Matches in SemOpenAlex for { <https://semopenalex.org/work/W2166195759> ?p ?o ?g. }
- W2166195759 endingPage "267" @default.
- W2166195759 startingPage "254" @default.
- W2166195759 abstract "A major limitation in mapping snow-covered area (SCA) when using optical satellite sensors is encountered in forested areas, particularly during snowmelt. Consequently, using land cover information to map snow in heterogeneous environments that include dense forest might provide a solution. This study investigated the National Aeronautics and Space Administration (NASA) Goddard Space Flight Center version 4 snow mapping algorithm developed for the moderate resolution imaging spectroradiometer (MODIS) Terra sensor. The functionality of this algorithm for mapping snow during the snowmelt period in the northern boreal forest of Manitoba was tested by comparing the results of this algorithm with those produced by two other algorithms that rely on land cover data instead of the normalized difference vegetation index (NDVI). Comparisons are also made between these three algorithms and the SCA provided by the MOD10A1 MODIS Terra product. For the 2001 snowmelt period, the results from the algorithms and the Terra product showed no noticeable difference in the amount of SCA predicted, but a difference of as much as 20% existed over the 2002 melt period, with the MODIS product predicting more snow than the algorithms. Atmospheric corrections and thresholds used to detect dark targets also had noticeable influences on the amount of SCA predicted by the algorithms. The location of areas mapped with snow also differed between the algorithms and the MOD10A1 product. The agreement in the location of SCA between that predicted by the algorithms and that provided by MOD10A1 differed by as much as 75% towards the end of the 2001 melt period, and even larger discrepancies were observed in 2002. Analysis indicated that the greatest differences occurred in marsh and coniferous areas, and this was consistent throughout the melt period. In addition, higher elevations caused the greatest differences in early stages of the melt period, but lower elevations contributed to the differences in later stages of melt. SCA data for both years showed an exponential correlation with accumulated degree-days for 2001, 2002, and 2003, but the relationship varied depending on the length of the melt period. Snow depletion behavior at different elevation ranges in the study area indicated that snow located at higher elevation ranges melted faster than snow located at lower elevation ranges for 2001, 2002, and 2003. This analysis is based on the MODIS Terra version 4 snow mapping algorithm (as opposed to the algorithm used for the MODIS Aqua sensor), and it is still the most up-to-date version as of early 2006." @default.
- W2166195759 created "2016-06-24" @default.
- W2166195759 creator A5056965453 @default.
- W2166195759 creator A5071887210 @default.
- W2166195759 date "2006-01-01" @default.
- W2166195759 modified "2023-09-27" @default.
- W2166195759 title "Investigation of the MODIS snow mapping algorithm during snowmelt in the northern boreal forest of Canada" @default.
- W2166195759 cites W1845575727 @default.
- W2166195759 cites W1969341887 @default.
- W2166195759 cites W1987882549 @default.
- W2166195759 cites W2005130746 @default.
- W2166195759 cites W2010423897 @default.
- W2166195759 cites W2022106079 @default.
- W2166195759 cites W2035109407 @default.
- W2166195759 cites W2040001180 @default.
- W2166195759 cites W2053396786 @default.
- W2166195759 cites W2089616742 @default.
- W2166195759 cites W2096842752 @default.
- W2166195759 cites W2150756869 @default.
- W2166195759 doi "https://doi.org/10.5589/m06-022" @default.
- W2166195759 hasPublicationYear "2006" @default.
- W2166195759 type Work @default.
- W2166195759 sameAs 2166195759 @default.
- W2166195759 citedByCount "13" @default.
- W2166195759 countsByYear W21661957592012 @default.
- W2166195759 countsByYear W21661957592018 @default.
- W2166195759 countsByYear W21661957592019 @default.
- W2166195759 countsByYear W21661957592020 @default.
- W2166195759 countsByYear W21661957592021 @default.
- W2166195759 countsByYear W21661957592022 @default.
- W2166195759 crossrefType "journal-article" @default.
- W2166195759 hasAuthorship W2166195759A5056965453 @default.
- W2166195759 hasAuthorship W2166195759A5071887210 @default.
- W2166195759 hasConcept C100537666 @default.
- W2166195759 hasConcept C100970517 @default.
- W2166195759 hasConcept C111368507 @default.
- W2166195759 hasConcept C11413529 @default.
- W2166195759 hasConcept C127313418 @default.
- W2166195759 hasConcept C127413603 @default.
- W2166195759 hasConcept C132651083 @default.
- W2166195759 hasConcept C142724271 @default.
- W2166195759 hasConcept C146978453 @default.
- W2166195759 hasConcept C147176958 @default.
- W2166195759 hasConcept C153294291 @default.
- W2166195759 hasConcept C1549246 @default.
- W2166195759 hasConcept C166957645 @default.
- W2166195759 hasConcept C19269812 @default.
- W2166195759 hasConcept C197046000 @default.
- W2166195759 hasConcept C205649164 @default.
- W2166195759 hasConcept C2776133958 @default.
- W2166195759 hasConcept C2777007095 @default.
- W2166195759 hasConcept C2780648208 @default.
- W2166195759 hasConcept C2983043445 @default.
- W2166195759 hasConcept C39432304 @default.
- W2166195759 hasConcept C41008148 @default.
- W2166195759 hasConcept C4792198 @default.
- W2166195759 hasConcept C49204034 @default.
- W2166195759 hasConcept C62649853 @default.
- W2166195759 hasConcept C64649846 @default.
- W2166195759 hasConcept C71924100 @default.
- W2166195759 hasConcept C87621631 @default.
- W2166195759 hasConcept C97137747 @default.
- W2166195759 hasConceptScore W2166195759C100537666 @default.
- W2166195759 hasConceptScore W2166195759C100970517 @default.
- W2166195759 hasConceptScore W2166195759C111368507 @default.
- W2166195759 hasConceptScore W2166195759C11413529 @default.
- W2166195759 hasConceptScore W2166195759C127313418 @default.
- W2166195759 hasConceptScore W2166195759C127413603 @default.
- W2166195759 hasConceptScore W2166195759C132651083 @default.
- W2166195759 hasConceptScore W2166195759C142724271 @default.
- W2166195759 hasConceptScore W2166195759C146978453 @default.
- W2166195759 hasConceptScore W2166195759C147176958 @default.
- W2166195759 hasConceptScore W2166195759C153294291 @default.
- W2166195759 hasConceptScore W2166195759C1549246 @default.
- W2166195759 hasConceptScore W2166195759C166957645 @default.
- W2166195759 hasConceptScore W2166195759C19269812 @default.
- W2166195759 hasConceptScore W2166195759C197046000 @default.
- W2166195759 hasConceptScore W2166195759C205649164 @default.
- W2166195759 hasConceptScore W2166195759C2776133958 @default.
- W2166195759 hasConceptScore W2166195759C2777007095 @default.
- W2166195759 hasConceptScore W2166195759C2780648208 @default.
- W2166195759 hasConceptScore W2166195759C2983043445 @default.
- W2166195759 hasConceptScore W2166195759C39432304 @default.
- W2166195759 hasConceptScore W2166195759C41008148 @default.
- W2166195759 hasConceptScore W2166195759C4792198 @default.
- W2166195759 hasConceptScore W2166195759C49204034 @default.
- W2166195759 hasConceptScore W2166195759C62649853 @default.
- W2166195759 hasConceptScore W2166195759C64649846 @default.
- W2166195759 hasConceptScore W2166195759C71924100 @default.
- W2166195759 hasConceptScore W2166195759C87621631 @default.
- W2166195759 hasConceptScore W2166195759C97137747 @default.
- W2166195759 hasIssue "3" @default.
- W2166195759 hasLocation W21661957591 @default.
- W2166195759 hasOpenAccess W2166195759 @default.
- W2166195759 hasPrimaryLocation W21661957591 @default.
- W2166195759 hasRelatedWork W1994675257 @default.
- W2166195759 hasRelatedWork W2041887742 @default.
- W2166195759 hasRelatedWork W2047228190 @default.