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Assessment of Biomass Content and Oxygen Production from Tree of Subtropical Area

Journal: International Journal of Trend in Scientific Research and Development (Vol.7, No. 1)

Publication Date:

Authors : ;

Page : 1217-1221

Keywords : tree; subtropical; biomass; oxygen; classification; median; sizes; species;

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Abstract

The accurate classification of tree species is critical for the management of forest ecosystems, particularly subtropical forests, which are highly diverse and complex ecosystems. While airborne Light Detection and Ranging LiDAR technology offers significant potential to estimate forest structural attributes, the capacity of this new tool to classify species is less well known. In this research, full waveform metrics were extracted by a voxel based composite waveform approach and examined with a Random Forests classifier to discriminate six subtropical tree species i.e., Masson pine Pinus massoniana Lamb. , Chinese fir Cunninghamia lanceolata Lamb. Hook. , Slash pines Pinus elliottii Engelm. , Sawtooth oak Quercus acutissima Carruth. and Chinese holly Ilex chinensis Sims. at three levels of discrimination. As part of the analysis, the optimal voxel size for modelling the composite waveforms was investigated, the most important predictor metrics for species classification assessed and the effect of scan angle on species discrimination examined. Results demonstrate that all tree species were classified with relatively high accuracy 68.6 for six classes, 75.8 for four main species and 86.2 for conifers and broadleaved trees . Full waveform metrics based on height of median energy, waveform distance and number of waveform peaks demonstrated high classification importance and were stable among various voxel sizes. The results also suggest that the voxel based approach can alleviate some of the issues associated with large scan angles. Dr. Mahima Chaurasia | Er. Nidhi Prasad | Dr. Sanjeev Kumar Srivastava | Dr. Siddhartha Shukla "Assessment of Biomass Content and Oxygen Production from Tree of Subtropical Area" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1 , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53842.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53842/assessment-of-biomass-content-and-oxygen-production-from-tree-of-subtropical-area/dr-mahima-chaurasia

Last modified: 2023-07-01 15:50:45