TELKOMNIKA Telecommunication, Computing, Electronics and Control
Biomass estimation model for peat swamp forest ecosystem using light detection and ranging

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Biomass estimation model for peat swamp forest ecosystem using light detection and ranging

Allometry
Biomass
Canopy cover
LiDAR
Peat Swamp forest

Peat swamp forest plays a very important role in absorbing and storing large
amounts of terrestrial carbon, both above ground and in the soil. There has
been a lot of research on the estimation of the amount of biomass above the
ground, but a little on peat swamp ecosystems using light detection and
ranging (LiDAR) technology, especially in Indonesia. The purpose of this
study is to build a biomass estimation model based on LiDAR data. This
technology can obtain information about the structure and characteristics of
any vegetation in detail and in real time. Data was obtained from the East
Kotawaringin Regency, Central Kalimantan. Biomass field was generated
from the available allometry, and Point cloud of LiDAR was extracted into
canopy cover (CC), and data on tree height, using the FRCI and local maxima
(LM) method, respectively. The CC and tree height data were then used as
independent variables in building the regression model. The best-fitted model
was obtained after the scoring and ranking of several regression forms such as
linear, quadratic, power, exponential and logarithmic. This research concluded
that the quadratic regression model, with R2 of 72.16% and root mean square
error (RMSE) of 0.0003% is the best-fitted estimation model (BK). Finally,
the biomass value from the models was 244.510 tons/ha.

Muhamad Rizal, M. Buce Saleh, Lilik Budi Prasetyo

http://journal.uad.ac.id/index.php/TELKOMNIKA

Nov 25, 2020

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