Quantification of submerged seagrass total aboveground biomass for Malaysian coastal waters using remote sensing data
Multi-species of seagrass forms dense benthic communities in the coastal clear (Case 1) and less clear water (Case 2) in Malaysia. There are two types of seagrass, i.e. intertidal and submerged, which can easily be found in Malaysia. Satellite remote sensing data is an effective tool to be used in m...
Saved in:
Main Author: | Misbari, Syarifuddin |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/79544/1/SyarifuddinMisbariPFGHT2017.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modelling aboveground biomass of oil palm using destructive method and remote sensing data
by: Sunaryathy, Putri Ida
Published: (2016) -
Modelling seagrass blue carbon stock in seagrass-mangrove habitats using remote sensing approach
by: Sani, Dalhatu Aliyu
Published: (2020) -
Non-destructive individual tree aboveground biomass estimation in tropical rainforest using terrestrial laser scanner
by: Abu Bakar, Md. Afif
Published: (2016) -
Drought assessment modelling using biophysical parameters and remote sensing data
by: Mokhtari, Mohammad Hossein
Published: (2012) -
Identification of fishing ground using local knowledge and remote sensing data
by: Rosli, Mohamad Rahimi
Published: (2017)