FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017830488> ?p ?o ?g. }

• W2017830488 endingPage "4267" @default.
• W2017830488 startingPage "4249" @default.
• W2017830488 abstract "Snow cover characteristics have significant effects on upwelling naturally emitted microwave radiation through processes of forward scattering. This study simulates numerically the electromagnetic responses from snow in the UK using the radiative transfer‐based semiempirical model developed at the Helsinki University of Technology (HUT), which takes into account the influence of soil surface, forest canopy and atmosphere on space‐borne observed brightness temperature by using empirical and semiempirical formulas. A sensitivity analysis of the HUT model was conducted to determine the most sensitive parameter affecting upwelling radiation from snow in the UK. The model‐based results were compared with observed Special Sensor Microwave Imager (SSM/I) brightness temperatures to better understand the SSM/I response to snow. The available ensemble of data required for input to the HUT model comprise surface physical temperature, ground level pressure and water vapour content, forest stem volume and land cover water fraction. Based on the sensitivity analyses, numerical parameters representing physical snow pack quantities (e.g. snow grain size, snow moisture and snow depth (SD)) were varied and the method of root mean square error (RMSE) minimization was used to invert the SD. The HUT model was applied to different days in 3 months (23–31 January, 1–5 and 26–27 February and 1–7 March 1995) of records of daily SD and SSM/I observations. The results show that the HUT model both underestimates and overestimates SD prediction. For the month of January 1995, the HUT model underestimated SD with a bias of −0.59 cm, whereas for February and March 1995 the HUT model overestimated the SD with a bias of 1.89 cm and 1.64 cm, respectively. This study demonstrates that microwave remote sensing of snow can be used successfully in the UK, where most research on snow cover is conducted by using a visible and infrared radiometer. It is also evident from this work that application of algorithms to snow pack monitoring needs local calibration for effective and reasonable results." @default.
• W2017830488 created "2016-06-24" @default.
• W2017830488 creator A5070365085 @default.
• W2017830488 creator A5090457739 @default.
• W2017830488 date "2008-06-14" @default.
• W2017830488 modified "2023-09-23" @default.
• W2017830488 title "Estimation of snow depth in the UK using the HUT snow emission model" @default.
• W2017830488 cites W1521627754 @default.
• W2017830488 cites W1569662687 @default.
• W2017830488 cites W1963770323 @default.
• W2017830488 cites W197033098 @default.
• W2017830488 cites W1972815424 @default.
• W2017830488 cites W1978269838 @default.
• W2017830488 cites W1978524841 @default.
• W2017830488 cites W1985834113 @default.
• W2017830488 cites W1990994937 @default.
• W2017830488 cites W1993816414 @default.
• W2017830488 cites W1995733755 @default.
• W2017830488 cites W1996291952 @default.
• W2017830488 cites W2008557399 @default.
• W2017830488 cites W2018547793 @default.
• W2017830488 cites W2035466844 @default.
• W2017830488 cites W2051814112 @default.
• W2017830488 cites W2068380000 @default.
• W2017830488 cites W2070904642 @default.
• W2017830488 cites W2080908843 @default.
• W2017830488 cites W2089334827 @default.
• W2017830488 cites W2090430602 @default.
• W2017830488 cites W2091250429 @default.
• W2017830488 cites W2091580992 @default.
• W2017830488 cites W2093223324 @default.
• W2017830488 cites W2096692652 @default.
• W2017830488 cites W2105169214 @default.
• W2017830488 cites W2111951939 @default.
• W2017830488 cites W2114915798 @default.
• W2017830488 cites W2118235452 @default.
• W2017830488 cites W2121056014 @default.
• W2017830488 cites W2123559469 @default.
• W2017830488 cites W2132468394 @default.
• W2017830488 cites W2138458213 @default.
• W2017830488 cites W2140739868 @default.
• W2017830488 cites W2146846308 @default.
• W2017830488 cites W2149241727 @default.
• W2017830488 cites W2166252673 @default.
• W2017830488 cites W2170127735 @default.
• W2017830488 cites W2174732504 @default.
• W2017830488 cites W2419345105 @default.
• W2017830488 cites W4251071582 @default.
• W2017830488 cites W59078114 @default.
• W2017830488 doi "https://doi.org/10.1080/01431160801891754" @default.
• W2017830488 hasPublicationYear "2008" @default.
• W2017830488 type Work @default.
• W2017830488 sameAs 2017830488 @default.
• W2017830488 citedByCount "27" @default.
• W2017830488 countsByYear W20178304882012 @default.
• W2017830488 countsByYear W20178304882013 @default.
• W2017830488 countsByYear W20178304882017 @default.
• W2017830488 countsByYear W20178304882019 @default.
• W2017830488 countsByYear W20178304882020 @default.
• W2017830488 countsByYear W20178304882022 @default.
• W2017830488 countsByYear W20178304882023 @default.
• W2017830488 crossrefType "journal-article" @default.
• W2017830488 hasAuthorship W2017830488A5070365085 @default.
• W2017830488 hasAuthorship W2017830488A5090457739 @default.
• W2017830488 hasConcept C120189094 @default.
• W2017830488 hasConcept C120665830 @default.
• W2017830488 hasConcept C121332964 @default.
• W2017830488 hasConcept C125245961 @default.
• W2017830488 hasConcept C127313418 @default.
• W2017830488 hasConcept C153294291 @default.
• W2017830488 hasConcept C197046000 @default.
• W2017830488 hasConcept C199390426 @default.
• W2017830488 hasConcept C205649164 @default.
• W2017830488 hasConcept C39432304 @default.
• W2017830488 hasConcept C53802167 @default.
• W2017830488 hasConcept C62520636 @default.
• W2017830488 hasConcept C62649853 @default.
• W2017830488 hasConcept C64649846 @default.
• W2017830488 hasConcept C74902906 @default.
• W2017830488 hasConcept C91586092 @default.
• W2017830488 hasConceptScore W2017830488C120189094 @default.
• W2017830488 hasConceptScore W2017830488C120665830 @default.
• W2017830488 hasConceptScore W2017830488C121332964 @default.
• W2017830488 hasConceptScore W2017830488C125245961 @default.
• W2017830488 hasConceptScore W2017830488C127313418 @default.
• W2017830488 hasConceptScore W2017830488C153294291 @default.
• W2017830488 hasConceptScore W2017830488C197046000 @default.
• W2017830488 hasConceptScore W2017830488C199390426 @default.
• W2017830488 hasConceptScore W2017830488C205649164 @default.
• W2017830488 hasConceptScore W2017830488C39432304 @default.
• W2017830488 hasConceptScore W2017830488C53802167 @default.
• W2017830488 hasConceptScore W2017830488C62520636 @default.
• W2017830488 hasConceptScore W2017830488C62649853 @default.
• W2017830488 hasConceptScore W2017830488C64649846 @default.
• W2017830488 hasConceptScore W2017830488C74902906 @default.
• W2017830488 hasConceptScore W2017830488C91586092 @default.
• W2017830488 hasIssue "14" @default.
• W2017830488 hasLocation W20178304881 @default.

• next