PEMANFAATAN DATA LIDAR UNTUK PENGHITUNGAN JUMLAH KANOPI POHON JATI
| Main Authors: | , WAHYU EKO PURNOMO, , Dr. Ir. Istarno, Dip.LIS., M.T. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2014
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/127078/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67321 |
Daftar Isi:
- Teak plantations in Indonesia is growing, it needs a proper method to simplify and accelerate the management of teak garden. LIDAR (Light Detection and Ranging) is a new technology in the field of mapping and surveying. This project aims to determine the number of teak trees in area high density areas and low density areas.The data used in this project is the DSM (Digital Surface Model) data, orthophoto data, and field data. DSM data and orthophoto data is the result of data processing LAS files produceed by PT. Atlas Delta Satya, Jakarta. Location LIDAR data acquisition is in the area of teak plantations in the area Nganjuk, East Java. Data field survey were done by the author. Implementation of the project counts oak canopy covers DSM data and orthophoto data processing. DSM and orthophoto data extraction process is done automatically using software ecognition developer v8.7. The result of automatic extraction of DSM data and orthophoto data were compared to the data observed directly in the field. Based on the comparation results, the difference of oak canopy was determined. Analysis was also done to identify factors causing the errors. The results shows that the number of teak trees obtained by the DSM data are 165 teak trees in high density areas and 44 teak trees in low density areas. By using orthophoto data, the number of teak trees are 169 in high density areas and 49 teak trees in low density areas. While the computed teak trees on the field are 189 teak trees in high density areas and 50 teak trees in low density areas. The differences number of oak trees occures because automatic extraction has limited capability to differentiate close objects that have similar height.