UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy

Tree crown delineation are the basis of precision forestry and agriculture precision forestry and agriculture rely on accurate tree delineation. There are many techniques and algorithms that can be applied in order to create the tree crown delineation whether in forest or plantation. However, the re...

Full description

Saved in:

Bibliographic Details
Main Author:	Nik Nazmy, Nik Syaza Sahiera
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Aerial geography Fruit trees
Online Access:	https://ir.uitm.edu.my/id/eprint/67004/1/67004.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.67004
record_format	uketd_dc
spelling	my-uitm-ir.670042022-09-25T16:35:31Z UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy 2022-09-20 Nik Nazmy, Nik Syaza Sahiera Aerial geography Fruit trees Tree crown delineation are the basis of precision forestry and agriculture precision forestry and agriculture rely on accurate tree delineation. There are many techniques and algorithms that can be applied in order to create the tree crown delineation whether in forest or plantation. However, the result of each segmentation technique or algorithm used derive difference result. This study was conducted at Harumanis plantation located at UiTM Arau, Perlis with the aim of to access the tree crown delineation of Harumanis plantation from UAV multispectral using two algorithms between watershed segmentation and local maxima and local minima. In this study, conventional method was used to derive the parameter and positioned of tree, functioned as reference. The UAV multispectral image was used to determine the individual tree crown delineation by using algorithm of watershed and local maxima and minima which had been processed using eCognition software. Besides that, the manually digitized of tree crown delineation was conducted to perform the accuracy assessment. The output of tree crown delineation of watershed and local maxima and minima shown watershed algorithm has higher accuracy with 83.3% of Total 1:1 match and 73% of goodness of fit while local maxima and minima are 81.7% and 71%. This research will benefit the forest management for the future planning and forest quantification estimation using remote sensing technology. 2022-09 Thesis https://ir.uitm.edu.my/id/eprint/67004/ https://ir.uitm.edu.my/id/eprint/67004/1/67004.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Fruit trees
spellingShingle	Aerial geography Fruit trees Nik Nazmy, Nik Syaza Sahiera UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy
description	Tree crown delineation are the basis of precision forestry and agriculture precision forestry and agriculture rely on accurate tree delineation. There are many techniques and algorithms that can be applied in order to create the tree crown delineation whether in forest or plantation. However, the result of each segmentation technique or algorithm used derive difference result. This study was conducted at Harumanis plantation located at UiTM Arau, Perlis with the aim of to access the tree crown delineation of Harumanis plantation from UAV multispectral using two algorithms between watershed segmentation and local maxima and local minima. In this study, conventional method was used to derive the parameter and positioned of tree, functioned as reference. The UAV multispectral image was used to determine the individual tree crown delineation by using algorithm of watershed and local maxima and minima which had been processed using eCognition software. Besides that, the manually digitized of tree crown delineation was conducted to perform the accuracy assessment. The output of tree crown delineation of watershed and local maxima and minima shown watershed algorithm has higher accuracy with 83.3% of Total 1:1 match and 73% of goodness of fit while local maxima and minima are 81.7% and 71%. This research will benefit the forest management for the future planning and forest quantification estimation using remote sensing technology.
format	Thesis
qualification_level	Bachelor degree
author	Nik Nazmy, Nik Syaza Sahiera
author_facet	Nik Nazmy, Nik Syaza Sahiera
author_sort	Nik Nazmy, Nik Syaza Sahiera
title	UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy
title_short	UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy
title_full	UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy
title_fullStr	UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy
title_full_unstemmed	UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy
title_sort	uav multispectral image for tree crown delineation of mangifera indica using object based image analysis [obia] / nik syaza sahiera nik nazmy
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/67004/1/67004.pdf
_version_	1783735655058112512

UAV multispectral image for tree crown delineation of mangifera indica using object based image analysis [OBIA] / Nik Syaza Sahiera Nik Nazmy

Similar Items