Effects of Land Use Data Spatial Resolution on SDG Indicator 11.3.1 (Urban Expansion) Assessments: A Case Study Across Ethiopia
department or school: Forestry, Faculty of
department or school: Non UBC
department or school: Forest Resources Management, Department of
data provider: DSpace
identifier citation: Sustainability 16 (22): 9698 (2024)
creator: Cardenas-Ritzert, Orion S. E.
creator: Vogeler, Jody C.
creator: Shah Heydari, Shahriar
creator: Fekety, Patrick A.
creator: Laituri, Melinda
creator: McHale, Melissa R.
issued: 2024-11-29T21:08:20Z
issued: 2024-11-07
description: Geospatial data play a significant role in the United Nation’s Sustainable Development Goals, particularly through assessments of monitoring indicators. Sustainable Development Goal (SDG) Indicator 11.3.1 assessments utilize land and population geospatial data to monitor urban expansion, and were implemented to enhance inclusive and sustainable urbanization, and capacity for participatory, integrated and sustainable human settlement planning and management in all countries by 2030. Data-limited countries often rely on accessible, wide-coverage geospatial datasets for SDG Indicator 11.3.1 assessments which may have characteristics (e.g., coarse spatial resolution) influential to assessment outcomes. The presented work examines the effect of land use data spatial resolution on SDG Indicator 11.3.1 assessment components including urban area delineation, SDG Indicator 11.3.1 and supporting spatial metrics, spatial patterns of urban land development, and land use change patterns for urbanizing areas in Ethiopia from 2016 to 2020. A comparison was made between a single land use map at the spatial resolution in which it was originally produced, 30 m, and at a majority-resampled spatial resolution comparable to many global coverage datasets, 90 m. Analyses revealed changes in the urban areas identified, observed boundaries of urban areas, and all quantified metrics from 30 m resolution to 90 m resolution, with the decrease in resolution resulting in smaller urban areas being missed and differences in the delineated hinterland areas connected to an urban core. Statistical testing indicated significant differences in SDG Indicator 11.3.1 values, developed land use area per capita, and spatial patterns of urban development between the two spatial resolutions. The relative order of land use conversion types remained similar across both resolutions, with agricultural land experiencing the greatest conversion to developed land, followed by rangeland and forest, although the total…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/89755
note: Citation: Cardenas-Ritzert, O.S.E.;Vogeler, J.C.; Shah Heydari, S.; Fekety,P.A.; Laituri, M.; McHale, M.R. Effectsof Land Use Data Spatial Resolutionon SDG Indicator 11.3.1 (UrbanExpansion) Assessments: A CaseStudy Across Ethiopia. Sustainability2024, 16, 9698. https://doi.org/10.3390/su16229698Academic Editor: Jinyao LinReceived: 1 October 2024Revised: 31 October 2024Accepted: 2 November 2024Published: 7 November 2024Copyright: © 2024 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).ArticleEffects of Land Use Data Spatial Resolution on SDG Indicator11.3.1 (Urban Expansion) Assessments: A Case StudyAcross EthiopiaOrion S. E. Cardenas-Ritzert 1,* , Jody C. Vogeler 1 , Shahriar Shah Heydari 1 , Patrick A. Fekety 1,Melinda Laituri 2 and Melissa R. McHale 31 Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA;jody.vogeler@colostate.edu (J.C.V.); shahriar.shah_heydari@colostate.edu (S.S.H.);patrick.fekety@colostate.edu (P.A.F.)2 Department of Ecosystem Science and Sustainability, Colorado State University,Fort Collins, CO 80523-1476, USA; melinda.laituri@colostate.edu3 Department of Forest Resources Management, University of British Columbia,Vancouver, BC V6T 1Z4, Canada; melissa.mchale@ubc.ca* Correspondence: orion.cardenas-ritzert@colostate.eduAbstract: Geospatial data play a significant role in the United Nation’s Sustainable DevelopmentGoals, particularly through assessments of monitoring indicators. Sustainable Development Goal(SDG) Indicator 11.3.1 assessments utilize land and population geospatial data to monitor urbanexpansion, and were implemented to enhance inclusive and sustainable urbanization, and capacityfor participatory, integrated and sustainable human settlement planning and management in allcountries by 2030. Data-limited countries o…
has type: Article
is shown at: 10.14288/1.0447373
language: eng
peer review status: Reviewed
provider: Vancouver : University of British Columbia Library
publisher: Multidisciplinary Digital Publishing Institute
publisher DOI: 10.3390/su16229698
rights: CC BY 4.0
rights URI: https://creativecommons.org/licenses/by/4.0/
scholar level: Faculty
scholar level: Researcher
subject: urban SDG
subject: land use change
subject: spatial SDG
type: Text
identifier URI: http://hdl.handle.net/2429/89755