Open AccessA Comparative Flight Altitude Using Multi-Rotor UAV for Oil Palm Tree Counting
Author(s) -
Noorfatekah Talib,
M. S. Saad,
Siti Aminah Anshah,
Nurhafiza Md Saad,
Mimi Diana Ghazali,
Mohd Abdullah,
Wan Jafni Hazwan Wan Mohd Jailani
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/620/1/012006
Subject(s) - photogrammetry , remote sensing , software , altitude (triangle) , lidar , mean squared error , computer science , palm oil , tree (set theory) , environmental science , geography , mathematics , statistics , agroforestry , mathematical analysis , geometry , programming language
Unmanned Aerial Vehicle (UAV) is a new platform used in various applications such as landslide monitoring, agriculture, mapping, traffic control, mining, and others. In the photogrammetry survey, the use of UAV is cheaper and more effective for 3-dimensional modelling compared with traditional photogrammetry and Light Detection and Ranging (LIDAR). The ability of UAV to acquire data at a different altitude below the cloud coverage and easy to control has made it one of the most popular platforms in surveying applications. The objective of this paper is to count the numbers of the oil palm tree and define the most suitable flight attitude for tree counting based on the different UAV processing software. The study area is located at Felda Laka Temin in Chuping, Perlis. The comparison of flight altitude is 100m and 200m processed in Agisoft PhotoScan and Pix4D Mapper software. The analysis has been done with errors in Standard Deviation and Root Mean Square Error (RMSE) of Ground Control Point (GCP) which are generated using two different software.