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Author Qiang, Y.; Huang, Q.; Xu, J.
Title Observing Community Resilience from Space: Using Nighttime Lights to Model Economic Disturbance and Recovery Pattern in Natural Disaster Type Journal Article
Year 2020 Publication (down) Sustainable Cities and Society Abbreviated Journal Sustainable Cities and Society
Volume in press Issue Pages
Keywords Remote Sensing
Abstract A major challenge for measuring community resilience is the lack of empirical observation in disasters. As an effective tool for observing human activities on the earth surface, night-time light (NTL) remote sensing images can fill the gap of empirical data for measuring community resilience in natural disasters. This study introduces a quantitative framework to model the recovery pattern of economic activity in a natural disaster using the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) images. The utility of the framework is demonstrated in a case study of Hurricane Katrina, which uncovered the great economic impact of Katrina and spatial variation of the disturbance and recovery pattern of economic activity. Environmental and socio-economic factors that potentially influence the economic recovery were explored in statistical analyses. Instead of a static and holistic index, the framework measures resilience as a dynamic process. The analysis results provide actionable information for prompting resilience in diverse communities and in different phases of a disaster. In addition to Hurricane Katrina, the resilience modeling framework is applicable for other disaster types. The introduced approaches and findings increase our understanding about the complexity of community resilience and provide support for developing resilient and sustainable communities.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2210-6707 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2833
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Author Sun, Y.; Wang, S.; Wang, Y.
Title Estimating local-scale urban heat island intensity using nighttime light satellite imageries Type Journal Article
Year 2020 Publication (down) Sustainable Cities and Society Abbreviated Journal Sustainable Cities and Society
Volume 57 Issue Pages in press
Keywords Remote Sensing
Abstract Urban heat island (UHI) effect tends to harm health, increase anthropogenic energy consumption, and water consumption. Some policies targeting UHI mitigation have been implemented for a few years and thus needs to be evaluated for changes or modifications in the future. A low-cost approach to rapidly monitoring UHI intensity variations can assist in evaluating policy implementations. In this study, we proposed a new approach to local-scale UHI intensity estimates by using nighttime light satellite imageries. We explored to what extent UHI intensity could be estimated according to nighttime light intensity at two local scales. We attempted to estimate district-level and neighbourhood-level UHI intensity across London and Paris. As the geography level rises from district to neighbourhood, the capacity of the models explaining the variations of the UHI intensity decreases. Although the possible presence of residual spatial autocorrelation in the conventional regression models applied to geospatial data, most of the studies are likely to neglect this issue when fitting data to models. To remove negative effects of the residual spatial autocorrelation, this study used spatial regression models instead of non-spatial regression models (e.g., OLS models) to estimate UHI intensity. As a result, district-level UHI intensity was successfully estimated according to nighttime light intensity (approximately R2 = 0.7, MAE =1.16 °C, and RMSE =1.74 °C).
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2210-6707 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2849
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Author Ghosh, T.; Anderson, S.; Elvidge, C.; Sutton, P.
Title Using Nighttime Satellite Imagery as a Proxy Measure of Human Well-Being Type Journal Article
Year 2013 Publication (down) Sustainability Abbreviated Journal Sustainability
Volume 5 Issue 12 Pages 4988-5019
Keywords Remote Sensing
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2071-1050 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kagoburian @ Serial 941
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Author Tan, M.
Title Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data Type Journal Article
Year 2015 Publication (down) Sustainability Abbreviated Journal Sustainability
Volume 7 Issue 7 Pages 8768-8781
Keywords Remote Sensing
Abstract
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2071-1050 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ christopher.kyba @ Serial 1201
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Author Xu, H.; Yang, H.; Li, X.; Jin, H.; Li, D.
Title Multi-Scale Measurement of Regional Inequality in Mainland China during 2005-2010 Using DMSP/OLS Night Light Imagery and Population Density Grid Data Type Journal Article
Year 2015 Publication (down) Sustainability Abbreviated Journal Sustainability
Volume 7 Issue 10 Pages 13469-13499
Keywords remote sensing
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2071-1050 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1280
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