FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4225533213> ?p ?o ?g. }

• W4225533213 endingPage "5" @default.
• W4225533213 startingPage "1" @default.
• W4225533213 abstract "Snow is a critical contributor to the global water-energy budget with impacts on springtime flooding and water resource management practices. Laser altimetry [light detection and ranging (LiDAR)] is a remote-sensing technique that has demonstrated skill in monitoring snow depth, but the expense of purchasing and transporting traditional LiDAR equipment limits their operational use. In this work, we demonstrate that the LiDAR sensor installed on the Apple iPhone 12 Pro consumer smartphone is a real-time, handheld measurement instrument for accurately observing changes in snow depth. Two independent field experiments in Southern Ontario, Canada, found that the iPhone LiDAR was able to accurately capture daily changes in snow depth when compared to <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in situ</i> snow ruler measurements. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>In situ</i> and LiDAR comparisons of xs <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$n=75$ </tex-math></inline-formula> days at measurement site A exhibit a correlation of <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$r > 0.99$ </tex-math></inline-formula> , mean absolute bias less than 1 mm, and a root mean squared error (RMSE) of approximately 6 mm. A similar positive agreement was also noted at the second field study site for <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$n=16$ </tex-math></inline-formula> measurements over the same period. The high accuracy of the LiDAR sensor suggests that a mobile application could be developed which allows users to quickly scan a snow-covered area before and after a snowfall event and consequently use this data to aid in filling current observational gaps through a citizen-science-based approach to measuring changes in snow depth." @default.
• W4225533213 created "2022-05-05" @default.
• W4225533213 creator A5026970653 @default.
• W4225533213 creator A5072191049 @default.
• W4225533213 creator A5090457739 @default.
• W4225533213 date "2022-01-01" @default.
• W4225533213 modified "2023-10-18" @default.
• W4225533213 title "Evaluation of LiDAR-Derived Snow Depth Estimates From the iPhone 12 Pro" @default.
• W4225533213 cites W1847029641 @default.
• W4225533213 cites W2020780524 @default.
• W4225533213 cites W2093429038 @default.
• W4225533213 cites W2103520925 @default.
• W4225533213 cites W2174963011 @default.
• W4225533213 cites W2298325701 @default.
• W4225533213 cites W2324627161 @default.
• W4225533213 cites W2804751386 @default.
• W4225533213 cites W2963423786 @default.
• W4225533213 cites W2976599221 @default.
• W4225533213 cites W3036132532 @default.
• W4225533213 cites W3086228570 @default.
• W4225533213 cites W3178944016 @default.
• W4225533213 cites W3211863805 @default.
• W4225533213 cites W4238072240 @default.
• W4225533213 doi "https://doi.org/10.1109/lgrs.2022.3166665" @default.
• W4225533213 hasPublicationYear "2022" @default.
• W4225533213 type Work @default.
• W4225533213 citedByCount "8" @default.
• W4225533213 countsByYear W42255332132022 @default.
• W4225533213 countsByYear W42255332132023 @default.
• W4225533213 crossrefType "journal-article" @default.
• W4225533213 hasAuthorship W4225533213A5026970653 @default.
• W4225533213 hasAuthorship W4225533213A5072191049 @default.
• W4225533213 hasAuthorship W4225533213A5090457739 @default.
• W4225533213 hasBestOaLocation W42255332131 @default.
• W4225533213 hasConcept C105795698 @default.
• W4225533213 hasConcept C11413529 @default.
• W4225533213 hasConcept C121332964 @default.
• W4225533213 hasConcept C139945424 @default.
• W4225533213 hasConcept C153294291 @default.
• W4225533213 hasConcept C197046000 @default.
• W4225533213 hasConcept C205649164 @default.
• W4225533213 hasConcept C33923547 @default.
• W4225533213 hasConcept C39432304 @default.
• W4225533213 hasConcept C41008148 @default.
• W4225533213 hasConcept C51399673 @default.
• W4225533213 hasConcept C62649853 @default.
• W4225533213 hasConceptScore W4225533213C105795698 @default.
• W4225533213 hasConceptScore W4225533213C11413529 @default.
• W4225533213 hasConceptScore W4225533213C121332964 @default.
• W4225533213 hasConceptScore W4225533213C139945424 @default.
• W4225533213 hasConceptScore W4225533213C153294291 @default.
• W4225533213 hasConceptScore W4225533213C197046000 @default.
• W4225533213 hasConceptScore W4225533213C205649164 @default.
• W4225533213 hasConceptScore W4225533213C33923547 @default.
• W4225533213 hasConceptScore W4225533213C39432304 @default.
• W4225533213 hasConceptScore W4225533213C41008148 @default.
• W4225533213 hasConceptScore W4225533213C51399673 @default.
• W4225533213 hasConceptScore W4225533213C62649853 @default.
• W4225533213 hasLocation W42255332131 @default.
• W4225533213 hasOpenAccess W4225533213 @default.
• W4225533213 hasPrimaryLocation W42255332131 @default.
• W4225533213 hasRelatedWork W1964041166 @default.
• W4225533213 hasRelatedWork W2094658701 @default.
• W4225533213 hasRelatedWork W2140032575 @default.
• W4225533213 hasRelatedWork W2324627161 @default.
• W4225533213 hasRelatedWork W2351984678 @default.
• W4225533213 hasRelatedWork W2487834875 @default.
• W4225533213 hasRelatedWork W2748952813 @default.
• W4225533213 hasRelatedWork W2899084033 @default.
• W4225533213 hasRelatedWork W2950005168 @default.
• W4225533213 hasRelatedWork W4211143819 @default.
• W4225533213 hasVolume "19" @default.
• W4225533213 isParatext "false" @default.
• W4225533213 isRetracted "false" @default.
• W4225533213 workType "article" @default.