FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2014799245> ?p ?o ?g. }

• W2014799245 endingPage "177" @default.
• W2014799245 startingPage "167" @default.
• W2014799245 abstract "Abstract A key requirement of sustainable forest management is accurate, timely, and comprehensive information on forest resources, which is provided through forest inventories. In Canada, forest inventories are conventionally undertaken through the delineation and interpretation of forest stands using aerial photography, supported by data from permanent and temporary sample plots. In recent years, Airborne Laser Scanning (ALS) data have been shown to provide accurate estimates of a range of forest structural attributes. As a result, ALS has emerged as an increasingly common data source for enhanced forest inventory programs. Capture of species compositional information with ALS, based upon the nature of the data, is less reliable than structural variables, with species information typically derived from spectral or textural interpretation of aerial photography or very high spatial resolution digital imagery. Utilizing national allometric equations for the major species found in British Columbia, Canada, and a series of individual tree-level simulations, we analyzed (i) how incorrect species identification can influence individual tree volume prediction; (ii) which of the possible species substitutions result in higher volume errors; (iii) how the error in height that is typical for photogrammetry-based and ALS-based forest inventories impacts individual tree volume estimates; and (iv) the impact of combined errors in both species composition and height on overall individual tree volume estimates. Our results indicate that species information is important for volume calculations, and that the use of generic (i.e. all species) or cover-type allometric equations can lead to large errors in volume estimates. We also found that, even with a 50% error in species composition (whereby incorrect species-specific equations are substituted), volume estimates derived from species-specific allometric equations were more accurate than estimates derived from generic or cover-type equations. Our findings indicate that errors in species composition have less impact on individual tree volume estimates than errors in height measurement. The implications of these results are that, with very accurate estimates of height provided by ALS and knowledge of what dominant species is expected in a stand, accurate estimates of volume can be generated in the absence of more detailed species composition information." @default.
• W2014799245 created "2016-06-24" @default.
• W2014799245 creator A5006928044 @default.
• W2014799245 creator A5050842469 @default.
• W2014799245 creator A5051219165 @default.
• W2014799245 creator A5077764827 @default.
• W2014799245 date "2014-09-01" @default.
• W2014799245 modified "2023-09-26" @default.
• W2014799245 title "Simulating the impacts of error in species and height upon tree volume derived from airborne laser scanning data" @default.
• W2014799245 cites W1496824059 @default.
• W2014799245 cites W1626119784 @default.
• W2014799245 cites W1967222170 @default.
• W2014799245 cites W1968385740 @default.
• W2014799245 cites W1969607685 @default.
• W2014799245 cites W1970535395 @default.
• W2014799245 cites W1977428739 @default.
• W2014799245 cites W1979678339 @default.
• W2014799245 cites W1983967760 @default.
• W2014799245 cites W1990763871 @default.
• W2014799245 cites W2006286431 @default.
• W2014799245 cites W2010221273 @default.
• W2014799245 cites W2012632249 @default.
• W2014799245 cites W2013156772 @default.
• W2014799245 cites W2014681113 @default.
• W2014799245 cites W2017131791 @default.
• W2014799245 cites W2017706717 @default.
• W2014799245 cites W2028716078 @default.
• W2014799245 cites W2039960261 @default.
• W2014799245 cites W2043871384 @default.
• W2014799245 cites W2044366455 @default.
• W2014799245 cites W2051055857 @default.
• W2014799245 cites W2051586552 @default.
• W2014799245 cites W2055734610 @default.
• W2014799245 cites W2056380340 @default.
• W2014799245 cites W2063789326 @default.
• W2014799245 cites W2071215415 @default.
• W2014799245 cites W2078303453 @default.
• W2014799245 cites W2086461898 @default.
• W2014799245 cites W2090137677 @default.
• W2014799245 cites W2097337758 @default.
• W2014799245 cites W2098084344 @default.
• W2014799245 cites W2102947491 @default.
• W2014799245 cites W2108346330 @default.
• W2014799245 cites W2116674621 @default.
• W2014799245 cites W2121853134 @default.
• W2014799245 cites W2121942758 @default.
• W2014799245 cites W2122450383 @default.
• W2014799245 cites W2127354426 @default.
• W2014799245 cites W2133145071 @default.
• W2014799245 cites W2133160971 @default.
• W2014799245 cites W2133715570 @default.
• W2014799245 cites W2143684995 @default.
• W2014799245 cites W2145442946 @default.
• W2014799245 cites W2146974384 @default.
• W2014799245 cites W2147197381 @default.
• W2014799245 cites W2147547492 @default.
• W2014799245 cites W2155714399 @default.
• W2014799245 cites W2159911025 @default.
• W2014799245 cites W2165044919 @default.
• W2014799245 cites W2171917943 @default.
• W2014799245 cites W2273297058 @default.
• W2014799245 cites W2896261493 @default.
• W2014799245 doi "https://doi.org/10.1016/j.foreco.2014.05.011" @default.
• W2014799245 hasPublicationYear "2014" @default.
• W2014799245 type Work @default.
• W2014799245 sameAs 2014799245 @default.
• W2014799245 citedByCount "37" @default.
• W2014799245 countsByYear W20147992452014 @default.
• W2014799245 countsByYear W20147992452015 @default.
• W2014799245 countsByYear W20147992452016 @default.
• W2014799245 countsByYear W20147992452018 @default.
• W2014799245 countsByYear W20147992452019 @default.
• W2014799245 countsByYear W20147992452020 @default.
• W2014799245 countsByYear W20147992452021 @default.
• W2014799245 countsByYear W20147992452022 @default.
• W2014799245 crossrefType "journal-article" @default.
• W2014799245 hasAuthorship W2014799245A5006928044 @default.
• W2014799245 hasAuthorship W2014799245A5050842469 @default.
• W2014799245 hasAuthorship W2014799245A5051219165 @default.
• W2014799245 hasAuthorship W2014799245A5077764827 @default.
• W2014799245 hasConcept C113174947 @default.
• W2014799245 hasConcept C120665830 @default.
• W2014799245 hasConcept C121332964 @default.
• W2014799245 hasConcept C134306372 @default.
• W2014799245 hasConcept C141349535 @default.
• W2014799245 hasConcept C18903297 @default.
• W2014799245 hasConcept C20556612 @default.
• W2014799245 hasConcept C205649164 @default.
• W2014799245 hasConcept C33923547 @default.
• W2014799245 hasConcept C39432304 @default.
• W2014799245 hasConcept C520434653 @default.
• W2014799245 hasConcept C62520636 @default.
• W2014799245 hasConcept C62649853 @default.
• W2014799245 hasConcept C86803240 @default.
• W2014799245 hasConcept C97137747 @default.
• W2014799245 hasConceptScore W2014799245C113174947 @default.
• W2014799245 hasConceptScore W2014799245C120665830 @default.
• W2014799245 hasConceptScore W2014799245C121332964 @default.

• next