FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3031460843> ?p ?o ?g. }

• W3031460843 endingPage "106555" @default.
• W3031460843 startingPage "106555" @default.
• W3031460843 abstract "Abstract A harmful effect of anthropogenic activities in urban environments is the increases of thermal discomfort and subsequently, a negative effect on humans’ mental and physical performance. Therefore, it is of high importance to detect, monitor, and predict thermal discomfort, especially its temporal and spatial patterns in cities. The objective of this study is to propose a new method for modeling outdoor thermal comfort based on remote sensing and climatic datasets. To do so, several datasets were utilized, including those from Landsat, Moderate Resolution Imaging Spectroradiometer (MODIS), Digital Elevation Model (DEM) from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and climatic datasets from local meteorological stations. The method was experimented in the city of Tehran, Iran. For modeling outdoor thermal comfort, the Least Squares Adjustment (LSA) model was presented based on the Principle Component Analysis (PCA). In this model, the Principle Components (PCs) of the environmental and surface biophysical parameters were considered as independent variables and Discomfort Index (DI) as dependent variable. Finally, by determining the optimal values of the adjustment coefficients for each independent variable, maps of outdoor thermal comfort at different timestamps were produced and analyzed. The results of the modeling showed that correlation coefficient and Root Mean Square Error (RMSE) between the modeled and observed outdoor thermal comfort values at the meteorological stations for the training data sets were 0.86 and 1.80, for the testing data set were 0.89 and 2.04, respectively, while it was 0.85 and 1.15 for the self-deployed devices. The average values of DI in warm season of year was 8.5 °C higher than the cold season of the year. Further, in both warm and cold seasons of year the mean value of DI for bare land was found higher than other land covers, whereas that of water bodies lower than others. Our findings suggest that efficiency can be achieved for modeling outdoor thermal comfort using LSA with remote sensing and climatic datasets." @default.
• W3031460843 created "2020-06-05" @default.
• W3031460843 creator A5000189900 @default.
• W3031460843 creator A5004755532 @default.
• W3031460843 creator A5005491253 @default.
• W3031460843 creator A5057027850 @default.
• W3031460843 creator A5060492680 @default.
• W3031460843 creator A5081309221 @default.
• W3031460843 date "2020-10-01" @default.
• W3031460843 modified "2023-09-26" @default.
• W3031460843 title "Modeling outdoor thermal comfort using satellite imagery: A principle component analysis-based approach" @default.
• W3031460843 cites W1964217023 @default.
• W3031460843 cites W1969666701 @default.
• W3031460843 cites W1971240982 @default.
• W3031460843 cites W1978617972 @default.
• W3031460843 cites W1978942254 @default.
• W3031460843 cites W2027811510 @default.
• W3031460843 cites W2031990415 @default.
• W3031460843 cites W2033456168 @default.
• W3031460843 cites W2033782096 @default.
• W3031460843 cites W2038048163 @default.
• W3031460843 cites W2042525981 @default.
• W3031460843 cites W2044609898 @default.
• W3031460843 cites W2055894834 @default.
• W3031460843 cites W2063168709 @default.
• W3031460843 cites W2063623478 @default.
• W3031460843 cites W2067542652 @default.
• W3031460843 cites W2076447280 @default.
• W3031460843 cites W2079188404 @default.
• W3031460843 cites W2099145876 @default.
• W3031460843 cites W2110150043 @default.
• W3031460843 cites W2127125828 @default.
• W3031460843 cites W2152174305 @default.
• W3031460843 cites W2158537567 @default.
• W3031460843 cites W2173157294 @default.
• W3031460843 cites W2408818484 @default.
• W3031460843 cites W2411421743 @default.
• W3031460843 cites W2520888932 @default.
• W3031460843 cites W2530165053 @default.
• W3031460843 cites W2568271830 @default.
• W3031460843 cites W2618343721 @default.
• W3031460843 cites W2622614585 @default.
• W3031460843 cites W2729568655 @default.
• W3031460843 cites W2739312298 @default.
• W3031460843 cites W2746065157 @default.
• W3031460843 cites W2766146177 @default.
• W3031460843 cites W2792516663 @default.
• W3031460843 cites W2794527125 @default.
• W3031460843 cites W2795190787 @default.
• W3031460843 cites W2796866504 @default.
• W3031460843 cites W2801747952 @default.
• W3031460843 cites W2805046378 @default.
• W3031460843 cites W2890936640 @default.
• W3031460843 cites W2893115510 @default.
• W3031460843 cites W2908557613 @default.
• W3031460843 cites W2910461540 @default.
• W3031460843 cites W2918022889 @default.
• W3031460843 cites W2925103646 @default.
• W3031460843 cites W2941672770 @default.
• W3031460843 cites W2942359214 @default.
• W3031460843 cites W2944110300 @default.
• W3031460843 cites W2944479483 @default.
• W3031460843 cites W2947702069 @default.
• W3031460843 cites W2972868991 @default.
• W3031460843 cites W2980604345 @default.
• W3031460843 cites W2988553634 @default.
• W3031460843 cites W2994594516 @default.
• W3031460843 cites W3011122993 @default.
• W3031460843 cites W3011434677 @default.
• W3031460843 cites W3013237175 @default.
• W3031460843 cites W4298082496 @default.
• W3031460843 doi "https://doi.org/10.1016/j.ecolind.2020.106555" @default.
• W3031460843 hasPublicationYear "2020" @default.
• W3031460843 type Work @default.
• W3031460843 sameAs 3031460843 @default.
• W3031460843 citedByCount "31" @default.
• W3031460843 countsByYear W30314608432020 @default.
• W3031460843 countsByYear W30314608432021 @default.
• W3031460843 countsByYear W30314608432022 @default.
• W3031460843 countsByYear W30314608432023 @default.
• W3031460843 crossrefType "journal-article" @default.
• W3031460843 hasAuthorship W3031460843A5000189900 @default.
• W3031460843 hasAuthorship W3031460843A5004755532 @default.
• W3031460843 hasAuthorship W3031460843A5005491253 @default.
• W3031460843 hasAuthorship W3031460843A5057027850 @default.
• W3031460843 hasAuthorship W3031460843A5060492680 @default.
• W3031460843 hasAuthorship W3031460843A5081309221 @default.
• W3031460843 hasBestOaLocation W30314608431 @default.
• W3031460843 hasConcept C121332964 @default.
• W3031460843 hasConcept C127413603 @default.
• W3031460843 hasConcept C133913538 @default.
• W3031460843 hasConcept C146978453 @default.
• W3031460843 hasConcept C153294291 @default.
• W3031460843 hasConcept C168167062 @default.
• W3031460843 hasConcept C19269812 @default.
• W3031460843 hasConcept C205649164 @default.
• W3031460843 hasConcept C2778102629 @default.
• W3031460843 hasConcept C39432304 @default.

• next