TELKOMNIKA Telecommunication, Computing, Electronics and Control
Drone image-based parameters for assessing the vegetation condition the reclamation success in post-mining oil exploration

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Drone image-based parameters for assessing the vegetation condition the reclamation success in post-mining oil exploration

Infrared
Post-oil mining exploration
Synthetic images
Unmanned aerial vehicle
Vegetation indices

This paper examines drone-based parameters for assessing the success of

reclamation activities in post-mining oil-exploration area. The applied drone-
based images were multispectral images having visible light and infrared

wavelength regions with 5 cm spatial resolution. The main objective of the
study is to develop a mathematical model to estimate a reclamation success,
through development of success indices. The model were developed by
analyzing the relationship between the vegetation success and the digital
number values of original and/or synthetic images of drone-based images
using 70 sample plots. The mathematical models were developed using a
regression analysis, where responses are biomass, volume, and basal area,
while the independent variables were original digital number value of images
and their derivative synthetic images. The study found that there is a close
relationship between parameter biomass stock (ton/ha) and basal area (cm)
with both, i.e., original digital number and vegetation indices.

Tirta Negara, I Nengah Surati Jaya, Cecep Kusmana, Irdika Mansur, Nitya Ade Santi

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

Jul 16, 2020

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