Estimating urban areas: New insights from very high-resolution human settlement data

Roy Chowdhury, Pranab K.; Bhaduri, Budhendra L.; McKee, Jacob J.

doi:10.1016/j.rsase.2018.03.002

Title: Estimating urban areas: New insights from very high-resolution human settlement data

Abstract

Estimation of the built-up areas is fundamental to studying urbanization and the concomitant impacts on our rapidly changing planet. Local-scale mapping of the built-up areas elucidates spatially distinct patterns of urban densification as well as peri-urban growth, where the most socially vulnerable population traditionally resides, and helps to ensure sustainable and equitable urban development. Due to the scale and spatial dependency of urban processes, most land use and land cover (LULC) data produced at national and regional scales cannot adequately capture this local variation which is readily observed in very high-resolution (≤0.5 m) remotely sensed images.Our study investigates whether human settlement data derived from very high-resolution images provide unique understanding in the mapping of built-up areas and further the knowledge of human signatures at local levels. We selected two disparate geographies, Egypt and Taiwan, for which we analyzed four datasets representing human settlements at different spatial resolutions. Our analysis of urban morphology is based on aggregation, complexity, and contiguity of built-up areas on these settlement data and conducted at multiple spatial scales corresponding to the original resolution of the datasets. The results indicate that estimates of the total built-up area are severely misconceived, with most anomalies occurring along fringe areas.more »« less

Authors:: Roy Chowdhury, Pranab K.; Bhaduri, Budhendra L.; McKee, Jacob J.

Publication Date:: Sun Apr 01 00:00:00 EDT 2018

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1435852

Alternate Identifier(s):: OSTI ID: 1471943

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Published Article

Journal Name:: Remote Sensing Applications: Society and Environment

Additional Journal Information:: Journal Name: Remote Sensing Applications: Society and Environment Journal Volume: 10 Journal Issue: C; Journal ID: ISSN 2352-9385

Publisher:: Elsevier

Country of Publication:: Niger

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; Human settlement; Built-up area estimate; Urban dynamics; High-resolution mapping

Citation Formats


                    Roy Chowdhury, Pranab K., Bhaduri, Budhendra L., and McKee, Jacob J. Estimating urban areas: New insights from very high-resolution human settlement data.  Niger: N. p., 2018. 
Web.  doi:10.1016/j.rsase.2018.03.002.

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                    Roy Chowdhury, Pranab K., Bhaduri, Budhendra L., & McKee, Jacob J. Estimating urban areas: New insights from very high-resolution human settlement data.  Niger.  https://doi.org/10.1016/j.rsase.2018.03.002

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                    Roy Chowdhury, Pranab K., Bhaduri, Budhendra L., and McKee, Jacob J. Sun .  
"Estimating urban areas: New insights from very high-resolution human settlement data".  Niger.  https://doi.org/10.1016/j.rsase.2018.03.002.

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@article{osti_1435852,

  title        = {Estimating urban areas: New insights from very high-resolution human settlement data},

  author       = {Roy Chowdhury, Pranab K. and Bhaduri, Budhendra L. and McKee, Jacob J.},

  abstractNote = {Estimation of the built-up areas is fundamental to studying urbanization and the concomitant impacts on our rapidly changing planet. Local-scale mapping of the built-up areas elucidates spatially distinct patterns of urban densification as well as peri-urban growth, where the most socially vulnerable population traditionally resides, and helps to ensure sustainable and equitable urban development. Due to the scale and spatial dependency of urban processes, most land use and land cover (LULC) data produced at national and regional scales cannot adequately capture this local variation which is readily observed in very high-resolution (≤0.5 m) remotely sensed images.Our study investigates whether human settlement data derived from very high-resolution images provide unique understanding in the mapping of built-up areas and further the knowledge of human signatures at local levels. We selected two disparate geographies, Egypt and Taiwan, for which we analyzed four datasets representing human settlements at different spatial resolutions. Our analysis of urban morphology is based on aggregation, complexity, and contiguity of built-up areas on these settlement data and conducted at multiple spatial scales corresponding to the original resolution of the datasets. The results indicate that estimates of the total built-up area are severely misconceived, with most anomalies occurring along fringe areas. Here, this work also illustrates the potential of high-resolution datasets to provide new insight into urban dynamics, through determining new measures of built-up area and identifying complex urban and peri-urban patterns that were previously undetected.},

  doi          = {10.1016/j.rsase.2018.03.002},

  journal      = {Remote Sensing Applications: Society and Environment},

  number       = C,

  volume       = 10,

  place        = {Niger},

  year         = {Sun Apr 01 00:00:00 EDT 2018},

  month        = {Sun Apr 01 00:00:00 EDT 2018}

}

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DOI: 10.1371/journal.pone.0208487

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Similar Records

Title: Estimating urban areas: New insights from very high-resolution human settlement data

Abstract

Citation Formats

Classifying settlement types from multi-scale spatial patterns of building footprints journal, May 2020

Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010 journal, December 2018

Classifying settlement types from multi-scale spatial patterns of building footprints
journal, May 2020

Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010
journal, December 2018