LiDAR’s relevance to Asia's economic growth
David Jonas
LiDAR Specialist, AAMHatch,Australia
d.jonas@aamhatch.com

Light Detection and Ranging (LiDAR) is a broad-acre mapping tool which has been widely adopted throughout North America and
Europe, but what contribution can it make in Asia ?
The Asian region offers a completely
different landscape in terms of weather,
vegetation, funding, aviation support,
security concerns and engineering
practices. Asia's economic growth will
require significant amounts of spatial
data acquisition to support the infrastructure
development and land-use
management required, but can the
LiDAR business and technical models
employed elsewhere simply be transported
to the Asian region ?
AERIAL SURVEY LANDSCAPE
LiDAR is a proven survey technique. It
does not do everything, but it is a valuable
tool to have in the surveyor's tool
box. However, any business and any
project must operate in the local landscape
available to it. As a rule, LiDAR
providers in the US and Europe have
access to a substantial General Aviation
industry, detailed survey infrastructure,
and a mature LiDAR consumer.
Much of this infrastructure does
not exist in Asia, and must be created
by the LiDAR provider, often on a project-
by-project basis.
LiDAR's viability will be reviewed
through six factors: weather, vegetation,
funding, aviation support, security
concerns and engineering practices.
1. WEATHER
Asian weather is characterised by low
cloud base, significant wet seasons, and
atmospheric haze.
The low and persistent cloud base,
particularly in tropical regions, is the
single most dominant feature when
planning, pricing and conducting a
LiDAR survey. The cloud base precludes
large parts of the region from benefiting
from some of the recent sensor
improvements. Modern LiDAR sensors
can now fly at over 3000m and achieve
vertical accuracies and point spacings
obtained from 800m when the technology
was first commercialised. These
increased flying heights offer 3X efficiency
savings in data collection. However
it is simply unwise to plan and
cost a survey based on high altitudes if
the chances of getting sky-clear conditions
are remote.
Hence a Low Cloud Base prevents
tropical projects getting the benefits
from the improvements in LiDAR quality
from higher altitude.
Of course, cloud base is not a fixed
parameter when designing a LiDAR
survey in Asia. The various monsoons
or wet seasons will change the prevailing
weather conditions during the year.
Hence the timing of the survey can be a
strong determinant in project costing
in Asian regions. A survey requiring
eight hours data capture may take the
survey aircraft 4 days in the flying-season,
but 4 weeks in the off-season.
There will possibly be areas within
the project which cannot be captured
by LiDAR unless significant standby
times (and fees) are allocated. Experience
shows that there is often a mountain
range which is "always" covered in
cloud, and the survey aircraft has to
work around this area to capture the
balance of the project. LiDAR surveys in
tropical Asia need to recognise this and
decide whether a reliable terrain model
over the majority of the area provides
value to the overall project. The risk of
standby charges can be reduced if the
survey is planned for the optimal time
of the year.
The third atmospheric factor prevalent
in Asia is haze. The good news here
is that, generally speaking, the top-end
LiDAR sensors are strong enough to
penetrate through most haze conditions.
The only notable exception experienced
by the author is when the survey
area is in the vicinity of billowing
smoke, which the laser is not able to
penetrate. What is more a concern with
heavy haze is that the airport may be
closed, precluding the survey aircraft
from taking off. Asia's long periods of
persistent cloud mean that it will generally
take longer to define a certain
sized area when compared to other
parts of the world, but LiDAR still
remains the most cost-efficient survey
technique capable of achieving 0.15m
accuracies and definition of the terrain
under vegetation.
2. VEGETATION
The comment is often made: "LiDAR is
okay in Europe, but we have dense
Asian jungles so it won't work here" …
the comment is certainly valid but the
conclusion is not. Parts of Asia are covered
with dense tropical canopies, thick
undergrowth, or both that do detract
from quality of a LiDAR survey.
The LiDAR's perspective is essentially
vertical, so a true assessment of the
likely LiDAR vegetation penetration is
to walk into the jungle and look directly
up. One will see that there is significantly
more sky visible looking straight
up, than at even 15° off-zenith. Not surprisingly,
not many people look
straight up when walking in forests …
only aerial surveyors, perhaps !
The most dense vegetation the author
has been involved with was at Lihir
Island, PNG (ref: www.aamhatch.
com.au/resources/pdf/publications/ne
ws/ScanHoriz082004.pdf). In this primary
tropical forest, a walk through
the site was quite dark. Looking
straight up revealed very few gaps in
the overhead canopy. Analysing the
LiDAR data afterwards showed that
only 7% of the emitted LiDAR measurements
reached the ground. Given the
aircraft speed, this was not going to
give the required terrain definition, so
the site was flown three times.
Dense vegetation does affect the quality
of the terrain model acquired by
LiDAR. The fact remains though that, in
densely vegetated areas, LiDAR
remains the most efficient survey technology
available. The fact that Asia has
more dense vegetation than elsewhere
actually strengths the case for its use in
this region.
3. FUNDING AND MAXIMISING PROJECT OUTCOMES
LiDAR has had to change the funding
models for survey data in Asia on two
fronts. Firstly, Asian projects are used to
paying lump sum fees for their survey
work. Whilst that can be accommodated,
it is not a reflection of true costs and
so can lead to inequities. The time (and
so cost) of an aerial survey in Asia can
be so dependant on weather, that Rates
Based or Lump Sum plus variation can
provide more equitable funding. This
represents a deviation from accepted
practices, and many Asian Project Managers
are uncomfortable with this
approach for the survey component,
even though it is norm for many other
aspects of same engineering project.
Secondly and simply, LiDAR generally
costs more than many applications
used for survey data for the project.
Before LiDAR,
infrastructure corridors were planned on sketchy existing topo maps,
flood studies conducted on occasional river cross-sections,
infrastructure planned on sparse field work,
forestry managers used topo maps for slope analysis,
electricity companies sited transmission towers with visual helicopter inspection,
telco cell networks designed on approximate building footprints,
landslips managed with discrete monitoring stations, and
earthworks designed on a few field spot heights.
In each case, the survey represented a
tiny percentage of the overall project
budget. Now along comes LiDAR to provide
significantly better information on
which the engineers can base their
work. By accurately knowing the true
shape of the ground under the trees,
and the detailed height of the buildings
and trees:
infrastructure corridor routes can be optimised at design stage;
flood studies can better find the river breaks and overland flow characteristics;
infrastructure designed knowing there will be no "on site" surprises;
forestry inventory showing exact slope maps and tree heights of their estates;
electricity distribution towers are sited knowing ground shape and tree clearances;
telco cell networks design with the exact size and shape of every building;
landslips mitigation plans can use a complete drainage plan and slope map; and
earthworks volumes significantly improved.
In each case, better
quality engineering or
management decisions
are made as they are
based on better initial
information. This
improved spatial data
can cost more, but any investment in
LiDAR is easily recouped by the project
with just one less suburb flooded, a 1%
reduction in earthworks required, one
less tower placed, or 5% reduction in the
risk profile knowing that designs are
based on reliable site data.
Increased accountability for project
outcomes demands a more proactive
understanding and long-term
mitigation of terrain-controlled influences,
whether for road design, flood
and landslide hazard mitigation, or
coastal risk profile. Project Managers in
Asia are coming to terms with the fact
that better initial survey data may cost
more up front, but improved decisions
downstream will recoup this investment
for the project many times over.