ANALISA JENIS MANGROVE MENGGUNAKAN CITRA UAV DENGAN KLASIFIKASI OBIA

Jurnal Hutan Pulau-Pulau Kecil

View Publication Info
 
 
Field Value
 
Title ANALISA JENIS MANGROVE MENGGUNAKAN CITRA UAV DENGAN KLASIFIKASI OBIA
 
Creator Timisela, Woody A.
Mardiatmoko, Gun
Puturuhu, Ferad
 
Description The difficulty of the inventory carried out in the mangrove forest area is due to the vast expanse of ​​mangrove forests with a high-density level, so it must use High-Resolution Satellite Imagery (CSRT) which requires high costs. The approach to processing very high-resolution images is the object-based approach (OBIA). UAV technology development using cameras mounted on UAVs has been widely used in forest inventories that have benefits, low costs, and high flexibility. Therefore, this study aims to analyze the types of mangroves using UAV images with OBIA classification and calculate the tree canopy height model in mangrove forests. The results showed that the accuracy-test used a confusion matrix with Producer accuracy for BG 78%, CT 97%, RS 96.63%, RA 91.04%. In comparison, the user accuracy for BG is 88.89%, CT 97.73%, RS 97.73%, and RA 85%. Thus the overall efficiency is 92.98%.
 
Publisher Program Studi Manajemen Hutan, Pascasarjana Universitas Pattimura
 
Date 2020-10-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ojs3.unpatti.ac.id/index.php/jhppk/article/view/2985
10.30598/jhppk.2020.4.2.132
 
Source JURNAL HUTAN PULAU-PULAU KECIL; Vol 4 No 2 (2020): JHPPK; 132-149
2621-8798
2541-1241
 
Language eng
 
Relation https://ojs3.unpatti.ac.id/index.php/jhppk/article/view/2985/2473
 
Rights Copyright (c) 2020 JURNAL HUTAN PULAU-PULAU KECIL
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library