Applications and Trends of Remote Sensing in Professional Urban Planning

Hoalst‐Pullen, Nancy; Patterson, Mark W.

doi:10.1111/j.1749-8198.2011.00422.x

Cited by 13 publications

(9 citation statements)

References 31 publications

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“…Two new sources of such data may come from remote sensing and citizen-generated maps and surveys. More-frequent and higherresolution imagery may help identify the type and quality of housing and physical infrastructure and track new construction (44)(45)(46). Working collaborations between local governments, communities, and civic organizations using new data collection, mapping, and reporting technologies will be essential to create detailed evidence that is accurate, verifiable, and expressive of residents' priorities (47,48).…”

Section: Discussion and Outlookmentioning

confidence: 99%

Heterogeneity and scale of sustainable development in cities

Brelsford

Lobo

Hand

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

167

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Rapid worldwide urbanization is at once the main cause and, potentially, the main solution to global sustainable development challenges. The growth of cities is typically associated with increases in socioeconomic productivity, but it also creates strong inequalities. Despite a growing body of evidence characterizing these heterogeneities in developed urban areas, not much is known systematically about their most extreme forms in developing cities and their consequences for sustainability. Here, we characterize the general patterns of income and access to services in a large number of developing cities, with an emphasis on an extensive, high-resolution analysis of the urban areas of Brazil and South Africa. We use detailed census data to construct sustainable development indices in hundreds of thousands of neighborhoods and show that their statistics are scale-dependent and point to the critical role of large cities in creating higher average incomes and greater access to services within their national context. We then quantify the general statistical trajectory toward universal basic service provision at different scales to show that it is characterized by varying levels of inequality, with initial increases in access being typically accompanied by growing disparities over characteristic spatial scales. These results demonstrate how extensions of these methods to other goals and data can be used over time and space to produce a simple but general quantitative assessment of progress toward internationally agreed sustainable development goals.neighborhoods | slums | urban services | spatial correlations | inequality T he current worldwide growth of cities presents at once an unprecedented historical opportunity for universal socioeconomic development and an immense challenge to global sustainability (1, 2). The mechanisms that generate improved living conditions and economic growth in cities-and that typically also increase overall energy and resource consumption-are still only partially understood (1-5) and remain hard to disentangle.Many recent studies have emphasized the environmental and geophysical adverse consequences of an increasing proportion of the planet's population living in cities and of the acceleration of this transformation in recent decades (6-8). The type and scope of these impacts vary but include air and water pollution, land-cover change, loss of natural habitats, strain on water resources, higher demand for energy, and rising greenhouse gas emissions (1,8,9).Conversely, the positive correlation between urbanization and many important dimensions of human development has also become increasingly clear. At the national level, the association between higher levels of urbanization and per capita economic productivity has been clear for some time (2). More recently, as city-scale data have become available, evidence has emerged for broader relationships between urbanization and better health, education, longer lifespans, and greater access to basic services, such as water or electricity, at lower...

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Section: Discussion and Outlookmentioning

confidence: 99%

Heterogeneity and scale of sustainable development in cities

Brelsford

Lobo

Hand

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

167

View full text Add to dashboard Cite

show abstract

“…The rapid rate of growth and magnitude of the urbanization of populations, and land cover transitions from more natural to more built, requires greater data and information about urban areas and human settlement, including higher frequency of urban areas observations ( Hoalst-Pullen & Patterson, 2011a ; Zhu et al., 2019 ). These data demands are, in part, driven by broader motivations similar to the SDG aim of making sure “no one is left behind” ( United Nations - Economic, 2016 ), with a specific goal to expand the availability and accessibility of base data to help facilitate the planning, implementation, and assessment of programs and applications to achieve the 2030 SDGs ( Scott & Rajabifard, 2017 ; United Nations, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Measuring the contribution of built-settlement data to global population mapping

Nieves

Bondarenko

Kerr

et al. 2021

Social Sciences & Humanities Open

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Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down population modelling methods often rely on remote-sensing (RS) derived representation of the built-environment and settlements as key predictive covariates. While these RS-derived data, which are global in extent, have become more advanced and more available, gaps in spatial and temporal coverage remain. These gaps have prompted the interpolation of the built-environment and settlements, but the utility of such interpolated data in further population modelling applications has garnered little research. Thus, our objective was to determine the utility of modelled built-settlement extents in a top-down population modelling application. Here we take modelled global built-settlement extents between 2000 and 2012, created using a spatio-temporal disaggregation of observed settlement growth. We then demonstrate the applied utility of such annually modelled settlement data within the application of annually modelling population, using random forest informed dasymetric disaggregations, across 172 countries and a 13-year period. We demonstrate that the modelled built-settlement data are consistently the 2nd most important covariate in predicting population density, behind annual lights at night, across the globe and across the study period. Further, we demonstrate that this modelled built-settlement data often provides more information than current annually available RS-derived data and last observed built-settlement extents.

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“…For example, Dramowicz et al (1993) have shown that 12% of planning programs worldwide have adopted GIS courses in their curriculum compared to 54% in geography. Despite increasing incorporation of GIS in the planning programs in the last 20 years (Hoalst-Pullen & Patterson, 2011), the progress has not been up to the mark with comparable disciplines. For example, recently Edwards and Bates (2011) found that only 5 (16%) planning programs, out of 30 surveyed, in the USA and Canada adopted GIS as a core planning method course at the post-graduate level.…”

Section: Introductionmentioning

confidence: 98%

Development of an integrated GIS and land use planning course: impacts of hybrid instructional methods

Kamruzzaman

2014

Journal of Geography in Higher Education

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This study reports an action research undertaken at Queensland University of Technology. It evaluates the effectiveness of the integration of geographic information systems (GIS) within the substantive domains of an existing land use planning course in 2011. Using student performance, learning experience survey, and questionnaire survey data, it also evaluates the impacts of incorporating hybrid instructional methods (e.g., in-class and online instructional videos) in 2012 and 2013. Results show that students (re)iterated the importance of GIS in the course justifying the integration; the hybrid methods significantly increased student performance; and unlike replacement, the videos are more suitable as a complement to in-class activity.

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Applications and Trends of Remote Sensing in Professional Urban Planning

Cited by 13 publications

References 31 publications

Heterogeneity and scale of sustainable development in cities

Heterogeneity and scale of sustainable development in cities

Measuring the contribution of built-settlement data to global population mapping

Development of an integrated GIS and land use planning course: impacts of hybrid instructional methods

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