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 
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Figure 6: Main components of the current implementation of the Élémo project data browser: (a) Google maps-based two-dimensional 
interactive map; (b) visualisation key; (c) timeline with depth versus time dive profile; (d) observation entry/editing form; (e) search form; 
(f) field campaign dive calendar; (g) mission information (h) navigation data; (i) video log; (j) master environmental variables (temperature, 
salinity and oxygen); (k) sample information (sediment analysis courtesy of Corella et al.). 
  
b) Visualisation Key — A detailed description of the various visu- 
alisation elements across multiple visualisation panels, in particular 
the main map and the timeline chart depicted in Figure 6(a) and (c), 
respectively. In addition to its role of legend, the key panel facil- 
itates control over visibility of the various visualisation elements. 
For example, the visibility of the various types of discrete sample 
may be toggled by clicking on the corresponding marker in the leg- 
end. Furthermore, the legend provides a mechanism for controlling 
the visibility of map overlays and sensor data visualisations. For 
instance, the map depicted in Figure 6(b) combines the basic Ter- 
rain model of Google maps with the bathymetry data provided by 
the SwissTopo National map (www.swisstopo.ch), as well as the 
high-resolution bathymetry data (Sastre et al. 2010). 
c) Timeline — A profile of depth of each submarine during the time 
span of the dive was created to complete the missing dimension 
of mapping. This plot depicts the depth of the submarine and of 
the bottom of the lake versus the time sequence of the dive. Sam- 
ples and observations are also represented. Synchronisation mech- 
anisms link real-time hovering of these plots with others visualisa- 
tions tools (like position of the map and sensory data). 
d) Observation form — The observation form facilitates collabo- 
rative analysis of the available video logs. In particular the clas- 
sification of the various types of lake floor morphology is carried 
out by systematic review of the video logs and the periodic addi- 
tion of observations whenever a reliable classification of the floor 
morphology on the video frame is possible. 
e) Search - The search feature consists of a simple input text box 
and a retractable area for text results. The search is performed 
through observations and samples, but it is theoretically extendible 
to any kind of data. The use of jQuery library and the logic of in- 
cluding searchable visualisable data in the Document Object Model 
(DOM) structure, allow for a markedly fast live search. Once search 
results are retrieved, the plugin displays the results on the list and 
triggers a highlight event. The map feature listens to this event and 
displays only markers related to search results. As an example of 
the usage of this feature, the Search plugin allows to visualise in 
one click all instances where wrecks have been observed in videos, 
indicating the dive trajectory and displaying wrecks on the map of 
the Lake. 
f) Calendar - The calendar component depicted in Figure 6(e) fa- 
cilitates fast access to data collected on any particular date of the 
field campaign. The dates on the calendar are colour-coded accord- 
ing to one of the three regions of interest (Vidy Bay, Rhone Delta 
and Deep Lake) investigated on that day. The calendar component 
provides an intuitive interaction with the browser through standard 
mouse gestures, such as “mouseover” and “click”. For example the 
“mouseover” results in the corresponding trajectories on the main 
map to be highlighted, as well as the corresponding mission infor- 
mation to be displayed in the “mission information” component of 
the data browser UI. 
g) Mission Information — The mission-specific information in- 
cluding the names of the pilot and the scientists on board, as well as 
the list of operating instruments and the number of collected sam- 
ples is displayed in the corresponding panel of the data browser. 
The mission information is updated whenever a new trajectory is 
selected using the “mouseover”, or “click” mouse gestures. 
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