Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid
Oil palm is becoming an important source in its production of vegetable oil. Oil palm tree information is important for sustainability assessments and agriculture precision. Therefore, the oil palm tree counting technique is crucial to monitor the development of the oil palm plantations especially w...
Saved in:
Main Author: | Khalid, Nurul Syafiqah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/33608/1/33608.pdf http://ir.uitm.edu.my/id/eprint/33608/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessment of pleiades satellite image for mangrove forest classification / Sharul Nizam Rosli
by: Rosli, Sharul Nizam
Published: (2020) -
Geospatial analysis of heat concentrations in urban residenatial area of Shah Alam / Nur Adilla Nordin
by: Nordin, Nur Adilla
Published: (2021) -
Quantifying forest disturbance using LiDAR data and time series Landsat images / Syaza Rozali
by: Rozali, Syaza
Published: (2021) -
Building extraction for 3D city modelling using infused airborne LiDAR and high-resolution aerial photograph
by: Sani, Ojogbane Success
Published: (2021) -
An enhancement of TanDEM-X digital elevation model [DEM] using GNSS levelling data / Muhammad Nur Amin Azhan
by: Azhan, Muhammad Nur Amin
Published: (2021)