FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210300002> ?p ?o ?g. }

• W4210300002 endingPage "1194" @default.
• W4210300002 startingPage "1194" @default.
• W4210300002 abstract "The soil organic matter (SOM) content is a key factor affecting the function and health of soil ecosystems. For measurements of land reclamation and soil fertility, SOM monitoring using visible and near-infrared spectroscopy (Vis-NIR) is one approach to quantifying soil quality, and Vis-NIR is important for monitoring the SOM content in a broad and nondestructive manner. To investigate the influence of environmental factors and Vis-NIR spectroscopy in estimating SOM, 249 soil samples were collected from the Werigan–Kuqa oasis in Xinjiang, China, and their spectral reflectance, SOM content and soil salinity were measured. To classify and improve the prediction accuracy, we also take into account the soil salinity content as a variable indicator. Relevant environmental variables were extracted using remote sensing datasets (land-use/land-cover (LULC), digital elevation model (DEM), World Reference Base for Soil Resources (WRB), and soil texture). On the basis of Savitzky–Golay (S-G) smoothing and first derivative (FD) preprocessing of the original spectrum, three clusters were obtained by K-means clustering through the use of Vis-NIR and used as spectral classification variables. Using Vis-NIR as Model 1, Vis-NIR combined with spectral classification as Model 2, environmental variables as Model 3, and the combination of all the above variables (Vis-NIR, spectral classification, environmental variables, and soil salinity) as Model 4, a SOM content estimation model was constructed using partial least squares regression (PLSR). Using the 249 soil samples, the modeling set contained 166 samples and the validation set contained 83 samples. The results showed that Model 2 (validation r2 = 0.78) was better than Model 1 (validation r2 = 0.76). The prediction accuracy for Model 4 (validation r2 = 0.85) was better than Model 2 (validation r2 = 0.78). Among these, Model 3 was the worst (validation r2 = 0.39). Therefore, the combination of environmental variables with Vis-NIR spectroscopy to estimate SOM content is an important method and has important implications for improving the accuracy of SOM predictions in arid regions." @default.
• W4210300002 created "2022-02-08" @default.
• W4210300002 creator A5034468235 @default.
• W4210300002 creator A5060337369 @default.
• W4210300002 creator A5064540523 @default.
• W4210300002 date "2022-02-04" @default.
• W4210300002 modified "2023-09-26" @default.
• W4210300002 title "Estimation of Soil Organic Matter in Arid Zones with Coupled Environmental Variables and Spectral Features" @default.
• W4210300002 cites W1963570200 @default.
• W4210300002 cites W1973273412 @default.
• W4210300002 cites W1997287413 @default.
• W4210300002 cites W2002252588 @default.
• W4210300002 cites W2005353255 @default.
• W4210300002 cites W2007365900 @default.
• W4210300002 cites W2071949631 @default.
• W4210300002 cites W2073503722 @default.
• W4210300002 cites W2073858026 @default.
• W4210300002 cites W2095414472 @default.
• W4210300002 cites W2109606373 @default.
• W4210300002 cites W2133026371 @default.
• W4210300002 cites W2145490262 @default.
• W4210300002 cites W2161313304 @default.
• W4210300002 cites W2191676425 @default.
• W4210300002 cites W2196579671 @default.
• W4210300002 cites W2225651437 @default.
• W4210300002 cites W2230229588 @default.
• W4210300002 cites W2410552594 @default.
• W4210300002 cites W2616758225 @default.
• W4210300002 cites W2890296937 @default.
• W4210300002 cites W2901028058 @default.
• W4210300002 cites W2912801595 @default.
• W4210300002 cites W2920254659 @default.
• W4210300002 cites W2955980286 @default.
• W4210300002 cites W2966384631 @default.
• W4210300002 cites W2985057784 @default.
• W4210300002 cites W3013267908 @default.
• W4210300002 cites W3031948869 @default.
• W4210300002 cites W3047994855 @default.
• W4210300002 cites W3087149707 @default.
• W4210300002 cites W3133922270 @default.
• W4210300002 cites W3181941682 @default.
• W4210300002 doi "https://doi.org/10.3390/s22031194" @default.
• W4210300002 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35161939" @default.
• W4210300002 hasPublicationYear "2022" @default.
• W4210300002 type Work @default.
• W4210300002 citedByCount "1" @default.
• W4210300002 countsByYear W42103000022023 @default.
• W4210300002 crossrefType "journal-article" @default.
• W4210300002 hasAuthorship W4210300002A5034468235 @default.
• W4210300002 hasAuthorship W4210300002A5060337369 @default.
• W4210300002 hasAuthorship W4210300002A5064540523 @default.
• W4210300002 hasBestOaLocation W42103000021 @default.
• W4210300002 hasConcept C105795698 @default.
• W4210300002 hasConcept C141650431 @default.
• W4210300002 hasConcept C159390177 @default.
• W4210300002 hasConcept C159750122 @default.
• W4210300002 hasConcept C175963888 @default.
• W4210300002 hasConcept C182124840 @default.
• W4210300002 hasConcept C205649164 @default.
• W4210300002 hasConcept C22354355 @default.
• W4210300002 hasConcept C33923547 @default.
• W4210300002 hasConcept C39432304 @default.
• W4210300002 hasConcept C50516716 @default.
• W4210300002 hasConcept C62649853 @default.
• W4210300002 hasConcept C71864017 @default.
• W4210300002 hasConceptScore W4210300002C105795698 @default.
• W4210300002 hasConceptScore W4210300002C141650431 @default.
• W4210300002 hasConceptScore W4210300002C159390177 @default.
• W4210300002 hasConceptScore W4210300002C159750122 @default.
• W4210300002 hasConceptScore W4210300002C175963888 @default.
• W4210300002 hasConceptScore W4210300002C182124840 @default.
• W4210300002 hasConceptScore W4210300002C205649164 @default.
• W4210300002 hasConceptScore W4210300002C22354355 @default.
• W4210300002 hasConceptScore W4210300002C33923547 @default.
• W4210300002 hasConceptScore W4210300002C39432304 @default.
• W4210300002 hasConceptScore W4210300002C50516716 @default.
• W4210300002 hasConceptScore W4210300002C62649853 @default.
• W4210300002 hasConceptScore W4210300002C71864017 @default.
• W4210300002 hasIssue "3" @default.
• W4210300002 hasLocation W42103000021 @default.
• W4210300002 hasLocation W42103000022 @default.
• W4210300002 hasLocation W42103000023 @default.
• W4210300002 hasLocation W42103000024 @default.
• W4210300002 hasOpenAccess W4210300002 @default.
• W4210300002 hasPrimaryLocation W42103000021 @default.
• W4210300002 hasRelatedWork W1619233213 @default.
• W4210300002 hasRelatedWork W2014354302 @default.
• W4210300002 hasRelatedWork W2078102850 @default.
• W4210300002 hasRelatedWork W2092492673 @default.
• W4210300002 hasRelatedWork W2126440486 @default.
• W4210300002 hasRelatedWork W2369916774 @default.
• W4210300002 hasRelatedWork W3213377110 @default.
• W4210300002 hasRelatedWork W4206347880 @default.
• W4210300002 hasRelatedWork W4210662506 @default.
• W4210300002 hasRelatedWork W4302363096 @default.
• W4210300002 hasVolume "22" @default.
• W4210300002 isParatext "false" @default.
• W4210300002 isRetracted "false" @default.

• next