode) to support local stakeholders and encourage data exchange on urban development questions.

Original language	English
Title of host publication	2023 Joint Urban Remote Sensing Event (JURSE)
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	978-1-6654-9373-4
ISBN (Print)	978-1-6654-9374-1
DOIs	https://doi.org/10.1109/JURSE57346.2023.10144211
Publication status	Published - 8 Jun 2023
Event	Joint Urban Remote Sensing Event, JURSE 2023 - Heraklion, Greece Duration: 17 May 2023 → 19 May 2023 http://jurse2023.org/

Conference

Conference	Joint Urban Remote Sensing Event, JURSE 2023
Abbreviated title	JURSE 2023
Country/Territory	Greece
City	Heraklion
Period	17/05/23 → 19/05/23
Internet address	http://jurse2023.org/

Keywords

2023 OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/JURSE57346.2023.10144211

IDeaMapSudan_Geo-Spatial_Modelling_of_Urban_PovertyFinal published version, 1.26 MBLicence: Taverne

Cite this

Kuffer, M., Ali, I. M. M., Gummah, A., Da Silva Mano, A., Sakhi, W., Kushieb, I., Girgin, S., Eltiny, N., Kumi, J., Abdallah, M., Bad, M., Ahmed, F., Hamza, M., Wang, J., Elzaki, T., Gevaert, C., & Flasse, C. (2023). IDeaMapSudan: Geo-spatial modelling of urban poverty. In 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. https://doi.org/10.1109/JURSE57346.2023.10144211

@inproceedings{10951737b2184c86b5538bd1dcd8f643,

title = "IDeaMapSudan: Geo-spatial modelling of urban poverty",

abstract = "Khartoum, Sudan, is one of the fast-growing African metropolises, with a massive increase in its population from around 245,000 in 1956, to over 8 million in 2022 (Khartoum State). This urban growth is driven by rural-urban migration instigated by climate change, conflicts, and forced displacement, pushing rural populations into urban areas. The growing population often ends up in deprived urban areas that lack adequate housing, services, infrastructure, etc. Spatial data to support sustainable urban development strategies are limited. In response, IDeaMapSudan was launched in 2020 as a collaboration between the Sudan Urban Development Think-Tank, Ministries of Social Development, Physical Planning (Khartoum State), Infrastructure and Transport, and the Faculty Geo-Information Science and Earth Observation Science (ITC) at the University of Twente and partners from the Universit{\'e} Libre de Bruxelles and the African Population and Health Research Center. IDeaMapSudan aims to develop a geospatial information system for mapping deprived areas. For this purpose, a multi-level deprivation model based on open geospatial data is created. Data as part of the information system are made available via standard web services (e.g., OGC WMS/WFS) and web applications (Geoserver and Geonode) to support local stakeholders and encourage data exchange on urban development questions.",

keywords = "2023 OA procedure",

author = "M. Kuffer and Ali, {Inas M. M.} and Asgad Gummah and {Da Silva Mano}, A. and Wafa Sakhi and Ibrahim Kushieb and S. Girgin and Nuha Eltiny and Julia Kumi and Mosub Abdallah and Maysoon Bad and Fatima Ahmed and Mustafa Hamza and Jon Wang and Taha Elzaki and C. Gevaert and Charlotte Flasse",

note = "Funding Information: The results were produced with the OKP-funded training project IDeaMapSudan. The Geospatial Computing Platform of ITC was used for the majority of data pre-processing and geospatial analysis tasks [21]. All data and training materials are open-access available at https://www.idea-maps.net and https://zenodo.org/communities/ideamap-sudan/. Publisher Copyright: {\textcopyright} 2023 IEEE.; Joint Urban Remote Sensing Event, JURSE 2023, JURSE 2023 ; Conference date: 17-05-2023 Through 19-05-2023",

year = "2023",

month = jun,

day = "8",

doi = "10.1109/JURSE57346.2023.10144211",

language = "English",

isbn = "978-1-6654-9374-1",

pages = "1--4",

booktitle = "2023 Joint Urban Remote Sensing Event (JURSE)",

publisher = "IEEE",

address = "United States",

url = "http://jurse2023.org/",

}

Kuffer, M, Ali, IMM, Gummah, A, Da Silva Mano, A, Sakhi, W, Kushieb, I, Girgin, S, Eltiny, N, Kumi, J, Abdallah, M, Bad, M, Ahmed, F, Hamza, M, Wang, J, Elzaki, T, Gevaert, C & Flasse, C 2023, IDeaMapSudan: Geo-spatial modelling of urban poverty. in 2023 Joint Urban Remote Sensing Event (JURSE). IEEE, pp. 1-4, Joint Urban Remote Sensing Event, JURSE 2023, Heraklion, Greece, 17/05/23. https://doi.org/10.1109/JURSE57346.2023.10144211

TY - GEN

T1 - IDeaMapSudan

T2 - Joint Urban Remote Sensing Event, JURSE 2023

AU - Kuffer, M.

AU - Ali, Inas M. M.

AU - Gummah, Asgad

AU - Da Silva Mano, A.

AU - Sakhi, Wafa

AU - Kushieb, Ibrahim

AU - Girgin, S.

AU - Eltiny, Nuha

AU - Kumi, Julia

AU - Abdallah, Mosub

AU - Bad, Maysoon

AU - Ahmed, Fatima

AU - Hamza, Mustafa

AU - Wang, Jon

AU - Elzaki, Taha

AU - Gevaert, C.

AU - Flasse, Charlotte

N1 - Funding Information: The results were produced with the OKP-funded training project IDeaMapSudan. The Geospatial Computing Platform of ITC was used for the majority of data pre-processing and geospatial analysis tasks [21]. All data and training materials are open-access available at https://www.idea-maps.net and https://zenodo.org/communities/ideamap-sudan/. Publisher Copyright: © 2023 IEEE.

PY - 2023/6/8

Y1 - 2023/6/8

N2 - Khartoum, Sudan, is one of the fast-growing African metropolises, with a massive increase in its population from around 245,000 in 1956, to over 8 million in 2022 (Khartoum State). This urban growth is driven by rural-urban migration instigated by climate change, conflicts, and forced displacement, pushing rural populations into urban areas. The growing population often ends up in deprived urban areas that lack adequate housing, services, infrastructure, etc. Spatial data to support sustainable urban development strategies are limited. In response, IDeaMapSudan was launched in 2020 as a collaboration between the Sudan Urban Development Think-Tank, Ministries of Social Development, Physical Planning (Khartoum State), Infrastructure and Transport, and the Faculty Geo-Information Science and Earth Observation Science (ITC) at the University of Twente and partners from the Université Libre de Bruxelles and the African Population and Health Research Center. IDeaMapSudan aims to develop a geospatial information system for mapping deprived areas. For this purpose, a multi-level deprivation model based on open geospatial data is created. Data as part of the information system are made available via standard web services (e.g., OGC WMS/WFS) and web applications (Geoserver and Geonode) to support local stakeholders and encourage data exchange on urban development questions.

AB - Khartoum, Sudan, is one of the fast-growing African metropolises, with a massive increase in its population from around 245,000 in 1956, to over 8 million in 2022 (Khartoum State). This urban growth is driven by rural-urban migration instigated by climate change, conflicts, and forced displacement, pushing rural populations into urban areas. The growing population often ends up in deprived urban areas that lack adequate housing, services, infrastructure, etc. Spatial data to support sustainable urban development strategies are limited. In response, IDeaMapSudan was launched in 2020 as a collaboration between the Sudan Urban Development Think-Tank, Ministries of Social Development, Physical Planning (Khartoum State), Infrastructure and Transport, and the Faculty Geo-Information Science and Earth Observation Science (ITC) at the University of Twente and partners from the Université Libre de Bruxelles and the African Population and Health Research Center. IDeaMapSudan aims to develop a geospatial information system for mapping deprived areas. For this purpose, a multi-level deprivation model based on open geospatial data is created. Data as part of the information system are made available via standard web services (e.g., OGC WMS/WFS) and web applications (Geoserver and Geonode) to support local stakeholders and encourage data exchange on urban development questions.

KW - 2023 OA procedure

U2 - 10.1109/JURSE57346.2023.10144211

DO - 10.1109/JURSE57346.2023.10144211

M3 - Conference contribution

SN - 978-1-6654-9374-1

SP - 1

EP - 4

BT - 2023 Joint Urban Remote Sensing Event (JURSE)

PB - IEEE

Y2 - 17 May 2023 through 19 May 2023

ER -

IDeaMapSudan: Geo-spatial modelling of urban poverty

Abstract

Conference

Keywords

UN SDGs

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