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Persistent Identifier
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perma:LIST.5VVPVN |
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Publication Date
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2026-07-06 |
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Title
| ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK [* Cross-Reference *] |
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Other Identifier
| https://doi.org/10.5194/isprs-archives-xli-b2-747-2016
OpenAlex ID: https://openalex.org/W2416227289 |
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Author
| Renee Obringer (Purdue University West Lafayette) - ORCID: https://orcid.org/0000-0002-4471-4131
X. Zhang (Purdue University West Lafayette, Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing) - ORCID: https://orcid.org/0000-0002-8380-8667
Kaniska Mallick (Luxembourg Institute of Science and Technology) - ORCID: https://orcid.org/0000-0002-2735-930X
Hamed Alemohammad (Massachusetts Institute of Technology) - ORCID: https://orcid.org/0000-0001-5662-3643
Dev Niyogi (Purdue University West Lafayette) - ORCID: https://orcid.org/0000-0002-1848-5080 |
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Point of Contact
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Use email button above to contact.
LIST QDKM (LIST) |
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Description
| Abstract. This study aims to integrate environmental data for drought monitoring to reduce uncertainty in urban drought characterization as part of the smart city framework. Currently, drought monitoring in urban areas is a challenge. This is due, in part, to a lack of knowledge on the subject of urban droughts and urban drought vulnerability. A critical part to assessing urban drought and implementing the necessary policies is determining drought conditions. Often the timing and severity of the drought can leave cities to enforce water restrictions, so accuracy of this determination has socioeconomic implications. To determine drought conditions, we need to know the water balance over the urban landscape, of which evapotranspiration (ET) is a key variable. However, ET data and models have high uncertainty when compared to other hydrological variables (i.e., precipitation). This is largely due to ill-defined empirical models for characterizing the urban surface resistance parameter (rs) that is used in ET calculations. We propose a method to estimate rs values using a combination of the Surface Temperature Initiated Closure (STIC) method that calculates regional evapotranspiration data and an inverted version of the Penman-Monteith equation. We use this approach across the region surrounding Indianapolis, IN (USA) from 2010-2014. We discuss the potential for this method to be integrated in to smart city framework to improve urban drought assessment. (2016-06-09)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.5194/isprs-archives-xli-b2-747-2016 for the original and latest version of the publication*** (2026-07-01) |
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Subject
| Earth and Environmental Sciences; Physics |
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Keyword
| Evapotranspiration
Environmental science
Vulnerability (computing)
Urban planning
Precipitation
Water balance
Water resources
Environmental resource management
Water resource management
Environmental planning
Computer science
Geography
Meteorology
Civil engineering
Ecology |
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Topic Classification
| Urban Heat Island Mitigation
Land Use and Ecosystem Services
Urban Stormwater Management Solutions |
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Deposit Date
| 2016-06-09 |
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Data Type
| Article |
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Data Source
| The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences |