ISPRS, Vol.34, Part 2W2, "Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001
344
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International
control
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International
Public common-
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c ontrol
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National
Public
Predo
minant
govern
ment
control
Public/
private
Exten
sive
govern
ment
control
Private/
public
Í-
Predominant
private sector
control
Local Community District/Municipality
Province/State National
Impacts
• Nutrients
• Sediments
• Pollutants
Commercial distant water fishing
Artisanal and commercial
fishing
Offshore fisheries
International
Water
Exclusive Econ omic Zone
(to maximum extent of 2 30 nautical miles)
Territorial sea
(the oceanward
boundary varies
among nations)
High Seas ■
Inshore fisheries
Economic
Sector
■ Agriculture • Port and
■ Industry harbor
■ Settlement • Aquaculture
■ Urban • Coastal
development tourism
1 Forestry • Transportation
i
n
JZ
Habitats
L-*»
(Mangrove, coral
—*>
reefs, seagrasses)
Fig. 1. Definitions of Coastal Zone of Different Disciplines (after Yanez-Arancibia, 1999).
These applications mainly utilise the remotely sensed data, such
as satellite, airphotos and sonar, combined with ground truth and
other existing vector data layers. The GIS functions used in this
type of application is mainly the clustering (or classification)
techniques, image processing methods, raster-vector conversion
and overlay functions.
B. Environmental monitoring
Environmental monitoring is one of the routine tasks in CZM,
including water quality monitoring, habitats / boidiversity
monitoring and beach watch. For example, Maktav et al. (2000)
use GIS in monitoring of the sea turtle movement. Steve and
Craig used GIS for tracking lobster in the East Coastal of
Australia. Hecht (1991) carried a real-time monitoring of a bay,
and Hooge, et al., (2000) has developed a more sophiciated GIS
toolbox, named “the animal movement analyst extension (AMAE)’
with Arcview, for analysing animal movements in the marine
environment.
This type of application involves tagging samples and presenting
result of sampling over geographic space and pattern changes in
time. Linking spatial data and non-spatial data is the key
functions in the exercise.
C. Coastal processes modeling
The modeling of physical environmental changes due to changes
in the boundary conditions, ranges from simulation of effects of
sea-level rise (Ruth and Pieper 1993, Grossman and Eberhardt
1992, Zeng and Cowell, 1999, Henneck 2000), assessment of
human intervention of shoreline change (Huang et al., 1999), and
use of historical data to predict future coastline change (Sims et
al., 1995) and study of beach morphodynamics (Humphries and
Ligdas, 1997).