FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3120867123> ?p ?o ?g. }

• W3120867123 endingPage "104962" @default.
• W3120867123 startingPage "104962" @default.
• W3120867123 abstract "Soil erosion models, typically applied at basin and watershed scales, are rarely evaluated at agricultural field scales due to the lack of spatially-distributed time series data. A novel unmanned aerial vehicle (UAV) methodology was used to quantify farm-field soil erosion from nine UAV surveys and structure-from-motion (SfM). Using a semi-distributed approach, we evaluated soil erosion estimates from the Universal Soil Loss Equation (USLE) and Water Erosion Prediction Project (WEPP). The annual erosion rate, measured with the UAV methodology, was 18.83 t ha−1 yr−1, with USLE and WEPP predictions of 26.23 t ha−1 yr−1 and 16.41 t ha−1 yr−1, respectively. Modelled annual and sub-annual erosion rates with WEPP were within the upper-limit of predictive accuracy, while the USLE tended to systematically overestimate soil erosion rates. These outcomes have implications on the efficacy of conservation efforts, which is highlighted through a discussion and comparison of different best-management practice applications." @default.
• W3120867123 created "2021-01-18" @default.
• W3120867123 creator A5002096130 @default.
• W3120867123 creator A5042330203 @default.
• W3120867123 date "2021-03-01" @default.
• W3120867123 modified "2023-10-17" @default.
• W3120867123 title "Agricultural erosion modelling: Evaluating USLE and WEPP field-scale erosion estimates using UAV time-series data" @default.
• W3120867123 cites W1573842229 @default.
• W3120867123 cites W1972241136 @default.
• W3120867123 cites W1975809100 @default.
• W3120867123 cites W1978424046 @default.
• W3120867123 cites W1979463845 @default.
• W3120867123 cites W1989556826 @default.
• W3120867123 cites W2010231604 @default.
• W3120867123 cites W2012585556 @default.
• W3120867123 cites W2012913568 @default.
• W3120867123 cites W2013414890 @default.
• W3120867123 cites W2014124228 @default.
• W3120867123 cites W2015131493 @default.
• W3120867123 cites W2019592657 @default.
• W3120867123 cites W2033904036 @default.
• W3120867123 cites W2036852613 @default.
• W3120867123 cites W2044755432 @default.
• W3120867123 cites W2049753871 @default.
• W3120867123 cites W2050900592 @default.
• W3120867123 cites W2052294312 @default.
• W3120867123 cites W2061058186 @default.
• W3120867123 cites W2070133126 @default.
• W3120867123 cites W2078828715 @default.
• W3120867123 cites W2079188370 @default.
• W3120867123 cites W2086901441 @default.
• W3120867123 cites W2091755376 @default.
• W3120867123 cites W2093105792 @default.
• W3120867123 cites W2095561056 @default.
• W3120867123 cites W2107021431 @default.
• W3120867123 cites W2108628748 @default.
• W3120867123 cites W2117925492 @default.
• W3120867123 cites W2126902408 @default.
• W3120867123 cites W2138703158 @default.
• W3120867123 cites W2162618715 @default.
• W3120867123 cites W2167934001 @default.
• W3120867123 cites W2168787563 @default.
• W3120867123 cites W2178654713 @default.
• W3120867123 cites W2201649350 @default.
• W3120867123 cites W2270484326 @default.
• W3120867123 cites W2498902298 @default.
• W3120867123 cites W2523386927 @default.
• W3120867123 cites W2564747588 @default.
• W3120867123 cites W2740652231 @default.
• W3120867123 cites W2917922418 @default.
• W3120867123 cites W2957449316 @default.
• W3120867123 cites W2982396906 @default.
• W3120867123 cites W3001208788 @default.
• W3120867123 cites W3018966866 @default.
• W3120867123 cites W4254546700 @default.
• W3120867123 doi "https://doi.org/10.1016/j.envsoft.2021.104962" @default.
• W3120867123 hasPublicationYear "2021" @default.
• W3120867123 type Work @default.
• W3120867123 sameAs 3120867123 @default.
• W3120867123 citedByCount "19" @default.
• W3120867123 countsByYear W31208671232021 @default.
• W3120867123 countsByYear W31208671232022 @default.
• W3120867123 countsByYear W31208671232023 @default.
• W3120867123 crossrefType "journal-article" @default.
• W3120867123 hasAuthorship W3120867123A5002096130 @default.
• W3120867123 hasAuthorship W3120867123A5042330203 @default.
• W3120867123 hasBestOaLocation W31208671231 @default.
• W3120867123 hasConcept C109162521 @default.
• W3120867123 hasConcept C114793014 @default.
• W3120867123 hasConcept C118518473 @default.
• W3120867123 hasConcept C119857082 @default.
• W3120867123 hasConcept C123157820 @default.
• W3120867123 hasConcept C126589126 @default.
• W3120867123 hasConcept C127313418 @default.
• W3120867123 hasConcept C150547873 @default.
• W3120867123 hasConcept C159390177 @default.
• W3120867123 hasConcept C166957645 @default.
• W3120867123 hasConcept C187320778 @default.
• W3120867123 hasConcept C205649164 @default.
• W3120867123 hasConcept C2777610965 @default.
• W3120867123 hasConcept C2778755073 @default.
• W3120867123 hasConcept C2983671832 @default.
• W3120867123 hasConcept C39432304 @default.
• W3120867123 hasConcept C41008148 @default.
• W3120867123 hasConcept C58640448 @default.
• W3120867123 hasConcept C76886044 @default.
• W3120867123 hasConceptScore W3120867123C109162521 @default.
• W3120867123 hasConceptScore W3120867123C114793014 @default.
• W3120867123 hasConceptScore W3120867123C118518473 @default.
• W3120867123 hasConceptScore W3120867123C119857082 @default.
• W3120867123 hasConceptScore W3120867123C123157820 @default.
• W3120867123 hasConceptScore W3120867123C126589126 @default.
• W3120867123 hasConceptScore W3120867123C127313418 @default.
• W3120867123 hasConceptScore W3120867123C150547873 @default.
• W3120867123 hasConceptScore W3120867123C159390177 @default.
• W3120867123 hasConceptScore W3120867123C166957645 @default.
• W3120867123 hasConceptScore W3120867123C187320778 @default.
• W3120867123 hasConceptScore W3120867123C205649164 @default.

• next