Non-destructive above ground biomass estimation of individual tree species using airborne LiDAR data for combating global warming

BAŞ N., GÜRSOY Ö., TÜRK T., ATUN R., Koc K.

INTERNATIONAL JOURNAL OF GLOBAL WARMING, vol.27, no.4, pp.422-440, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.1504/ijgw.2022.124627
  • Journal Name: INTERNATIONAL JOURNAL OF GLOBAL WARMING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, INSPEC, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.422-440
  • Keywords: biomass, carbon, climate change, LiDAR, allometric equation, PROGRESSIVE TIN DENSIFICATION, TROPICAL MOIST FOREST, ALLOMETRIC EQUATIONS, ABOVEGROUND BIOMASS, CARBON STOCKS, MODELS, DEFORESTATION, ACCUMULATION
  • Sivas Cumhuriyet University Affiliated: Yes

Abstract

Biomass is a globally utilised strategy to reduce the effects of global warming. The amount of carbon from biomass requires comprehensive knowledge of which tree species absorb carbon best. The airborne light detection and ranging (LiDAR) technique can determine biomass in different tree species. The aim of this study was to develop a method for assessing biomass for individual tree species using allometric equation method in Black Sea Region of Turkey. This study focused on two important parameters which is diameter at breast height (DBH) and tree height during the process. LiDAR derived canopy height model (CHM) was used to extract tree parameter. The relationship between the obtained biomass amounts and the values measured in the field was revealed. As a result of this, R-2 and RMSE values for Site-1 are 0.89 m (RMSE = 53.56 kg/tree), 0.65 m (RMSE = 99.36 kg/tree) for Site-2 and 0.99 m (RMSE = 801.55 kg/tree) for Site-3 respectively.