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Frequently Asked Questions
Table of Contents
- How do I convert the
coordinates of a file?
- Where can I find map data online?
- What is PLSS data?
- What is the description of
the BLM PLSS land survey data?
- What is "protracted" land
grid?
- Is the land survey system
in Texas as complex as they say?
- Why doesn't the map I just imported
overlay with my
other data?
- Why doesn't my DEM data line up with the hard-copy
topos that I have from the USGS?
- What is the difference
between DEM data and NED data?
- What is a DOQQ?
- What is TIGER data?
- How often are the TIGER files updated?
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There are many software packages on the market that will allow you to do
this.

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Please visit our
LINKS page for this data.

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Public Land Survey System or PLSS
This rectangular survey system is now know as the Public Land Survey System.
Under the cadastral system the public domain is plotted from a principal
meridian (running north and south) and base line (running east and west)
into a grid of squares approximately 6 miles to the side, called
"townships." The township is further divided into sections of one-mile
squares containing 640 acres. Sections are numbered 1-36 from the upper
right hand corner. The sections can be further subdivided into quarter
sections of 160 acres. The quarters can be divided into half-quarters of 80
acres or into quarter-quarter sections of 40 acres, etc. The land
description for the following parcel would be written as "NE1/4NW1/4, Sec.
14, T. 2 S., R. 3 W." |
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Diagram of
PLSS
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Abstract:
This layer is based on Geographic Coordinate Data Base (GCDB) coordinate data.
The locations of Public Land Survey System (PLSS) corners, as represented in
geographic coordinate pairs, were derived from a variety of source documents,
which include U.S. General Land Office and BLM survey plats/notes, as well as
survey data obtained from other U.S. Government agencies, private sector survey
firms, and local governments. The attributes assigned to PLSS polygons were
taken from the BLM's Legal Land Description (LLD) data set, contained within the
Legacy Rehost for the year 2000 (LR2000) automated records system. The
coordinate data was produced by using control stations of known location, with
varying degrees of accuracy, from various sources which include but are not
limited to; U.S. Geological Survey (USGS) topological quadrangles and other
sources, National Geodetic Survey (NGS) and US Coast & Geodetic Survey (USC&GS)
Cooperative Base Network (CBN) control, Federal Base Network control (FBN), and
Continuous Operating Reference Stations (CORS), and Global Positioning System
(GPS) data, which is then analyzed and adjusted in concert with official survey
data for any given geographic area. The Land Survey Information System Data Base
(LSIS) data is a useful representation of the geometry and topology of parcels
contained within the PLSS, but its application is intended for mapping purposes
only. The GCDB data served from LSIS is not a substitute for a legal land
survey.
Purpose:
The GCDB Data was created to
provide the BLM and its public with a set of geographic foundation data that
accurately portrays the locations of PLSS corners. The GCDB data is based on
the best and most current survey records available and uses known geographic
positions of control stations within the PLSS network. This data is a key
component of the Land Survey Information System (LSIS) framework upon which
parcel boundary information will be assembled.
The Land Survey Information System (LSIS) Data Base was
created to provide the BLM and its Public with
geographic foundation data from across the country. This includes the Geographic
Coordinate Data Base (GCDB). This data most accurately portrays the location of
PLSS corners. The LSI is based on the best and most current survey records
available and known geographic positions of control stations within the PLSS
network. This data will provide the framework upon which the BLM will assemble
parcel boundary information for its initial spatially referenced Land
Information System (LIS), and will be instrumental in determining where
maintenance and upgrade to the PLSS is necessary.

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Protracted areas are simply places in the US where no formal surveying has
been performed. Examples include rough terrain (mountains &
marshes), land grants, large rivers and drainage systems, indian reservations,
and much of Alaska. In these areas, a land grid must be interpolated
without employing traditional surveying techniques.

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Absolutely. Texas has seen many different governments in its
history. Each government has made its attempt at defining a system
for legally partitioning land. Although each system was different,
they are all maintained and considered in describing land. Hence we are stuck
with blocks, surveys, abstracts, subdivisions, lots, tracts, leagues, labors,
metes & bounds, townships, and sections.

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The data that you imported is probably in a different coordinate system than
the other data. Even though you use "UTM meters
NAD27," for example, if one data set is in UTM zone 14 and the other
is in UTM zone 15, these data will not overlay without some coordinate
manipulation. The same applies with the State Plane Coordinate
System (SPCS). Data in SPCS TX North coordinates will
not overlay with data in SPCS TX North Central coordinates. You also need to make sure that you are using common units (ie. meters or feet)
as well as common datums (ie. NAD27, NAD83, WGS84, etc.)

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Another good question. Your DEM, NED, and topo elevation
data may all be 1:24,000 source data sets. This generally
means that the accuracy of all 3 data sets are the same. The
complication comes from how your particular software interprets or interpolates
the point data of the DEM or NED data sets. Very rarely do 2
different software systems have the same interpolation algorithms (a complex set
of computer-based rules on how to interpret a data file) in order to
output the same contour lines. As a result, you may have
one data set that is off by 5 feet to the north, and another that is off 5 feet
to the south. Both data sets are only off by five feet, but
there is a 10 feet difference when you compare the two.

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Both data sets express, essentially, the same resolution (30X30 meter spacing
between elevation points). The main difference between the two data
sets is that DEM data is based on the USGS 7.5 minute topo quads and the NED
data is a seamless coverage of elevation coordinates for the entire U.S.
Generally, each quad of DEM data needs to be fitted to its adjacent quads in
order to eliminate the areas of no data between each quad. Please keep in
mind that when you retreive DEM data from the USGS, that it will probable be in
the SDTS format. Please visit our
LINKS page for this
data.

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DOQQ is an acronym for digital orthophoto quarter quad. This
generally references the NAPP® (national aerial photography program) aerial
photos. These photos are sold by a variety of vendors in many
formats and coordinate systems. Some are black and white photos and
some are color infrared. These files are, sometimes, very large in
size, and may very well take up most of your hard disk if you are not careful.
These files may come in a compressed format as well. For instance,
Lizardtech's MRSID® (multi-resolution seamless image database) and
ER Mapper's
ECW® (enhanced compressed wavelet) formats.

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TIGER® is an acronym for the Topologically Integrated Geographic Encoding and
Referencing (system or database). It is a digital geographic database that
automates the mapping and related geographic activities required to support the
U.S. Census Bureau's census and survey programs. The content of the TIGER
database is undergoing continuous updates and is made available to the public
through a variety of TIGER/Line® files that may be obtained free of charge from
the internet. To most of the petroleum industry, this is a mainstream
cultural (man made objects) basemap database. Please visit
our LINKS
page for this data.

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These files are updated every two years by the US Bureau of
Census. Please note that there is about a 12 month lag time before
the current data is actually released. For example, TIGER 2000
was released in 2001. Also note that because the Census Bureau
collects data from many other government sources, some data are better and more
updated than others.

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