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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
h) Navigation Information — The detailed navigation information
including the geographical position, depth, depth of the lake floor,
as well as heading and speed are indicated in the navigation panel of
the data browser. The navigation information remains synchronised
with other visualisation panels and is updated in accordance to the
state of browser in both interactive and replay modes.
i) Video Log — The availability of a video log is indicated on the
timeline chart depicted in Figure 6(c). Correspondingly, the replay
of the available video sequences may be triggered "clicking" the
corresponding area of the timeline chart. During replay, all visu-
alisation components, including the map, the timeline, as well as
the navigation information remain synchronised with the particular
frame of the video sequence. Clicking the video reveals an Obser-
vation form depicted in Figure 6(c), which facilitates collaborative
aggregation of observations.
j) Master Environmental Variables — Sensory data of water qual-
ity have been monitored during all dives, registering temperature
(C), oxygen level (976) and salinity (76) of the water. Irregular fre-
quency of measurements was unified by interpolating all data (how)
to one second time-step Theses data are each plotted versus depth.
If there is no selected day, all the dataset is represented, allowing
an overall view of behaviour of theses variables. On the other hand,
if a specific day is selected theses plots each show one line per sub-
marines color-wise represented for this daily data. A crosshair bar
is synchronised with the browsing of the depth plot.
k) Sample Information — If a sample icon is clicked on the map
or on the timeline, information about this sample is displayed (type,
time, coordinates, coordinates, people that collected it and project
it was used on). Actual content of the sample are not yet available
online on this platform.
2.5 Data structure
The developed GIS platform includes a Google Fusion Tables-powered
online database of temporally and spatially synchronised sensory
data, which allows systematic search, retrieval, as well as collab-
orative editing. In particular, the semantic structure of the entire
dataset is depicted in Figure 7. The resultant data is stored using
XML, specifically the Open Geospacial Consortium (OGC) KML
and OGC GML/Observations and Measurements (OM)4 Sensor Web
Enablement (SWE) schemas as detailed in the corresponding OGC
standards. The simplified examples of the XML files that are utilised
by our Web GIS platform are depicted in Tables 1 and 2.
3 CONCLUSIONS
We have developed a collaborative Web-based GIS platform, which
facilitates efficient management, sharing and dissemination of multi-
modal scientific data.
Multiple sources of multi-modal data, including continuous in-situ
measurements, as well as discrete water and sediment samples have
have been accurately geo-referenced and mapped. The precise syn-
chronisation of the video logs collected throughout the entire course
of the field campaign has been achieved by the frame-by-frame
timestamp analysis. This allows for a classification of the lake
floor morphology; analysis of the sediment mechanical properties;
as well as observation and classification of the lake flora and fauna.
The developed Web-GIS platform provides the necessary collabo-
rative functionality to facilitate such analysis.
Survey Regions «GML» | Equipment <GML>
| ed
Class: Region Class: Instrument
* Region ID (PK) * Instrument ID (PK)
* Region Name * Instrument Name
> Description + Description
+ Overlay + Format
de +
T
Class: Overlay | Class: Sensor
Inks SomoriDPK)
+ Sensor Name
+ Description
+ Calibration
links | Class: Data Statistics T
* Instrument ID (FK)
* Description
* Values
+
Survey Data <KML+GM LA Observ ations <KM L+GML>
wm r^ um T
Class: Date Class: Observation
* DatelD (PK) + Obs ID (PK)
— + Date + ObsType ID (FK)
+ Region ID (FK) 3 :
+ e
link V
T inks
Class: Platform Class: Observation
Type
* MirID (PK)
+ + ObsType ID (PK
I + ObsType
+ Description
Class: Data +
+ Instrument ID (FK) extends
+ Values
+
Figure 7: Semantic diagram of the Élémo project dataset.
A modular version of the developed platform is currently under de-
velopment. The aim of the new structure is to create a separate inde-
pendent plugin for each of the visualisation components, which are
implemented as independent plugins, which interact between each
other by the mean of asynchronous events. This solution would
achieve the goal of reusability and modularity. New plugins can
be developed easily for the use of different specialised scientific
investigations.
The public version of the developed GIS platform is available on-
line at: http://elemo-research.epfl.ch/demo.html.
ACKNOWLEDGEMENTS
The authors would like to thankfully acknowledge the support of
Ferring Pharmaceuticals and the Russian Federations Honorary Con-
sulate in Lausanne, as well as the devoted crew of P.P. Shirshov
Institute of Oceanography of the Russian Academy of Science for
facilitating this research.
