Full text: Proceedings, XXth congress (Part 2)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXX V, Part B2. Istanbul 2004 
however, the imagery was to be used for a number of different 
processes, the economies of scale may be enough to j ustity its 
use. 
3.2 Map Currency Audit 
Each year. the UK Government defines a set of “Agency 
Performance Monitors", by which to measure the performance 
of Ordnance Survey. These performance targets include the 
following: 
* to ensure that a minimum of 99.6% of significant 
real-world features (Category A) are represented in 
the database within six months of their completion; 
*  ioensure that there is an average of no more than 0.6 
standard units of un-surveyed major change over 6 
months old, per standard map unit. 
Note that the standard unit of change is the *house unit”, which 
traditionally represented the amount of change observed on the 
building of a new house. The unit has now been formalized to 
encompass many other types of change. Some examples of 
house unit values arc: 
* New houses and associated features, including 
boundary features, name/number and associated 
garages = 1.25 units per house. 
+ New commercial, industrial, public sector and farm 
developments with buildings and associated features 
= 20 units per ha 
e New single carriageway roads, railways ( per pair of 
tracks) and canals, including associated paths, fences 
and boundary features = 5 units per 100 m 
Also note that the standard map unit depends on the scale at 
which the data are captured. The unit equals 25 square km in 
mountain and moorland (1:10 000 scale), one square km in 
rural (1:2500 scale), and 0.25 square km in urban (1:1250 
scale) areas. 
A Quality Assurance (QA) team within Ordnance Survey is 
responsible for monitoring these values and ensuring that the 
Agency is meeting the requirements. In order to do this, a 
sample of 4000 map units are randomly selected every six 
months. The areas covered by these maps are then visited by 
field surveyors in the QA team and examined for any features 
more than 6 months old, which are not on the map. 
Panchromatic and  pan-sharpened QuickBird images of 
Cambridge (rural) and Manchester (urban) were used to test 
whether the quality monitoring process could be successfully 
augmented using satellite sensor imagery. The images were 
examined and compared with the current large scale mapping 
data. Any features identified in the image which were not on 
the map were recorded. The results were then compared with 
quality audits performed using traditional field verification 
techniques. 
3.2.1 Results of Map Currency Audit 
The QA team found that QuickBird imagery could be used to 
identify changes, and thus aid in the assessment of the map 
currency. In several cases changes were detected in the image 
which were not detected on the ground; and in other cases the 
converse was found. The general findings of the research are as 
follows: 
750 
Advantages of Using QuickBird: 
* major shapes of all buildings can be identified; 
* demolitions are casy to detect; 
* small industrial buildings are easy to identify; 
* QuickBird imagery is useful in areas where access is 
restricted; 
® the imagery provides wide-area coverage and fre- 
quent repeatability ; 
e the imagery provides a time-stamped snap-shot of the 
currency on the ground. 
Disadvantages of Using QuickBird: 
* QuickBird imagery can’t be used to identify whether 
change is permanent or temporary; 
the age of changed features cannot be identified; 
* the Category of the change ( A or B), is difficult to 
determine, especially for urban areas; 
® drive restriction features are difficult to identify (e.g. 
speed bumps and posts); 
* — high-rise buildings are difficult to determine in the 
images, and any overthrow makes it difficult to iden- 
tify if any change has occurred; 
* complex shapes and multilevel structures are very dif- 
ficult to see clearly; 
* image resolution is often not high enough to differen- 
tiate between building extensions and separate new 
buildings; 
e all small linear features are difficult to see (e.g. 
fences, paths, railway lines or field boundaries). 
The map currency audit must also identify any cultural or 
thematic changes, such as changes of use or changes in names 
of features. These of course cannot be obtained from imagery. 
As in the change detection example, the results show that 
QuickBird imagery can be used in the map currency audit 
process, but it cannot be used alone. Additional information is 
required which can only be obtained by a field visit to the sites 
under investigation. 
4. CONCLUSIONS 
The results described in this paper have indicated that 
QuickBird Imagery can play a role in all the processes 
investigated. 
Imagery of this resolution can be used to update mid-scale 
maps (1:6 000 to 1:10 000 scale) as long as small linear features 
are excluded from the mapping specification. This imagery can 
also be used in the detection of change, and in the quality 
checking of existing map data. However, in each case there are 
disadvantages, which indicate that QuickBird imagery should 
be used in a supplementary way, rather than as the main source 
of data. For example, QuickBird could be used to obtain 
frequent snapshots of rapidly changing urban areas, enabling 
change to be detected more readily than is possible by other 
methods. 
S. REFERENCES 
European Space Imaging, 2003, “Flanders Chooses IKONOS”, 
press release, 
htip/www.euspaceimaging.com/content/Downloads/news/15- 
july-2003.pdf (Accessed 28th April 2004) 
Internatic 
Holland, 
Topograr 
OFEPE 
Holland, 
Imagery i 
ISPRS/E; 
Mapping 
http://www 
hannover 
(accessed 
Kumar, ^ 
Imagery 1 
Mandevil 
March/Aj 
http//ww 
28th Apri 
Petrie, G. 
Monitorir 
January/? 
Ridley, H 
Dowman, 
commerci 
Ordnance 
Sensing, €
	        
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