Skip to main navigation
Skip to search
Skip to main content
Universitas Indonesia Home
Home
Profiles
Research units
Research output
Equipments
Projects
Activities
Press/Media
Search by expertise, name or affiliation
Bathymetry Extraction from Spot 7 Satellite Imagery Using Random Forest Methods
Mohammad Syamsu Rosid
Department of Physics
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bathymetry Extraction from Spot 7 Satellite Imagery Using Random Forest Methods'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Satellite Imagery
100%
SPOT-7
100%
Bathymetry
100%
Random Forest Method
100%
Benthic Habitat
80%
Coefficient of Determination
40%
Bathymetry Estimation
40%
Indonesia
20%
Macroalgae
20%
Seawater
20%
Coral Reefs
20%
In Situ
20%
Random Forest Algorithm
20%
Shallow Sea
20%
Seagrass
20%
East Nusa Tenggara Province
20%
Shallow Water
20%
Depth Data
20%
Data Modification
20%
Matra
20%
Shallow Marine Habitats
20%
Earth and Planetary Sciences
Satellite Imagery
100%
Bathymeter
100%
SPOT
83%
Indonesia
16%
Coral Reef
16%
Sea Grasses
16%
Shallow Water
16%
Marine Habitat
16%
Macroalga
16%