Matches in SemOpenAlex for { <https://semopenalex.org/work/W2317191508> ?p ?o ?g. }
- W2317191508 endingPage "419" @default.
- W2317191508 startingPage "402" @default.
- W2317191508 abstract "Individual tree crowns are one of the basic forest inventory data, which can be used in various forest-related studies such as biomass and carbon stock estimation. High-resolution remote-sensing data including airborne LiDAR-derived surfaces have been widely used for delineating tree crowns. This study proposes an improved tree crown delineation algorithm that can be effectively applied to a range of forests with a limited number of parameters considering its operational use with airborne LiDAR data. The proposed algorithm integrates morphological operators, Otsu’s method, marker-controlled watershed segmentation, and the concept of crown ratios. The proposed algorithm was compared with the region growing method, a widely used tree crown delineation algorithm. The two algorithms were evaluated over 10 plots in rugged terrain located in Kangwon Province in South Korea. Results show that the proposed approach produced much better performance (~87% matched on average) for 10 plots with a range of tree densit..." @default.
- W2317191508 created "2016-06-24" @default.
- W2317191508 creator A5043490198 @default.
- W2317191508 creator A5056537657 @default.
- W2317191508 creator A5069161853 @default.
- W2317191508 creator A5072574087 @default.
- W2317191508 date "2016-03-16" @default.
- W2317191508 modified "2023-10-16" @default.
- W2317191508 title "An improved tree crown delineation method based on live crown ratios from airborne LiDAR data" @default.
- W2317191508 cites W1486840081 @default.
- W2317191508 cites W1500904013 @default.
- W2317191508 cites W1533472488 @default.
- W2317191508 cites W1601205626 @default.
- W2317191508 cites W1963576007 @default.
- W2317191508 cites W1963610961 @default.
- W2317191508 cites W1964552621 @default.
- W2317191508 cites W1969911242 @default.
- W2317191508 cites W1970437612 @default.
- W2317191508 cites W1977746520 @default.
- W2317191508 cites W1978683887 @default.
- W2317191508 cites W1982057979 @default.
- W2317191508 cites W1982788959 @default.
- W2317191508 cites W1983935692 @default.
- W2317191508 cites W1985291094 @default.
- W2317191508 cites W1990503995 @default.
- W2317191508 cites W1993956929 @default.
- W2317191508 cites W1994434338 @default.
- W2317191508 cites W1995382680 @default.
- W2317191508 cites W1997266048 @default.
- W2317191508 cites W2002326497 @default.
- W2317191508 cites W2006135779 @default.
- W2317191508 cites W2009731464 @default.
- W2317191508 cites W2023226382 @default.
- W2317191508 cites W2027532349 @default.
- W2317191508 cites W2030939714 @default.
- W2317191508 cites W2055734610 @default.
- W2317191508 cites W2058962516 @default.
- W2317191508 cites W2065258204 @default.
- W2317191508 cites W2067853114 @default.
- W2317191508 cites W2076298349 @default.
- W2317191508 cites W2076464553 @default.
- W2317191508 cites W2076712994 @default.
- W2317191508 cites W2080157231 @default.
- W2317191508 cites W2090435005 @default.
- W2317191508 cites W2112742072 @default.
- W2317191508 cites W2121748258 @default.
- W2317191508 cites W2132097058 @default.
- W2317191508 cites W2133059825 @default.
- W2317191508 cites W2140041315 @default.
- W2317191508 cites W2143772210 @default.
- W2317191508 cites W2144158466 @default.
- W2317191508 cites W2146974384 @default.
- W2317191508 cites W2151549592 @default.
- W2317191508 cites W2159105546 @default.
- W2317191508 cites W2165044919 @default.
- W2317191508 cites W2167779601 @default.
- W2317191508 cites W2169059815 @default.
- W2317191508 cites W2174505781 @default.
- W2317191508 cites W2324285853 @default.
- W2317191508 doi "https://doi.org/10.1080/15481603.2016.1158774" @default.
- W2317191508 hasPublicationYear "2016" @default.
- W2317191508 type Work @default.
- W2317191508 sameAs 2317191508 @default.
- W2317191508 citedByCount "24" @default.
- W2317191508 countsByYear W23171915082016 @default.
- W2317191508 countsByYear W23171915082017 @default.
- W2317191508 countsByYear W23171915082018 @default.
- W2317191508 countsByYear W23171915082019 @default.
- W2317191508 countsByYear W23171915082020 @default.
- W2317191508 countsByYear W23171915082021 @default.
- W2317191508 countsByYear W23171915082022 @default.
- W2317191508 countsByYear W23171915082023 @default.
- W2317191508 crossrefType "journal-article" @default.
- W2317191508 hasAuthorship W2317191508A5043490198 @default.
- W2317191508 hasAuthorship W2317191508A5056537657 @default.
- W2317191508 hasAuthorship W2317191508A5069161853 @default.
- W2317191508 hasAuthorship W2317191508A5072574087 @default.
- W2317191508 hasConcept C113174947 @default.
- W2317191508 hasConcept C134306372 @default.
- W2317191508 hasConcept C199343813 @default.
- W2317191508 hasConcept C205649164 @default.
- W2317191508 hasConcept C2778400979 @default.
- W2317191508 hasConcept C33923547 @default.
- W2317191508 hasConcept C39432304 @default.
- W2317191508 hasConcept C51399673 @default.
- W2317191508 hasConcept C58640448 @default.
- W2317191508 hasConcept C62649853 @default.
- W2317191508 hasConcept C71924100 @default.
- W2317191508 hasConcept C97137747 @default.
- W2317191508 hasConceptScore W2317191508C113174947 @default.
- W2317191508 hasConceptScore W2317191508C134306372 @default.
- W2317191508 hasConceptScore W2317191508C199343813 @default.
- W2317191508 hasConceptScore W2317191508C205649164 @default.
- W2317191508 hasConceptScore W2317191508C2778400979 @default.
- W2317191508 hasConceptScore W2317191508C33923547 @default.
- W2317191508 hasConceptScore W2317191508C39432304 @default.
- W2317191508 hasConceptScore W2317191508C51399673 @default.
- W2317191508 hasConceptScore W2317191508C58640448 @default.