Application of machine learning algorithms for estimating oceanic Chlorophyll-A and nutrients
The spectroscopic capability of the satellite observation of ocean colour contributes to the estimation of the concentration of Chlorophyll-a (Chl-a) on the ocean surface. Chl-a can be a proxy in the determination of the phytoplankton biomass distribution, which indicates the trophic status of the w...
Saved in:
Main Author: | Ridzuan, Fatin Nabihah Syahira |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/99907/1/FatinNabihahSyahiraMFABU2022.pdf http://eprints.utm.my/id/eprint/99907/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150106 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing
by: Sabarudin, Noor Saadah
Published: (2017) -
Application of a novel hybrid machine learning algorithm in shallow landslide susceptibility mapping in a mountainous area
by: Ghasemian, Bahareh, et al.
Published: (2022) -
Performance evaluation of sentinel-2 and landsat 8 OLI data for land cover/use classification using a comparison between machine learning algorithms
by: Ghayour, Laleh, et al.
Published: (2021) -
Surface elevation changes estimation underneath mangrove canopy using snerl filtering algorithm and dod technique on uav-derived dsm data
by: Mohamad, Norhafizi, et al.
Published: (2022) -
Echo-sounder imaging for fish stock size estimation
by: Abd. Aziz, Mohd. Fazrul Hisam
Published: (2011)