FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1965106709> ?p ?o ?g. }

• W1965106709 endingPage "59" @default.
• W1965106709 startingPage "51" @default.
• W1965106709 abstract "Crop aboveground biomass estimates are critical for assessing crop growth and predicting yield. In order to ascertain the optimal methods for winter wheat biomass estimation, this study compared the utility of univariate techniques involving narrow band vegetation indices and red-edge position (REP), as well as multivariate calibration techniques involving the partial least square regression (PLSR) analyses using band depth parameters, and the combination of band depth parameters and hyperspectral indices including narrow band indices and REP. Narrow band indices were calculated in the form of normalized difference vegetation index (NDVI) and soil adjusted vegetation index (SAVI) using all possible two-band combinations for selecting optimal narrow band indices. Band depth, band depth ratio (BDR), normalized band depth index, and band depth normalized to area extracted from a red absorption region (550 nm–750 nm) were utilized as band depth parameters. The results indicated that: (1) Compared with the traditional NDVI and SAVI constructed with bands at 670 nm and 800 nm and REP, the selected narrow band indices (optimal NDVI-like and optimal SAVI-like) produced higher estimation accuracy of the winter wheat biomass; (2) the PLSR models based on band depth parameters produced lower root mean square error, relative to the models based on the selected narrow band indices; and (3) the PLSR model based on the combination of optimal NDVI-like and BDR produced the best estimated result of the winter wheat biomass (R2 = 0.84, RMSE = 0.177 kg/m2). The results of this study suggest that PLSR analysis using the combination of optimal NDVI-like and band depth parameters could significantly improve estimation accuracy of winter wheat biomass." @default.
• W1965106709 created "2016-06-24" @default.
• W1965106709 creator A5000200794 @default.
• W1965106709 creator A5005397465 @default.
• W1965106709 creator A5020713851 @default.
• W1965106709 creator A5039880991 @default.
• W1965106709 creator A5056724113 @default.
• W1965106709 date "2014-01-01" @default.
• W1965106709 modified "2023-10-09" @default.
• W1965106709 title "Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements" @default.
• W1965106709 cites W1685317713 @default.
• W1965106709 cites W1964217023 @default.
• W1965106709 cites W1974416151 @default.
• W1965106709 cites W1979636379 @default.
• W1965106709 cites W1986000120 @default.
• W1965106709 cites W2007287337 @default.
• W1965106709 cites W2007329733 @default.
• W1965106709 cites W2008183434 @default.
• W1965106709 cites W2019038438 @default.
• W1965106709 cites W2021727574 @default.
• W1965106709 cites W2022900594 @default.
• W1965106709 cites W2028844900 @default.
• W1965106709 cites W2029446876 @default.
• W1965106709 cites W2050393410 @default.
• W1965106709 cites W2056203575 @default.
• W1965106709 cites W2070559755 @default.
• W1965106709 cites W2087486404 @default.
• W1965106709 cites W2089464686 @default.
• W1965106709 cites W2097970470 @default.
• W1965106709 cites W2099972698 @default.
• W1965106709 cites W2109606373 @default.
• W1965106709 cites W2124121789 @default.
• W1965106709 cites W2126142391 @default.
• W1965106709 cites W2133751300 @default.
• W1965106709 cites W2139925058 @default.
• W1965106709 cites W2144026378 @default.
• W1965106709 cites W2154013934 @default.
• W1965106709 cites W2158863190 @default.
• W1965106709 cites W2166665947 @default.
• W1965106709 cites W2184614483 @default.
• W1965106709 doi "https://doi.org/10.1016/j.compag.2013.10.010" @default.
• W1965106709 hasPublicationYear "2014" @default.
• W1965106709 type Work @default.
• W1965106709 sameAs 1965106709 @default.
• W1965106709 citedByCount "136" @default.
• W1965106709 countsByYear W19651067092014 @default.
• W1965106709 countsByYear W19651067092015 @default.
• W1965106709 countsByYear W19651067092016 @default.
• W1965106709 countsByYear W19651067092017 @default.
• W1965106709 countsByYear W19651067092018 @default.
• W1965106709 countsByYear W19651067092019 @default.
• W1965106709 countsByYear W19651067092020 @default.
• W1965106709 countsByYear W19651067092021 @default.
• W1965106709 countsByYear W19651067092022 @default.
• W1965106709 countsByYear W19651067092023 @default.
• W1965106709 crossrefType "journal-article" @default.
• W1965106709 hasAuthorship W1965106709A5000200794 @default.
• W1965106709 hasAuthorship W1965106709A5005397465 @default.
• W1965106709 hasAuthorship W1965106709A5020713851 @default.
• W1965106709 hasAuthorship W1965106709A5039880991 @default.
• W1965106709 hasAuthorship W1965106709A5056724113 @default.
• W1965106709 hasConcept C105795698 @default.
• W1965106709 hasConcept C114700698 @default.
• W1965106709 hasConcept C115540264 @default.
• W1965106709 hasConcept C127313418 @default.
• W1965106709 hasConcept C139945424 @default.
• W1965106709 hasConcept C142724271 @default.
• W1965106709 hasConcept C152877465 @default.
• W1965106709 hasConcept C1549246 @default.
• W1965106709 hasConcept C159078339 @default.
• W1965106709 hasConcept C159390177 @default.
• W1965106709 hasConcept C161584116 @default.
• W1965106709 hasConcept C199163554 @default.
• W1965106709 hasConcept C22354355 @default.
• W1965106709 hasConcept C25989453 @default.
• W1965106709 hasConcept C2776133958 @default.
• W1965106709 hasConcept C2776388979 @default.
• W1965106709 hasConcept C2780376076 @default.
• W1965106709 hasConcept C33923547 @default.
• W1965106709 hasConcept C39432304 @default.
• W1965106709 hasConcept C62649853 @default.
• W1965106709 hasConcept C6557445 @default.
• W1965106709 hasConcept C71924100 @default.
• W1965106709 hasConcept C78869512 @default.
• W1965106709 hasConcept C86803240 @default.
• W1965106709 hasConceptScore W1965106709C105795698 @default.
• W1965106709 hasConceptScore W1965106709C114700698 @default.
• W1965106709 hasConceptScore W1965106709C115540264 @default.
• W1965106709 hasConceptScore W1965106709C127313418 @default.
• W1965106709 hasConceptScore W1965106709C139945424 @default.
• W1965106709 hasConceptScore W1965106709C142724271 @default.
• W1965106709 hasConceptScore W1965106709C152877465 @default.
• W1965106709 hasConceptScore W1965106709C1549246 @default.
• W1965106709 hasConceptScore W1965106709C159078339 @default.
• W1965106709 hasConceptScore W1965106709C159390177 @default.
• W1965106709 hasConceptScore W1965106709C161584116 @default.
• W1965106709 hasConceptScore W1965106709C199163554 @default.
• W1965106709 hasConceptScore W1965106709C22354355 @default.

• next