FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2911923323> ?p ?o ?g. }

• W2911923323 abstract "Topographic parameters such as slope, aspect, profile curvature, contour curvature and drainage network are usually known as terrain derivatives that enjoy a wide range of engineering and environmental applications. Different Surveying Engineering techniques such as ground surveying, GPS, digital photogrammetry in addition to remote sensing technologies constitute main sources for digital elevation data exploited in extraction of different terrain derivatives at varying qualities. Airborne LiDAR is an efficient technology that can capture very dense and accurate digital elevation data, known as point cloud LiDAR data for extended areas in relatively short times with reasonable costs. However, processing of very high-density point cloud LiDAR data could lead to serious time and memory consumption problems. Thus, reductions of LiDAR data volumes are expected to lower data acquisition and data processing costs; but this might affect the qualities of the extracted terrain derivatives. This study aimed at extraction and evaluation of different terrain derivatives from airborne LiDAR measurements of reduced data volumes including slope, aspect and hillshade maps in addition to evaluation of the elevation residuals that arise due to reductions in LiDAR data volumes. Visual analysis of slope maps, aspect maps and hillshade maps showed clear differences in the sizes and shapes of the colour patches due to reductions in LiDAR data volumes which appears as degradations in the tones and textures in the maps that increases with increasing the amount of reductions from the original data volumes. Statistical analysis of slope maps showed that the standard deviation of the slopes has decreased by only 0.225% and 30.442% due to excluding 50% and 75% of the original LiDAR data respectively. This means that slope maps can withstand reductions in LiDAR data volumes down to 50% of the raw data without clear effects on the statistical properties of the produced slope maps. Error maps resulting due to omitting only 25% of the data is structured where colour patches are relatively small showing wide changes in the tone within the map compared to the error map resulting only from 50% of the LiDAR data which is less structured with smoothed tones. Statistical analysis of the error maps showed that the standard deviation of the elevation residuals increases with the decrease in LiDAR data volume referring to greater uncertainties of the extracted elevations. When LiDAR data volume is decreased from 75% of the original data down to 50% the standard deviation of the elevation residuals has increased by only 17%, however, when decreasing from 75% down to 25% the standard deviation of the elevation residuals has increased by about 101.5%." @default.
• W2911923323 created "2019-02-21" @default.
• W2911923323 creator A5007909590 @default.
• W2911923323 date "2018-01-01" @default.
• W2911923323 modified "2023-10-14" @default.
• W2911923323 title "Extraction and Analysis of Different Terrain Derivatives from Point Cloud Airborne LiDAR Measurements of Reduced Data Volumes" @default.
• W2911923323 doi "https://doi.org/10.4172/2327-4581.1000190" @default.
• W2911923323 hasPublicationYear "2018" @default.
• W2911923323 type Work @default.
• W2911923323 sameAs 2911923323 @default.
• W2911923323 citedByCount "0" @default.
• W2911923323 crossrefType "journal-article" @default.
• W2911923323 hasAuthorship W2911923323A5007909590 @default.
• W2911923323 hasConcept C105795698 @default.
• W2911923323 hasConcept C115051666 @default.
• W2911923323 hasConcept C117455697 @default.
• W2911923323 hasConcept C127313418 @default.
• W2911923323 hasConcept C131979681 @default.
• W2911923323 hasConcept C13280743 @default.
• W2911923323 hasConcept C154945302 @default.
• W2911923323 hasConcept C161840515 @default.
• W2911923323 hasConcept C181843262 @default.
• W2911923323 hasConcept C185592680 @default.
• W2911923323 hasConcept C205649164 @default.
• W2911923323 hasConcept C22679943 @default.
• W2911923323 hasConcept C2524010 @default.
• W2911923323 hasConcept C33923547 @default.
• W2911923323 hasConcept C37054046 @default.
• W2911923323 hasConcept C39432304 @default.
• W2911923323 hasConcept C41008148 @default.
• W2911923323 hasConcept C43617362 @default.
• W2911923323 hasConcept C4725764 @default.
• W2911923323 hasConcept C51399673 @default.
• W2911923323 hasConcept C58640448 @default.
• W2911923323 hasConcept C62649853 @default.
• W2911923323 hasConceptScore W2911923323C105795698 @default.
• W2911923323 hasConceptScore W2911923323C115051666 @default.
• W2911923323 hasConceptScore W2911923323C117455697 @default.
• W2911923323 hasConceptScore W2911923323C127313418 @default.
• W2911923323 hasConceptScore W2911923323C131979681 @default.
• W2911923323 hasConceptScore W2911923323C13280743 @default.
• W2911923323 hasConceptScore W2911923323C154945302 @default.
• W2911923323 hasConceptScore W2911923323C161840515 @default.
• W2911923323 hasConceptScore W2911923323C181843262 @default.
• W2911923323 hasConceptScore W2911923323C185592680 @default.
• W2911923323 hasConceptScore W2911923323C205649164 @default.
• W2911923323 hasConceptScore W2911923323C22679943 @default.
• W2911923323 hasConceptScore W2911923323C2524010 @default.
• W2911923323 hasConceptScore W2911923323C33923547 @default.
• W2911923323 hasConceptScore W2911923323C37054046 @default.
• W2911923323 hasConceptScore W2911923323C39432304 @default.
• W2911923323 hasConceptScore W2911923323C41008148 @default.
• W2911923323 hasConceptScore W2911923323C43617362 @default.
• W2911923323 hasConceptScore W2911923323C4725764 @default.
• W2911923323 hasConceptScore W2911923323C51399673 @default.
• W2911923323 hasConceptScore W2911923323C58640448 @default.
• W2911923323 hasConceptScore W2911923323C62649853 @default.
• W2911923323 hasIssue "04" @default.
• W2911923323 hasLocation W29119233231 @default.
• W2911923323 hasOpenAccess W2911923323 @default.
• W2911923323 hasPrimaryLocation W29119233231 @default.
• W2911923323 hasRelatedWork W1482742579 @default.
• W2911923323 hasRelatedWork W2184056567 @default.
• W2911923323 hasRelatedWork W2584854960 @default.
• W2911923323 hasRelatedWork W2604080183 @default.
• W2911923323 hasRelatedWork W2911923323 @default.
• W2911923323 hasRelatedWork W3096213782 @default.
• W2911923323 hasRelatedWork W4214721552 @default.
• W2911923323 hasRelatedWork W4322733774 @default.
• W2911923323 hasRelatedWork W643171494 @default.
• W2911923323 hasRelatedWork W974163923 @default.
• W2911923323 hasVolume "06" @default.
• W2911923323 isParatext "false" @default.
• W2911923323 isRetracted "false" @default.
• W2911923323 magId "2911923323" @default.
• W2911923323 workType "article" @default.