FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3111808594> ?p ?o ?g. }

• W3111808594 endingPage "125840" @default.
• W3111808594 startingPage "125840" @default.
• W3111808594 abstract "Accurate estimates of root zone soil moisture (RZSM) at relevant spatio-temporal scales are essential for many agricultural and hydrological applications. Applications of machine learning (ML) techniques to estimate root zone soil moisture are limited compared to commonly used process-based models based on flow and transport equations in the vadose zone. However, data-driven ML techniques present unique opportunities to develop quantitative models without having assumptions on the processes operating within the system being investigated. In this study, the Random Forest (RF) ensemble learning algorithm, is tested to demonstrate the capabilities and advantages of ML for RZSM estimation. Interpolation and extrapolation of RZSM on a daily timescale was carried out using RF over a small agricultural catchment from 2016 to 2018 using in situ measurements. Results show that RF predictions have slightly higher accuracy for interpolation and similar accuracy for extrapolation in comparison with RZSM simulated from a process-based model combined with data assimilation. RF predictions for extreme wet and dry conditions were, however, less accurate. This was inferred to be due to infrequent sampling of such conditions that led to poor learning in the trained RF model and to incomplete representation of relevant subsurface processes at the study sites in the RF covariates. Since RF does not depend on parameters required to estimate subsurface water flow, it is more advantageous than a process-based model in data-poor regions where soil hydraulic parameters are incomplete or missing, especially when the primary goal is only the estimation of soil moisture states." @default.
• W3111808594 created "2020-12-21" @default.
• W3111808594 creator A5023725962 @default.
• W3111808594 creator A5031975542 @default.
• W3111808594 creator A5061712926 @default.
• W3111808594 creator A5071507764 @default.
• W3111808594 date "2021-02-01" @default.
• W3111808594 modified "2023-10-15" @default.
• W3111808594 title "Root zone soil moisture estimation with Random Forest" @default.
• W3111808594 cites W1568600553 @default.
• W3111808594 cites W1643664725 @default.
• W3111808594 cites W1963950134 @default.
• W3111808594 cites W1972206116 @default.
• W3111808594 cites W1977109485 @default.
• W3111808594 cites W1980965960 @default.
• W3111808594 cites W1987308763 @default.
• W3111808594 cites W1989699041 @default.
• W3111808594 cites W2020004539 @default.
• W3111808594 cites W2021765748 @default.
• W3111808594 cites W2026499312 @default.
• W3111808594 cites W2027554150 @default.
• W3111808594 cites W2044396131 @default.
• W3111808594 cites W2076196252 @default.
• W3111808594 cites W2087070363 @default.
• W3111808594 cites W2108031818 @default.
• W3111808594 cites W2123744475 @default.
• W3111808594 cites W2144530683 @default.
• W3111808594 cites W2153901968 @default.
• W3111808594 cites W2157276885 @default.
• W3111808594 cites W2159456033 @default.
• W3111808594 cites W2162604832 @default.
• W3111808594 cites W2164361769 @default.
• W3111808594 cites W2167461326 @default.
• W3111808594 cites W2507380695 @default.
• W3111808594 cites W2532213095 @default.
• W3111808594 cites W2554960095 @default.
• W3111808594 cites W2575270753 @default.
• W3111808594 cites W2609303685 @default.
• W3111808594 cites W2610495018 @default.
• W3111808594 cites W2657631929 @default.
• W3111808594 cites W2749396483 @default.
• W3111808594 cites W2767328128 @default.
• W3111808594 cites W2769675690 @default.
• W3111808594 cites W2784286657 @default.
• W3111808594 cites W2793997912 @default.
• W3111808594 cites W2807694716 @default.
• W3111808594 cites W2901995870 @default.
• W3111808594 cites W2911964244 @default.
• W3111808594 cites W2913323966 @default.
• W3111808594 cites W2943160824 @default.
• W3111808594 cites W2949643042 @default.
• W3111808594 cites W2953594546 @default.
• W3111808594 cites W2969843530 @default.
• W3111808594 cites W2981953768 @default.
• W3111808594 cites W2989857225 @default.
• W3111808594 cites W3004721289 @default.
• W3111808594 cites W3007404812 @default.
• W3111808594 cites W3011249019 @default.
• W3111808594 cites W3014928839 @default.
• W3111808594 cites W4236711042 @default.
• W3111808594 doi "https://doi.org/10.1016/j.jhydrol.2020.125840" @default.
• W3111808594 hasPublicationYear "2021" @default.
• W3111808594 type Work @default.
• W3111808594 sameAs 3111808594 @default.
• W3111808594 citedByCount "70" @default.
• W3111808594 countsByYear W31118085942021 @default.
• W3111808594 countsByYear W31118085942022 @default.
• W3111808594 countsByYear W31118085942023 @default.
• W3111808594 crossrefType "journal-article" @default.
• W3111808594 hasAuthorship W3111808594A5023725962 @default.
• W3111808594 hasAuthorship W3111808594A5031975542 @default.
• W3111808594 hasAuthorship W3111808594A5061712926 @default.
• W3111808594 hasAuthorship W3111808594A5071507764 @default.
• W3111808594 hasBestOaLocation W31118085941 @default.
• W3111808594 hasConcept C100187453 @default.
• W3111808594 hasConcept C103272765 @default.
• W3111808594 hasConcept C105795698 @default.
• W3111808594 hasConcept C106131492 @default.
• W3111808594 hasConcept C119857082 @default.
• W3111808594 hasConcept C121684516 @default.
• W3111808594 hasConcept C127313418 @default.
• W3111808594 hasConcept C132459708 @default.
• W3111808594 hasConcept C137800194 @default.
• W3111808594 hasConcept C140779682 @default.
• W3111808594 hasConcept C153294291 @default.
• W3111808594 hasConcept C159390177 @default.
• W3111808594 hasConcept C159750122 @default.
• W3111808594 hasConcept C169258074 @default.
• W3111808594 hasConcept C187320778 @default.
• W3111808594 hasConcept C191440113 @default.
• W3111808594 hasConcept C205649164 @default.
• W3111808594 hasConcept C24552861 @default.
• W3111808594 hasConcept C24939127 @default.
• W3111808594 hasConcept C31972630 @default.
• W3111808594 hasConcept C33923547 @default.
• W3111808594 hasConcept C35588792 @default.
• W3111808594 hasConcept C39432304 @default.
• W3111808594 hasConcept C41008148 @default.

• next