FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313131214> ?p ?o ?g. }

• W4313131214 abstract "Background: Forest roads are among the most basic infrastructure used for forestry activities and services. To facilitate the increased amount of biomass harvesting adequately, the existing road network may require modifications to allow forest transportation within harvesting units that are not yet accessed by the roads. The construction of a forest road can trigger landslides, so the necessary constraints should be considered when the road is being planned to preclude such problems. Landslide Susceptibility Mapping (LSM) has become an integral part of the growing process of machine learning (ML), providing a more effective platform for practitioners, planners, and decision-makers. This study aims to reveal the most suitable alternative routes for a forest road, especially in areas susceptible to landslides, and to provide an effective tool for decision-makers. Results: For this purpose, two models were developed through ML: Logistic Regression (LR) and Random Forest (RF). Elevation, slope, aspect, curvature, Topographic Wetness Index (TWI), Stream Power Index (SPI), distance from the fault, the road, and the stream, and lithology were considered as the main landslide susceptibility factors in these models. The best model was obtained by the RF approach with an Area Under ROC Curve (AUC) value of 81.9%, while the LR model was 78.2%. LSM data was used as a base, and alternative routes were obtained through CostPath analysis. Conclusion: It has been shown that the ML methods used in this study can positively contribute to decision-making by providing more effective LSM calculations in studies to determine alternative routes in a forest road network." @default.
• W4313131214 created "2023-01-06" @default.
• W4313131214 creator A5000541564 @default.
• W4313131214 creator A5018226008 @default.
• W4313131214 date "2022-01-01" @default.
• W4313131214 modified "2023-09-30" @default.
• W4313131214 title "Assessment of alternative forest road routes and landslide susceptibility mapping using machine learning" @default.
• W4313131214 cites W1057892209 @default.
• W4313131214 cites W1971988122 @default.
• W4313131214 cites W1980725494 @default.
• W4313131214 cites W1990748933 @default.
• W4313131214 cites W2000615833 @default.
• W4313131214 cites W2001104131 @default.
• W4313131214 cites W2020062384 @default.
• W4313131214 cites W2030853621 @default.
• W4313131214 cites W2035678805 @default.
• W4313131214 cites W2045076638 @default.
• W4313131214 cites W2082622325 @default.
• W4313131214 cites W2171407950 @default.
• W4313131214 cites W2325061875 @default.
• W4313131214 cites W2485911841 @default.
• W4313131214 cites W2523887947 @default.
• W4313131214 cites W2567854072 @default.
• W4313131214 cites W2626844388 @default.
• W4313131214 cites W2731040012 @default.
• W4313131214 cites W2734428930 @default.
• W4313131214 cites W2765825416 @default.
• W4313131214 cites W2793675465 @default.
• W4313131214 cites W2802780461 @default.
• W4313131214 cites W2803344599 @default.
• W4313131214 cites W2804841721 @default.
• W4313131214 cites W2891027816 @default.
• W4313131214 cites W2897668753 @default.
• W4313131214 cites W2912361013 @default.
• W4313131214 cites W2914617650 @default.
• W4313131214 cites W2921093430 @default.
• W4313131214 cites W2922551714 @default.
• W4313131214 cites W2962207954 @default.
• W4313131214 cites W2969785828 @default.
• W4313131214 cites W2973620719 @default.
• W4313131214 cites W2979879981 @default.
• W4313131214 cites W2980376317 @default.
• W4313131214 cites W3004202498 @default.
• W4313131214 cites W3005169643 @default.
• W4313131214 cites W3005403019 @default.
• W4313131214 cites W3014547773 @default.
• W4313131214 cites W3022247434 @default.
• W4313131214 cites W3032560352 @default.
• W4313131214 cites W3038871125 @default.
• W4313131214 cites W3048285196 @default.
• W4313131214 cites W3049651666 @default.
• W4313131214 cites W3082878526 @default.
• W4313131214 cites W3127947978 @default.
• W4313131214 cites W3134956881 @default.
• W4313131214 cites W3162175326 @default.
• W4313131214 doi "https://doi.org/10.1590/01047760202228012976" @default.
• W4313131214 hasPublicationYear "2022" @default.
• W4313131214 type Work @default.
• W4313131214 citedByCount "0" @default.
• W4313131214 crossrefType "journal-article" @default.
• W4313131214 hasAuthorship W4313131214A5000541564 @default.
• W4313131214 hasAuthorship W4313131214A5018226008 @default.
• W4313131214 hasBestOaLocation W43131312141 @default.
• W4313131214 hasConcept C119857082 @default.
• W4313131214 hasConcept C124101348 @default.
• W4313131214 hasConcept C127413603 @default.
• W4313131214 hasConcept C169258074 @default.
• W4313131214 hasConcept C186295008 @default.
• W4313131214 hasConcept C187320778 @default.
• W4313131214 hasConcept C205649164 @default.
• W4313131214 hasConcept C2524010 @default.
• W4313131214 hasConcept C2776898743 @default.
• W4313131214 hasConcept C2778521444 @default.
• W4313131214 hasConcept C33923547 @default.
• W4313131214 hasConcept C37054046 @default.
• W4313131214 hasConcept C39432304 @default.
• W4313131214 hasConcept C41008148 @default.
• W4313131214 hasConcept C84525736 @default.
• W4313131214 hasConcept C97137747 @default.
• W4313131214 hasConceptScore W4313131214C119857082 @default.
• W4313131214 hasConceptScore W4313131214C124101348 @default.
• W4313131214 hasConceptScore W4313131214C127413603 @default.
• W4313131214 hasConceptScore W4313131214C169258074 @default.
• W4313131214 hasConceptScore W4313131214C186295008 @default.
• W4313131214 hasConceptScore W4313131214C187320778 @default.
• W4313131214 hasConceptScore W4313131214C205649164 @default.
• W4313131214 hasConceptScore W4313131214C2524010 @default.
• W4313131214 hasConceptScore W4313131214C2776898743 @default.
• W4313131214 hasConceptScore W4313131214C2778521444 @default.
• W4313131214 hasConceptScore W4313131214C33923547 @default.
• W4313131214 hasConceptScore W4313131214C37054046 @default.
• W4313131214 hasConceptScore W4313131214C39432304 @default.
• W4313131214 hasConceptScore W4313131214C41008148 @default.
• W4313131214 hasConceptScore W4313131214C84525736 @default.
• W4313131214 hasConceptScore W4313131214C97137747 @default.
• W4313131214 hasLocation W43131312141 @default.
• W4313131214 hasOpenAccess W4313131214 @default.
• W4313131214 hasPrimaryLocation W43131312141 @default.
• W4313131214 hasRelatedWork W2056594589 @default.
• W4313131214 hasRelatedWork W2380740647 @default.

• next