Full text: Proceedings, XXth congress (Part 4)

  
  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
  
therefore stored in a unified table structure, a form which has 
been found to facilitate the use of databases by 
multidisciplinary scientists (see also Mueller er a/., 2002). 
  
  
PU - 
( 
Pme ) H 
7 x. 
i Ae od 
f SET A 
§ ANT ee 
> CSN ar 
EN V t 
e: A eR 
cA = a pron 
MP MA Su b I 
P ep le $6 SLTRWGT 0.3 
RE SL A WAVECLIM 2 
S Mo Si 
y uS v T, TIDALRNG 1 
CUN eo er UPLIFT 0.02 
MNA oe Padi, = SY" "779. |RIVERID 5999 
AS C A erit AN oet BASINID -9999 
€ ; AREAL 143 
Ex j res an 
Ty pd C 2 4 
mm ue AREA3 $ 
AREA4 3 
AREAS $ 
AREAS 12 40 
: ; |asiD 723 
T E» / LENGTHY 317.041 
€ E / RED D d 
(ss / UNTRIE 9; 
y i VAT T ir MAJORITY 16 
/ nd ORDER. ID2 -9999 
| CLSFID 722 
A COUNTRID_! 188 
A 4 | TOURIST AR 7083000 
* fi |pcouvrer 187 
(4/4 |BasinF 9999 Y 
odas T » 
S J^ [sl | d 
  
  
  
  
Figure 2: Example of coastline segment and associated attribute 
data 
4. DISCUSSION 
The representation of the coast in DINAS-COAST constitutes 
an improvement compared to other linear data models that have 
been used in the past for representing the coast. Firstly, the 
decomposition of space is not performed in an arbitrary way but 
is instead based on a series of scientific criteria. Secondly, this 
type of representation produces an organized and coherent data 
structure that reduces effectively the complexity of the reality 
to the minimum required. Moreover, it achieves all the above in 
a way that is compatible with the specific demands of the 
product of the project, the DIVA tool. One of the limitations of 
the employed methodology is the fact that the linear segments 
represent the coast in a static way. This limitation stems from 
the reliance of the technique on a particular linear feature. 
However, this is a general problem which is common to all 
linear data reference models of the coast, including dynamic 
segmentation (Sherin, 2000). It is noteworthy that most impact 
and vulnerability analyses have employed some form of coastal 
segmentation at an early stage of analysis. Such an example is 
the first Global Vulnerability Assessment where segmentation 
was essentially based on national boundaries, producing 192 
segments (Hoozemans et al., 1993). 
The data model that has been used has played a fundamental 
role in achieving two of the main targets of DINAS-COAST, 
firstly the inclusion of the complete database within the DIVA 
tool that will be supplied to the end users and secondly the aim 
to address the needs of a wider community of researchers and 
policy makers. The first aim has been achieved without 
compromising the level of detail of the information contained in 
it. This is demonstrated by the fact that the coastline 
segmentation has produced two orders of magnitude more 
segments than Hoozemans ef al. (1993). Nevertheless, due to its 
resolution, the information contained in the database is not 
designed for use at local scales and should be evaluated 
considering all the limitations that are associated with global 
804 
datasets. The second aim has been achieved by making the 
database available in an easily-accessible form as its use does 
not require specialized software and hardware. This makes the 
information included in the DIVA tool accessible to a wide 
range of coastal scientists who have been unable to utilize such 
information in the past. Within this context, the data model 
employed by DIVA and the methods used for transferring the 
GIS data to this model can be viewed as a methodological tool 
for making geodata available to the broader coastal science 
community and to a wider range of disciplines. 
S. CONCLUSIONS 
The methodology developed within the context of DINAS- 
COAST has led to the generation of a global coastal database 
for the purpose of vulnerability assessment. The structure and 
contents of the database reflect the priorities and perspectives 
of the project (Bartlett ef al., 1997) and in that sense these 
factors have been defined to a large extent by project-specific 
needs. However, the methodological and structural advances 
achieved can impact a wider range of applications in a more 
general context. 
The DIVA database has a fundamentally different structure to 
all other global datasets, which are primarily based on raster 
data models. This includes the IGBP-LOICZ coastal typology 
which is raster based (IGBP-LOICZ, 2003). It is expected that 
the cross-disciplinary nature of the database developed and its 
consistency and user-friendliness will satisfy, to a large extent, 
current information needs of the wider coastal-research 
community and will assist coastal scientists in the modelling 
and analysis of coastal processes at regional and global scales. 
It is proposed to make the DIVA database publicly available via 
the International Geosphere Biosphere Program Land Ocean 
Interaction in the Coastal Zone (IGBP-LOICZ). 
REFERENCES 
Bartlett, D., R. Devoy, S. McCall, and I. O'Connor, 1997. A 
Dynamically Segmented Linear Data Model of the Coast, 
Marine Geodesy, 20:137-151. 
Bartlett, D.J., 1993. GIS and the Coastal Zone: An Overview, 
Explorations in Geographic Information Systems Technology: 
Applications in Coastal Zones Research and Management, (D. 
J. Bartlett, ed), vol. 3, Clark Labs for Cartographic Technology 
and Analysis, Worcester, Massachussets, pp. 11-24. 
Bartlett, D.J., 2000. Working on the Frontiers of Science: 
Applying GIS to the Coastal Zone, Marine and Coastal 
Geographical Information Systems, (D. J. Bartlett, ed), Taylor 
and Francis, London, pp. 11-24. 
Debusschere, K.S., S. Penland, K.A. Westphal, P.D. Reimer, 
and R.A. McBride, 1992. Aerial Videotape Mapping of Coastal 
Geomorphic Changes, Seventh Symposium on Coastal and 
Ocean Management (Coastal Zone '89), July 8-12, Long Beach, 
CA, pp. 370-390. 
Eberhart, R.C., and T.J. Dolan, 1980. Chesapeake Bay 
Development Pressures: Rams Database Analysis, Second 
Symposium on Coastal and Ocean Management (Coastal Zone 
80), New York. American Society of Civil Engineers. 
Inter: 
Frick 
Descı 
137. 
Good 
Geog 
and F 
Hink: 
Tool 
LOIC 
Hooz 
A Gl 
Popu 
Scale 
IGBF 
Prog! 
http:/ 
Leatt 
video 
apprc 
Rese 
Lock 
and 
Cont: 
Mari 
Bartl 
McF: 
Datal 
Coas 
23M 
Mout 
for G 
Muel 
- Ti 
Geog 
ESRI 
Sheri 
Dyna 
Data, 
(D. J 
pp. 
Sheri 
syste 
Tech 
Shup 
A pil 
(R. T 
Wey| 
Zone 
Q1.
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.