Matches in SemOpenAlex for { <https://semopenalex.org/work/W4247888332> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4247888332 endingPage "194" @default.
- W4247888332 startingPage "187" @default.
- W4247888332 abstract "Tropical forest embraces a large stock of carbon in the global carbon cycle and contributes to the enormous amount of above and below ground biomass. The carbon kept in the aboveground living biomass of trees is typically the largest pool and the most directly impacted by the anthropogenic factor such as deforestation and forest degradation. However, fewer studies had been proposed to model the carbon for tropical rain forest and the quantification still remain uncertainties. A multiple linear regression (MLR) is one of the methods to define the relationship between the field inventory measurements and the statistical extracted from the remotely sensed data which is LiDAR and WorldView-3 imagery (WV-3). This paper highlight the model development from fusion of multispectral WV-3 with the LIDAR metrics to model the carbon estimation of the tropical lowland <i>Dipterocarp</i> forest of the study area. The result shown the over segmentation and under segmentation value for this output is 0.19 and 0.11 respectively, thus D-value for the classification is 0.19 which is 81%. Overall, this study produce a significant correlation coefficient (r) between Crown projection area (CPA) and Carbon stocks (CS); height from LiDAR (H_LDR) and Carbon stocks (CS); and Crown projection area (CPA) and height from LiDAR (H_LDR) were shown 0.671, 0.709 and 0.549 respectively. The CPA of the segmentation found to be representative spatially with higher correlation of relationship between diameter at the breast height (DBH) and carbon stocks which is Pearson Correlation p = 0.000 (p < 0.01) with correlation coefficient (r) is 0.909 which shown that there a good relationship between carbon and DBH predictors to improve the inventory estimates of carbon using multiple linear regression method. The study concluded that the integration of WV-3 imagery with the CHM raster based LiDAR were useful in order to quantify the AGB and carbon stocks for a larger sample area of the Lowland <i>Dipterocarp</i> forest." @default.
- W4247888332 created "2022-05-12" @default.
- W4247888332 creator A5026250428 @default.
- W4247888332 creator A5054352748 @default.
- W4247888332 creator A5054857891 @default.
- W4247888332 creator A5072147509 @default.
- W4247888332 date "2016-06-07" @default.
- W4247888332 modified "2023-09-29" @default.
- W4247888332 title "MODELLING THE CARBON STOCKS ESTIMATION OF THE TROPICAL LOWLAND DIPTEROCARP FOREST USING LIDAR AND REMOTELY SENSED DATA" @default.
- W4247888332 doi "https://doi.org/10.5194/isprsannals-iii-7-187-2016" @default.
- W4247888332 hasPublicationYear "2016" @default.
- W4247888332 type Work @default.
- W4247888332 citedByCount "1" @default.
- W4247888332 countsByYear W42478883322019 @default.
- W4247888332 crossrefType "journal-article" @default.
- W4247888332 hasAuthorship W4247888332A5026250428 @default.
- W4247888332 hasAuthorship W4247888332A5054352748 @default.
- W4247888332 hasAuthorship W4247888332A5054857891 @default.
- W4247888332 hasAuthorship W4247888332A5072147509 @default.
- W4247888332 hasBestOaLocation W42478883321 @default.
- W4247888332 hasConcept C105795698 @default.
- W4247888332 hasConcept C132651083 @default.
- W4247888332 hasConcept C18903297 @default.
- W4247888332 hasConcept C199360897 @default.
- W4247888332 hasConcept C205649164 @default.
- W4247888332 hasConcept C2777399953 @default.
- W4247888332 hasConcept C2778405918 @default.
- W4247888332 hasConcept C2780092901 @default.
- W4247888332 hasConcept C2994081031 @default.
- W4247888332 hasConcept C33923547 @default.
- W4247888332 hasConcept C39432304 @default.
- W4247888332 hasConcept C41008148 @default.
- W4247888332 hasConcept C51399673 @default.
- W4247888332 hasConcept C62649853 @default.
- W4247888332 hasConcept C86803240 @default.
- W4247888332 hasConcept C97137747 @default.
- W4247888332 hasConceptScore W4247888332C105795698 @default.
- W4247888332 hasConceptScore W4247888332C132651083 @default.
- W4247888332 hasConceptScore W4247888332C18903297 @default.
- W4247888332 hasConceptScore W4247888332C199360897 @default.
- W4247888332 hasConceptScore W4247888332C205649164 @default.
- W4247888332 hasConceptScore W4247888332C2777399953 @default.
- W4247888332 hasConceptScore W4247888332C2778405918 @default.
- W4247888332 hasConceptScore W4247888332C2780092901 @default.
- W4247888332 hasConceptScore W4247888332C2994081031 @default.
- W4247888332 hasConceptScore W4247888332C33923547 @default.
- W4247888332 hasConceptScore W4247888332C39432304 @default.
- W4247888332 hasConceptScore W4247888332C41008148 @default.
- W4247888332 hasConceptScore W4247888332C51399673 @default.
- W4247888332 hasConceptScore W4247888332C62649853 @default.
- W4247888332 hasConceptScore W4247888332C86803240 @default.
- W4247888332 hasConceptScore W4247888332C97137747 @default.
- W4247888332 hasLocation W42478883321 @default.
- W4247888332 hasOpenAccess W4247888332 @default.
- W4247888332 hasPrimaryLocation W42478883321 @default.
- W4247888332 hasRelatedWork W2011803907 @default.
- W4247888332 hasRelatedWork W2039232922 @default.
- W4247888332 hasRelatedWork W25096986 @default.
- W4247888332 hasRelatedWork W2625274367 @default.
- W4247888332 hasRelatedWork W2789545189 @default.
- W4247888332 hasRelatedWork W2908636740 @default.
- W4247888332 hasRelatedWork W3212832844 @default.
- W4247888332 hasRelatedWork W4225612665 @default.
- W4247888332 hasRelatedWork W4237737175 @default.
- W4247888332 hasRelatedWork W939063718 @default.
- W4247888332 hasVolume "III-7" @default.
- W4247888332 isParatext "false" @default.
- W4247888332 isRetracted "false" @default.
- W4247888332 workType "article" @default.