How often do you find that existing records are not mapped correctly or accurately enough? Or, how many times do you ask yourself these questions:
Which asset is it?
Why is the map wrong?
How can I find it accurately if its buried?
The same old adage “rubbish in –rubbish out” applies to existing or legacy data when performing inspections and data maintenance projects. Understanding issues such as GNSS (GPS) and map error can help reconcile discrepancies and drastically improve data quality, with some basic consideration of what’s happening.
3. How often do you find that existing records
are not mapped correctly or accurately
enough?
IntroductionIntroduction
• Which asset is it?
• How can I find it accurately if its buried?
• Why is the map wrong?
6. Why is the map wrong?Why is the map wrong?
Historically, Ordnance Survey maps were produced at
different scales using different surveying methods
resulting in varying degrees of accuracy.
There are four accuracy categories.
•1:1250 scale
•1:2500 scale resurvey/reformed
•1:2500 scale overhaul. Maps originally
recompiled from pre-1946 County Series mapping
•1:10 000 scale.
Ordnance Survey describes accuracy in two ways.
•Absolute or positional accuracy.
•Relative accuracy
Source – www.gov.uk
7. Accuracy ConsiderationsAccuracy Considerations
Absolute accuracy – A measure which
indicates how closely the coordinates of a
point on a map eg. Ordnance Survey, agrees
with the true National Grid coordinates of the
same point on the ground eg. captured with
GNSS.
Relative accuracy – Relative accuracy
compares the precise distance between
features measured in the real world to the
distance between the equivalent features in
the data.
11. What is relative and absolute position?What is relative and absolute position?
Source – Ordnance Survey
12. Working with Map ErrorsWorking with Map Errors
• Always work to a minimum of map accuracy
• Network assets are predominantly mapped
• Relatively in urban areas
• Absolutely in rural areas
• Always need to be correctly shown on
the map
• High-accuracy GNSS for new data capture
• Store absolute coordinates and capture
method. Important for:
• Modelling
• Relocation
• Quality
13. Achieving Map AccuracyAchieving Map Accuracy
• Choose the right tool for the job
• Ensure Mobile GIS software is fit for
purpose
• Use up to date OS transformations
OSTN02/OSGM02
• Simple “plug and play” scalable GNSS
• Create quality flags in workflow/database
• Drive behaviour of field teams to capture
data consistently
14. Technology ConsiderationsTechnology Considerations
• GNSS (not just GPS)
• Capturing GNSS quality flags
• If not then manual methods need to be
robust (minimum 2 dimensions)
• Integrating other sensors (eg. laser
rangefinder, Cable locator)
• Real-time corrections
• Post-processing GNSS
21. About UsAbout Us
MGISS help organisations choose the right
mobile GIS solution by:
•understanding your requirements
•providing independent advice
•considering the most cost-effective approach
for you
•reducing your risk when building a business
case and
•supporting throughout the project lifecycle
How often do you find that existing records are not mapped correctly or accurately enough? Or, how many times do you ask yourself these questions:Which asset is it?Why is the map wrong?How can I find it accurately if its buried?The same old adage “rubbish in –rubbish out” applies to existing or legacy data when performing inspections and data maintenance projects. Understanding issues such as GNSS (GPS) and map error can help reconcile discrepancies and drastically improve data quality, with some basic consideration of what’s happening.
How often do you find that existing records are not mapped correctly or accurately enough? Or, how many times do you ask yourself these questions:Which asset is it?Why is the map wrong?How can I find it accurately if its buried?The same old adage “rubbish in –rubbish out” applies to existing or legacy data when performing inspections and data maintenance projects. Understanding issues such as GNSS (GPS) and map error can help reconcile discrepancies and drastically improve data quality, with some basic consideration of what’s happening.
How often do you find that existing records are not mapped correctly or accurately enough? Or, how many times do you ask yourself these questions:Which asset is it?Why is the map wrong?How can I find it accurately if its buried?The same old adage “rubbish in –rubbish out” applies to existing or legacy data when performing inspections and data maintenance projects. Understanding issues such as GNSS (GPS) and map error can help reconcile discrepancies and drastically improve data quality, with some basic consideration of what’s happening.
How often do you find that existing records are not mapped correctly or accurately enough? Or, how many times do you ask yourself these questions:Which asset is it?Why is the map wrong?How can I find it accurately if its buried?The same old adage “rubbish in –rubbish out” applies to existing or legacy data when performing inspections and data maintenance projects. Understanding issues such as GNSS (GPS) and map error can help reconcile discrepancies and drastically improve data quality, with some basic consideration of what’s happening.
An SBAS provides correction data for visible satellites. Corrections are computed from ground station observations and then uploaded to geostationary satellites. Corrections are referenced to WGS84. This data is then broadcast on the L1 frequency, and is tracked using a channel on the GNSS receiver, exactly like a GNSS satellite.
WAAS, EGNOS, and MSAS are examples of satellite-based augmentation systems.
By creating a seamless workflow and utilising smart sensors and platforms, the best combination of non-invasive and traditional measurement sensors can be built into a single solution.
Recommended Platforms (Hardware/Software)
Environmental suitability (is it fit for purpose?)
What accuracy do you REALLY need
Higher Accuracy = Higher Cost ??
Back office Integration
User Acceptance Testing (UAT)
Delivery/Implementation
Lifecycle Support