Data Collection
'
‘
The first step of the research was to review existing information about the Nile Delta
‘
coastal issues, to conduct interviews with current and potential coastal stakeholders, and
to identify institutions with data and database capabilities. An inventory of data availability
was created to highlight key institutions with diverse sets of physical and oceanographic
.
.
data,
including
water
quality, bathymetry, currents, shoreline changes, sediments
characteristics and existing coastal land use. But, unfortunately there was a general lack
of effective mechanisms f0r data sharing, integration, synthesis and interpretation; a
_
protocol for data sharing between institutions was thus required.
[
Design of information-system for Delta Coast Monitoring and Management
!
First, the Easy (Environmental Analysis System) GIS software package that is
developed by University of South California (USC) was used or spatial data display and
_
analysis.
It runs under Windows operating systems upon PC desktops and upon PC
%
servers.
The power of the software is based upon theGIS capacity to integrate diverse
types of environmental information and models within a 4 dimensional context of space
Î
and time.
Its power is also based upon the incorporation of interfaces to automate the
l
process of updating information on the server. Types of spatial data that can be handled
by Easy comprise rester satellite images and its
vector topographic and
i
thematic maps and in.—situ data (field measurements). The EASY GIS software was used
as an operational demonstration of a coastal water quality monitoring system. Ocean
Î l
color and temperature data acquired from satellites was processed using algorithms
optimized for near—shore coastal waters and integrated with in—situ data from buoys and
ships. The components of the information system are illustrated in figure 2. These and
‘
other ancillary data have been analyzed in a desktop modeling and mapping tool in order
to produce details products.
Key features of the EASY GIS software include:
«
processing data from ocean colour and temperature sensors such as OrbView—Z
SeaWiFS and NCAA AVHRR
-
—.
EO processing algorithms optimised for specific coastal areas
_
-
a
visualisation and analysis tool to enable regional experts to merge satellite
products,
in—situ
observations,
and
local
models
to
routinely
produce
commercial quality maps of environmental conditions
-
provision of frequent data to end—users by providing routine dissemination via
the world—wide—web
Ï
-
Receipt of data from buoys which transmit real-time in—situ data via the
;
ORBCOMM satellite data messaging system.
The
EASy GIS employs commercial relational databases (most commonly
ACCESS) as the basis for data management.
Figure (3) illustrates the information
system design and how remote sensing data are integrated sites. It shows also the links
between
the different server subsystems (EASy, Dynamic Atlas and MS relational
database) that construct system’s core. In addition, how the clients interact with the
system for data preparation, retrieving,, analysis and development (EASY, 1997). While
figure shows the data organization within the system, which include mainly three types of
:
data 1) Raster satellite images, 2) Vector thematic maps, and 3) field measurement (insrtu data). The ICAMS information system based on data.acquired mainly by SeaWiFS,
NCAA, _MODIS
and
Landsat satellites, since these satellites support wide range of
applications related to oceanographyin.»…gene-ral and sea.water quality in particular.
For the SeaWiFS satellite, the oceanic products include chlorophyll concentration, Kd
(490), and L….(À) at 5 wavelengths. Most of theVariables involved in remote sensing of
52
'
'
‘
The first step of the research was to review existing information about the Nile Delta
‘
coastal issues, to conduct interviews with current and potential coastal stakeholders, and
to identify institutions with data and database capabilities. An inventory of data availability
was created to highlight key institutions with diverse sets of physical and oceanographic
.
.
data,
including
water
quality, bathymetry, currents, shoreline changes, sediments
characteristics and existing coastal land use. But, unfortunately there was a general lack
of effective mechanisms f0r data sharing, integration, synthesis and interpretation; a
_
protocol for data sharing between institutions was thus required.
[
Design of information-system for Delta Coast Monitoring and Management
!
First, the Easy (Environmental Analysis System) GIS software package that is
developed by University of South California (USC) was used or spatial data display and
_
analysis.
It runs under Windows operating systems upon PC desktops and upon PC
%
servers.
The power of the software is based upon theGIS capacity to integrate diverse
types of environmental information and models within a 4 dimensional context of space
Î
and time.
Its power is also based upon the incorporation of interfaces to automate the
l
process of updating information on the server. Types of spatial data that can be handled
by Easy comprise rester satellite images and its
vector topographic and
i
thematic maps and in.—situ data (field measurements). The EASY GIS software was used
as an operational demonstration of a coastal water quality monitoring system. Ocean
Î l
color and temperature data acquired from satellites was processed using algorithms
optimized for near—shore coastal waters and integrated with in—situ data from buoys and
ships. The components of the information system are illustrated in figure 2. These and
‘
other ancillary data have been analyzed in a desktop modeling and mapping tool in order
to produce details products.
Key features of the EASY GIS software include:
«
processing data from ocean colour and temperature sensors such as OrbView—Z
SeaWiFS and NCAA AVHRR
-
—.
EO processing algorithms optimised for specific coastal areas
_
-
a
visualisation and analysis tool to enable regional experts to merge satellite
products,
in—situ
observations,
and
local
models
to
routinely
produce
commercial quality maps of environmental conditions
-
provision of frequent data to end—users by providing routine dissemination via
the world—wide—web
Ï
-
Receipt of data from buoys which transmit real-time in—situ data via the
;
ORBCOMM satellite data messaging system.
The
EASy GIS employs commercial relational databases (most commonly
ACCESS) as the basis for data management.
Figure (3) illustrates the information
system design and how remote sensing data are integrated sites. It shows also the links
between
the different server subsystems (EASy, Dynamic Atlas and MS relational
database) that construct system’s core. In addition, how the clients interact with the
system for data preparation, retrieving,, analysis and development (EASY, 1997). While
figure shows the data organization within the system, which include mainly three types of
:
data 1) Raster satellite images, 2) Vector thematic maps, and 3) field measurement (insrtu data). The ICAMS information system based on data.acquired mainly by SeaWiFS,
NCAA, _MODIS
and
Landsat satellites, since these satellites support wide range of
applications related to oceanographyin.»…gene-ral and sea.water quality in particular.
For the SeaWiFS satellite, the oceanic products include chlorophyll concentration, Kd
(490), and L….(À) at 5 wavelengths. Most of theVariables involved in remote sensing of
52
'