Surveying and Land
Information Science
vol. 65, no. 1, 2005
What Does Height Really Mean? Part
II: Physics and Gravity
Thomas H. Meyer, Daniel R. Roman,
and David B. Zilkoski
This is the
second paper in a four-part series considering the fundamental question, “what
does the word height really mean?” The first paper in this series explained
that a change in National Geodetic Survey’s policy, coupled with the modern
realities of GPS surveying, have essentially forced practicing surveyors to
come to grips with the myriad of height definitions that previously were the
sole concern of geodesists. The distinctions between local and equipotential ellipsoids were considered, along with an
introduction to mean sea level. This paper brings these ideas forward by
explaining mean sea level and, more importantly, the geoid.
The discussion is grounded in physics from which gravitational force and
potential energy will be considered, leading to a simple derivation of the
shape of the Earth’s gravity field. This lays the foundation for a simplistic
model of the geoid near Mt. Everest, which will be
used to explain the undulations in the geoid across
the entire Earth. The terms geoid, plumb line,
potential, equipotential surface, geopotential
number, and mean sea level will be explained, including a discussion of why
mean sea level is not everywhere the same height; why it is not a level surface.
Analysis of the Design Parameters of
Multi-Reference Station RTK GPS Networks
Ahmed El-Mowafy
In this
study, the main design parameters of multi-reference station RTK-GPS networks
have been analyzed, and their impact on the achieved positioning performance
and phase ambiguity resolution is discussed. The main parameters considered
are: the distance separating reference stations, network configuration,
communication between the computing center and the user, and network algorithm.
A number of tests have been conducted in a case study utilizing the Dubai
Virtual Reference Network System (DVRS) in the United Arab Emirates. First, the
real-time performance of the existing network was assessed. Next, the
performance of the network was evaluated in a post-mission processing after
making changes to its design, addressing the above parameters, by adding data
from three auxiliary reference stations. Different network configurations were
examined, consisting of variable combinations of the DVRS and the auxiliary
stations. In addition, positioning results of two network algorithms (FKP/VRS
and the Multiref methods) were compared. Finally,
recommendations concerning the selection of baseline lengths, network
architecture and station redundancy have been given.
Delaunay Triangulation Structured Kriging for Surface
Interpolation
Yaron A. Felus, Alan Saalfeld,
and Burkhard Schaffrin
Surface
interpolation is an essential tool in surveying and geographical information
systems projects. For example, given a list of observations (e.g. elevations,
gravity or magnetic field values, and underground-water levels), a prediction
of a value at an unobserved location is made.
Surveyors and engineers commonly use Triangulated Irregular Network
(TIN) based linear interpolation for surface interpolation. TIN interpolation
is computationally very efficient, utilizing a Delaunay
triangulation algorithm and simple mathematical function. However, the TIN
method uses only three local data points. Therefore, it is often less accurate
and will yield a higher Mean Square Prediction Error (MSPE). Kriging is a relatively new, accurate interpolation method
which yields a smaller Mean Square Prediction Error (MSPE). Nevertheless, kriging is computationally inefficient and requires the
inversion of an n n matrix where n is the number of data points. A
unique approach is presented here that combines these two techniques such that
the Delaunay triangulation data-structure is used to
determine the interpolation neighborhood of a kriging
prediction process. The new TIN-based kriging
algorithm is used to interpolate aeromagnetic data for a geographical
information system developed in West Antarctica. A comparison is made between
global kriging, TIN linear interpolation, and the
TIN-structured kriging.
KEYWORDS:
Kriging, Delaunay
triangulation, interpolation, aeromagnetic data
Development of Pattern Recognition
Algorithm for Automatic Bird Detection from Unmanned Aerial Vehicle Imagery
Amr Abd-Elrahman, Leonard Pearlstine, and
Franklin Percival
In this
study a multi-stage pattern recognition algorithm was developed to identify
individual birds using images captured by a small unmanned aerial vehicle (UAV)
equipped with a progressive scan video recorder. The developed algorithm
utilizes correlation matching in addition to spectral characteristics of
photographed birds. Individual images of flights over a wildlife management
area and an agricultural area in southern Florida were tested. Omission and
commission errors were mostly less than 20 percent in tested images and
frequently less than 10 percent. Further efforts to develop the algorithms and
automatically determine the thresholds used in the algorithm are suggested. A
visual C++ Graphical User Interface (GUI) was developed to facilitate the implementation
and use of the developed algorithm.
Establishment of National Grid Based
on Permanent GPS Stations in Israel
G. Steinberg and G. Even-Tzur
The
ultimate goal of the Survey of Israel (SOI) is to be capable of restoring and
defining cadastral boundaries in Israel with an accuracy of 5 cm, at a 95
percent confidence level. In order to achieve this goal, we should be able to
measure accurate and reliable horizontal control points and define their
rectangular coordinates. Measuring new control points at this accuracy in a
homogeneous network can be done by using GPS techniques underpinned by
reliable, permanent GPS reference stations. However, integrating measurements
performed during the last decade in classical networks (which were
characterized by lower accuracy levels) with measurements based on permanent
GPS reference stations poses a problem. The Israeli Geodetic Control Network
will be based on an array of permanent GPS reference stations. A new datum,
called ILGD05 (Israeli Geodetic Datum 2005), was defined for these stations.
The transformation of geographic coordinates in ILGD05 to an improved national
grid was adopted in a manner that would minimize changes in the existing
rectangular coordinates values. This paper describes how the Survey of Israel
met the demands and capabilities of the innovative technology. Following a more
detailed description of the problems, we discuss the options for improving
geodetic control, as well as the reasons for the decisions that were made. The
paper suggests a strategy for the implementation of the proposed change in
Israel, which will lead us into a new era in geodesy and surveying.