FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1994965132> ?p ?o ?g. }

• W1994965132 endingPage "7624" @default.
• W1994965132 startingPage "7607" @default.
• W1994965132 abstract "The number, size, and distribution of inland freshwater lakes present a challenge for traditional water-quality assessment due to the time, cost, and logistical constraints of field sampling and laboratory analyses. To overcome this challenge, Landsat imagery has been used as an effective tool to assess basic water-quality indicators, such as Secchi depth (SD), over a large region or to map more advanced lake attributes, such as cyanobacteria, for a single waterbody. The overarching objective of this research application was to evaluate Landsat Thematic Mapper (TM) for mapping nine water-quality metrics over a large region and to identify hot spots of potential risk. The second objective was to evaluate the addition of landscape pattern metrics to test potential improvements in mapping lake attributes and to understand drivers of lake water quality in this region. Field-level in situ water-quality measurements were collected across diverse lakes (n = 42) within the Lower Peninsula of Michigan. A multicriteria statistical approach was executed to map lake water quality that considered variable importance, model complexity, and uncertainty. Overall, band ratio radiance models performed well (R2 = 0.65–0.81) for mapping SD, chlorophyll-a, green biovolume, total phosphorus (TP), and total nitrogen (TN) with weaker (R2 = 0.37) ability to map total suspended solids (TSS) and cyanobacteria levels. In this application, Landsat TM and pattern metrics showed poor ability to accurately map non-purgable organic carbon (NPOC) and diatom biovolume, likely due to a combination of gaps in temporal overpass and field sampling and lack of signal sensitivity within broad spectral channels of Landsat TM. The composition and configuration of croplands, urban, and wetland patches across the landscape were found to be moderate predictors of lake water quality that can complement lake remote-sensing data. Of the 4071 lakes, over 4 ha in the Lower Peninsula, approximately two-thirds, were identified as mesotrophic (n = 2715). This application highlights how an operational tool might support lake decision-making or assessment protocols to identify hot spots of potential risk." @default.
• W1994965132 created "2016-06-24" @default.
• W1994965132 creator A5006767150 @default.
• W1994965132 creator A5028760659 @default.
• W1994965132 creator A5072825490 @default.
• W1994965132 creator A5077919859 @default.
• W1994965132 creator A5088733940 @default.
• W1994965132 creator A5091503925 @default.
• W1994965132 date "2013-08-27" @default.
• W1994965132 modified "2023-10-03" @default.
• W1994965132 title "Mapping inland lake water quality across the Lower Peninsula of Michigan using Landsat TM imagery" @default.
• W1994965132 cites W138541877 @default.
• W1994965132 cites W1498849780 @default.
• W1994965132 cites W1965711560 @default.
• W1994965132 cites W1971407920 @default.
• W1994965132 cites W1976556171 @default.
• W1994965132 cites W1994796969 @default.
• W1994965132 cites W1999634699 @default.
• W1994965132 cites W2028594103 @default.
• W1994965132 cites W2037675284 @default.
• W1994965132 cites W2044286222 @default.
• W1994965132 cites W2048413731 @default.
• W1994965132 cites W2050302621 @default.
• W1994965132 cites W2053630957 @default.
• W1994965132 cites W2070661864 @default.
• W1994965132 cites W2073860504 @default.
• W1994965132 cites W2083219503 @default.
• W1994965132 cites W2089874131 @default.
• W1994965132 cites W2103775154 @default.
• W1994965132 cites W2108695746 @default.
• W1994965132 cites W2120514850 @default.
• W1994965132 cites W2124119921 @default.
• W1994965132 cites W2133514140 @default.
• W1994965132 cites W2151456308 @default.
• W1994965132 cites W2154743323 @default.
• W1994965132 cites W2161265506 @default.
• W1994965132 cites W2161570034 @default.
• W1994965132 cites W2166251851 @default.
• W1994965132 cites W2167451248 @default.
• W1994965132 cites W2176357084 @default.
• W1994965132 cites W2179061302 @default.
• W1994965132 cites W2370477388 @default.
• W1994965132 cites W4236977275 @default.
• W1994965132 doi "https://doi.org/10.1080/01431161.2013.822602" @default.
• W1994965132 hasPublicationYear "2013" @default.
• W1994965132 type Work @default.
• W1994965132 sameAs 1994965132 @default.
• W1994965132 citedByCount "70" @default.
• W1994965132 countsByYear W19949651322014 @default.
• W1994965132 countsByYear W19949651322015 @default.
• W1994965132 countsByYear W19949651322016 @default.
• W1994965132 countsByYear W19949651322017 @default.
• W1994965132 countsByYear W19949651322018 @default.
• W1994965132 countsByYear W19949651322019 @default.
• W1994965132 countsByYear W19949651322020 @default.
• W1994965132 countsByYear W19949651322021 @default.
• W1994965132 countsByYear W19949651322022 @default.
• W1994965132 countsByYear W19949651322023 @default.
• W1994965132 crossrefType "journal-article" @default.
• W1994965132 hasAuthorship W1994965132A5006767150 @default.
• W1994965132 hasAuthorship W1994965132A5028760659 @default.
• W1994965132 hasAuthorship W1994965132A5072825490 @default.
• W1994965132 hasAuthorship W1994965132A5077919859 @default.
• W1994965132 hasAuthorship W1994965132A5088733940 @default.
• W1994965132 hasAuthorship W1994965132A5091503925 @default.
• W1994965132 hasConcept C100970517 @default.
• W1994965132 hasConcept C106131492 @default.
• W1994965132 hasConcept C127313418 @default.
• W1994965132 hasConcept C140779682 @default.
• W1994965132 hasConcept C142796444 @default.
• W1994965132 hasConcept C152913119 @default.
• W1994965132 hasConcept C186699998 @default.
• W1994965132 hasConcept C187320778 @default.
• W1994965132 hasConcept C188287460 @default.
• W1994965132 hasConcept C18903297 @default.
• W1994965132 hasConcept C205649164 @default.
• W1994965132 hasConcept C23690007 @default.
• W1994965132 hasConcept C2775938548 @default.
• W1994965132 hasConcept C2778102629 @default.
• W1994965132 hasConcept C2780797713 @default.
• W1994965132 hasConcept C2781026758 @default.
• W1994965132 hasConcept C31972630 @default.
• W1994965132 hasConcept C39432304 @default.
• W1994965132 hasConcept C41008148 @default.
• W1994965132 hasConcept C4891672 @default.
• W1994965132 hasConcept C57442070 @default.
• W1994965132 hasConcept C58640448 @default.
• W1994965132 hasConcept C62649853 @default.
• W1994965132 hasConcept C76886044 @default.
• W1994965132 hasConcept C86803240 @default.
• W1994965132 hasConcept C87717796 @default.
• W1994965132 hasConcept C93692415 @default.
• W1994965132 hasConceptScore W1994965132C100970517 @default.
• W1994965132 hasConceptScore W1994965132C106131492 @default.
• W1994965132 hasConceptScore W1994965132C127313418 @default.
• W1994965132 hasConceptScore W1994965132C140779682 @default.
• W1994965132 hasConceptScore W1994965132C142796444 @default.
• W1994965132 hasConceptScore W1994965132C152913119 @default.

• next