A new approach to LST modeling and normalization under clear-sky conditions based on a local optimization strategy Article Swipe
Majid Kiavarz
,
Mohammad Karimi Firozjaei
,
Seyed Kazem Alavipanah
,
Quazi K. Hassan
,
Yoann Malbéteau
,
Si‐Bo Duan
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1080/17538947.2022.2137254
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1080/17538947.2022.2137254
The normalization of LST relative to environmental parameters is of great importance in various environmental applications. The purpose of this study was to develop a new approach for LST normalization relative to environmental variables. These included topographic variables (i.e. solar irradiance and near-surface temperature lapse rate (NSTLR)) as well as biophysical properties (i.e. vegetation, wetness, and albedo). The study was conducted in two phases, namely (1) using global and (2) local optimization strategies to calculate the regression coefficients of environmental variables in the partial least squares regression (PLSR) and build the non-linear linking model in the random forest regression (RFR). The RMSEs between actual LST and modeled LST based on the global and local optimization strategies using PLSR (RFR) were 2.202 (0.935) and 0.939 (0.835) °C, respectively. The results showed that RFR had higher efficiency than PLSR in normalizing LST. Moreover, the local optimization method outperformed the global optimization method in terms of normalization accuracy. The results of this study could be very useful in many environmental applications such as identifying thermal anomalies, and surface anthropogenic heat island modeling.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/17538947.2022.2137254
- OA Status
- gold
- Cited By
- 5
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4308999170
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4308999170Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/17538947.2022.2137254Digital Object Identifier
- Title
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A new approach to LST modeling and normalization under clear-sky conditions based on a local optimization strategyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-14Full publication date if available
- Authors
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Majid Kiavarz, Mohammad Karimi Firozjaei, Seyed Kazem Alavipanah, Quazi K. Hassan, Yoann Malbéteau, Si‐Bo DuanList of authors in order
- Landing page
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https://doi.org/10.1080/17538947.2022.2137254Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1080/17538947.2022.2137254Direct OA link when available
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Normalization (sociology), Partial least squares regression, Random forest, Environmental science, Regression, Albedo (alchemy), Mathematics, Statistics, Computer science, Artificial intelligence, Performance art, Anthropology, Art history, Art, SociologyTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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