Geologists should have a strong understanding of how
elevations and contours are measured in a mine. This knowledge is crucial for
accurate topographic analysis, mine planning, and mineral reserve estimation.
Geologists need to be familiar with various surveying techniques, including
differential GPS (dGPS), total station surveys, and drone-based LiDAR surveys,
which are commonly used to determine elevations and contours in a mine.
Additionally, understanding the reference systems and geoid models used to convert
elevation data is essential for proper elevation calculations. Geologists
should also be aware of the importance of establishing permanent benchmarks for
maintaining consistent elevation references over time.
If elevation calculations are off by just one meter in a mine covering
one hectare, the resulting discrepancy can lead to a difference of 10,000 cubic
meters (equivalent to 25,000 metric tons) in the computed reserve of granite
building stone. Such an error could ultimately result in a loss of Rs.
12,00,000 in royalty payments. Suppose such mine is working illegally, then
it could result in a loss of Rs. 60,00,000 in terms of both royalty and the
value of the mineral.
The contour map of the proposed area is a critical prerequisite for
granting quarrying permits or leases. Geologists and Recongnised Qualified
Persons (RQPs) employ various methods to determine the terrain elevations.
Unfortunately, mineral administrators often overlook the specific survey
techniques used by RQPs. Some RQPs utilize differential GPS (dGPS), while
others rely on handheld GPS devices to establish latitude, longitude, and
elevation at boundary points. Alternatively, some RQPs extract elevation data
from Google Earth, while others refer to Survey of India topographic sheets for
contour map preparation. Additionally, certain RQPs establish temporary
benchmarks for carrying out contour mapping.
The situation becomes more intricate when a mining scheme is prepared by
different Recognised Qualified Persons who
employ entirely different methods to determine elevations. To gain a deeper
understanding of topography, one must familiarize themselves with various
survey techniques and the different types of elevations or heights obtained
through sources such as total station surveys, differential GPS (dGPS) surveys,
handheld GPS surveys, and other references like topographic sheets, Google Map
elevations, and SRTM data.
Elevation using GPS receiver:
It is very important to note that GPS receivers measure elevation with
respect to ‘the ellipsoid”.
What is an ellipsoid?
All elevation measurements are, in essence, the difference between the
earth’s surface and a point above or below it. But because the earth’s surface
is full of physical anomalies and is changing constantly, scientists rely on
theoretical representations — called “vertical datums” — to represent the
earth’s surface.
An “ellipsoid” is a 3D shape like a sphere, but more like an oval. The
earth is shaped like this, with the north and south poles acting as the top and
bottom points of an approximate egg. The ellipsoid is a mathematical conception
of the earth’s surface, which is referenced by GPS / GNSS receivers because it
is extremely accurate. So, when a receiver collects elevation data, it is
referenced to the ellipsoid.
However, there is a problem with ellipsoidal elevations. Although they
are very accurate, they are not practical for every day operations, such as
field work.
The issue is that the earth is not a perfect ellipsoid.
It has mountains, craters, and other features above or below the mathematically
perfect ellipsoidal reference. Therefore, GIS users must transform their
ellipsoidal data into a practical elevation reference.
Understanding
Ellipsoidal Height: Key Considerations:
·
All elevation data is based on a
defined “vertical datum”
·
A vertical
datum is a representation of the
earth’s surface (considered to be 0 meters)
·
GPS receivers measure elevation
with reference to an ellipsoid
·
Ellipsoidal data is accurate,
but not a common elevation reference
The Mean Sea Level
The vertical reference often used to represent the earth’s surface
called the “mean sea level,” or MSL. MSL is a local tidal datum that can be
used as a reference for elevation when close to the shoreline. However, once
you get more than a few kilometers inland, MSL becomes impractical. Your
GPS / GNSS receiver already outputs global MSL, because MSL is a standard for
position output.
MSL can be calculated two ways. First, it can be measured locally, by
taking data over time about the highs and lows of ocean tides (based on the
gravity of the moon, sun, earth, and other variables). And by averaging the
past 19 years of these global sea highs and lows, scientists have also been
able to create a global MSL, which GPS receivers sometimes used as a reference
for measuring elevation.
However, it’s important to note that the global MSL on your GPS receiver
is generally based on a coarse 10-minute by 10-minute grid. This can make the
global MSL elevations output by GPS receivers off by several meters.
So how can you use your GPS receiver elevations for practical
applications?
Important points:
·
Mean sea
level “MSL” is an elevation reference output
by GPS receivers
·
MSL
elevations don’t take into account local
factors
Geoid Model
The geoid is similar to, and
sometimes confused with the MSL because both are based on similar factors (such
as gravitational forces). However, the geoid is far more accurate because it is
a locally calculated geometric representation of the actual physical shape of
the earth.
A geoid model is a location-based grid that allows you to convert between ellipsoid and a national vertical datum such as NAVD88. Geoid models are country-specific.
The geoid model contains an offset value called the “geoid height” or
“geoid undulation.” The geoid height is a locally specific, constant number
that represents the vertical difference between the reference ellipsoid and the
geoid in that area. The geoid height can be positive or negative. This is the
number we must use to convert between ellipsoidal and local vertical datum
heights. These elevations are called the orthometric heights.
Orthometric height is the type of elevation data your surveyors,
engineers, and other field workers need to work practically and accurately.
Ellipsoid to Geoid conversion
Because geoid height is a mathematical offset between the ellipsoid and
the geoid, it can be used to translate elevation data from one vertical
reference to another. This means the geoid height provides the key to unlocking
your GPS receiver’s accurate elevation data.
For most surveyors, GIS users, and others, they will want to convert the
ellipsoidal data into an elevation measurement called the “orthometric height.”
Important points:
·
The vertical datum is
an accurate physical representation of the earth’s surface
·
A geoid model is
a locally defined grid that allows conversion from ellipsoidal to orthometric
heights
·
A geoid height is
a number within the geoid model that enables this conversion
·
The orthometric
height is the practical elevation that tries to describe the heights
of points on the earth’s surface
Calculating orthometric height from ellipsoidal data with the geoid height
How do we use geoid height to calculate orthometric elevation? We’ll use this formula:
H = h – N
The three variables represent terms we’ve already defined. Here is what
they stand for and where they come from:
Variable: |
Represents: |
What it is: |
H |
Orthometric Height |
This is the elevation our surveyors and field workers need |
h |
Ellipsoidal Height |
This is the elevation above or below the reference ellipsoid from our
GPS receiver |
N |
Geoid Height / Undulation |
This is the offset between the geoid and ellipsoid references; we find
N in the geoid model used |
Important points
·
The formula for calculating
orthometric height is “H = h – N”
·
You need the geoid and
ellipsoidal heights to perform this conversion
Understanding Elevations from
Different Sources: Toposheets vs. Google Maps”
Toposheet Elevation:
The Survey of India’s toposheets
provide elevation information in meters above or below mean sea level (MSL).
The MSL reference adopted by the
Survey of India is based on Bombay height (Mumbai).
It’s important to note that mean
sea level can vary along different coasts. For instance, there is a 30 cm
difference in MSL between Mumbai and Vishakapatnam.
Contour values printed on
toposheets represent elevations relative to mean sea level.
Google Map Elevation Data:
Many people now rely on Google
Map elevation data. In Google Earth, elevation is displayed when you hover the
mouse over a location. However, Google does not disclose the specific source of
this elevation data. It is presumed that Google uses various digital elevation
models (DEMs) generated from different sources. A closer examination of data
reveals that in Kerala, there is a consistent difference of approximately 19 to
20 meters between elevation points on toposheets and Google Maps.
SRTM elevation data:
The Shuttle Radar Topography Mission (SRTM)
collected elevation data on a near-global scale, resulting in the most
comprehensive high-resolution digital topographic database of Earth. SRTM
utilized a specially modified radar system aboard the Space Shuttle Endeavour
during an 11-day mission in February 2000. This international project was
jointly led by the National Geospatial-Intelligence Agency (NGA) and the
National Aeronautics and Space Administration (NASA).
Key points about SRTM data include:
- Resolution:
- The
highest-quality SRTM data has a resolution of 30 meters. This means that
each elevation reading corresponds to a 30x30 meter area of land.
- Consequently,
changes in elevation within a 30-meter radius are not captured by SRTM
data.
- Temporal Considerations:
- SRTM
data specifically represents conditions as of the year 2000.
- If a
mine was operational before 2000, the pits from that period will be
accurately reflected in the SRTM data.
- However,
any pits formed after 2000 will not be visible in the SRTM dataset.
- Geoid Reference:
- SRTM
data benefits from using the EGM96 geoid model, which closely
approximates mean sea level elevations depicted in the Survey of India’s
toposheets.
In summary, while SRTM provides valuable elevation
information, users should be aware of its limitations and consider other data
sources for more recent or localized details.
GPS elevation data:
Elevations collected during dGPS surveys are typically
provided as ellipsoidal heights. However, dGPS can also yield orthometric heights by referencing a specific geoid model. In
India, the commonly used geoid model for GNSS (Global Navigation Satellite
System) applications is IndGG-SH2021. It’s crucial to select the appropriate geoid
model to ensure accurate height determination in GNSS applications,
particularly when converting ellipsoidal heights to meaningful orthometric
heights.
Setting up of permanent bench mark with arbitrary elevation
A benchmark serves as a fixed,
precisely known reference point used in surveying to establish and maintain
height (elevation) measurements. These benchmarks play a crucial role in
ensuring consistent vertical references across various surveys and projects.
When conducting topographic surveys, geospatial professionals often begin by
fixing a known point as a benchmark. For instance, assigning an elevation of
100 meters above mean sea level (MSL) to a benchmark provides a reliable
starting point. Using this benchmark, elevation differences across the terrain
can be measured, leading to the creation of contour maps that are valuable for
calculating mineral reserves.
To maintain consistency, a
durable structure (often made of concrete) can be established at the benchmark
location. This structure includes latitude, longitude, and an arbitrary
elevation etched /painted onto it. The coordinate and elevation details of this
benchmark must be documented in the mining plan for future reference.
Additionally, assigning the benchmark’s elevation using Shuttle Radar
Topography Mission (SRTM) data ensures reliability and consistency. SRTM
provides global elevation data with a resolution of 30 meters, allowing users
to verify the accuracy of their benchmarks and make informed decisions in
various applications.
Drone-based LiDAR (Light Detection and Ranging)
surveys offer a powerful method for capturing elevation data across the Earth’s
surface. Widely used in mine surveys, this technology provides precise
measurements for each point on the ground. Here are the key considerations:
LiDAR-equipped drones emit laser pulses and measure the time it takes
for the reflected signal to return. By analyzing these return times, LiDAR
creates detailed 3D point clouds representing the terrain. To ensure accuracy,
ground control points (GCPs) are essential. These fixed reference points have
accurately known coordinates (both horizontal x-y and vertical z). GCPs help
align LiDAR data with real-world coordinates, improving the precision of
elevation measurements. LiDAR surveys benefit mine planning, volumetric
calculations, and environmental assessments. Establishing a consistent
benchmark or permanent GCP ensures uniform elevation references. Regular
maintenance of these benchmarks is crucial throughout the mine’s lifespan.
In summary, drone-based LiDAR surveys offer
unparalleled accuracy for terrain mapping, making them indispensable tools in
modern mining operations.
The assessment of mine elevations is a legal
requirement before a mine begins operations and at five-year intervals
thereafter, as stipulated by mineral rules. Documents such as mining plans,
scheme of mining, and final mine closure plans include contour maps
representing the mine’s topography at various stages. Geologists heavily rely
on these contour maps and spot heights to calculate the volume of minerals
extracted. However, a significant challenge arises due to varying base
elevation values used by different Resource Quality Planners (RQPs).
Consider the following best practices for mine
elevation measurement:
- dGPS Survey with Accurate Geoid Model:
- Conduct
a differential GPS (dGPS) survey, ensuring accurate geoid modelling (IndGG-SH2021).
- The
dGPS-based coordinates and elevation values of boundary pillars should be
precisely fixed and marked.
- Permanent Benchmark Establishment:
- Erect
a permanent benchmark outside the mining area.
- This
benchmark should have well-defined coordinates and a meticulously
computed elevation value.
- Throughout
the mine’s lifespan, maintain this benchmark to ensure consistent
elevation references.
- Total Station Survey for Further
Measurements:
- For
subsequent measurements (such as scheme of mining or final mine closure
plans), use the permanent benchmark as the reference level.
- Total
station surveys suffice for these purposes, maintaining consistency
across all assessments.
- Alternative Approach without dGPS:
- If
dGPS is unavailable, consider the following:
- Identify
a known point (preferably with similar elevation characteristics) within
a 30 m x 30 m area.
- Obtain
the Shuttle Radar Topography Mission (SRTM) elevation value for this
point.
- Establish
a permanent benchmark and conduct total station surveys to determine
area levels relative to this benchmark.
By adopting standardized procedures and leveraging
available technologies, geologists can achieve reliable and consistent
elevation assessments for mining operations.
Recommendations:
1.
Before scrutinizing the plans
and sections of a mine, the geologist should be aware of the methods used for
the survey as well as the way elevation is taken. There shall be specific
mention in mining plan regarding the type of survey carried out, equipment
used, the how the elevation values are obtained and the level of accuracy.
2.
The geologist, while visiting
the mine site for inspection of mining plan, may instruct the mine owner to fix
one permanent bench mark with latitude, longitude and elevation written on the
same based on the survey conducted for the preparation of plans and sections.
The bench mark shall be fixed outside lease area.
3.
While processing the scheme of
mining, care should be taken to ensure that the elevations have a common
reference with respect to the benchmark established.
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