National elevation data is extremely
useful in areas such as flood hazard mitigation, agricultural productivity,
infrastructure and energy development, resource conservation, and national
security. The National Digital Elevation
Program (NDEP) was created to meet the needs of the government and industry for
digital elevation models. The program
includes numerous federal agencies such as the USGS, the Census Bureau, and
numerous agencies within the Department of the Interior. In general, elevation data updates come for
areas every 30 years, while the technology grows at a much faster pace. At the time of this writing, the elevation
data needs of the United States were not being met, so a task force was created
to assess the potential for improving the national elevation data. The National Enhanced Elevation Assessment
(NEEA) was conducted in 2011 to assess the current needs for improved elevation
data, assess the costs and benefits of improving data, and evaluate new models.
The benefits of improved data are
many, and their significance cannot always be captured by a dollar value. For example, improved elevation data can
eliminate the need for survey crews when constructing new roads, which
eliminates deaths to survey crews that occur yearly. A larger-scale example occurred in
Washington, where improved elevation modeling helped discover a fault near the
Tacoma Narrows that led to an over $700 million bridge repair. As recently as 2014, President Obama declared
that the National Digital Elevation Program would be used as part of the
Climate Action Plan to locate which areas will be most affected by climate
change. Improved data can also be used
for siting wind farms, directing agricultural runoff, and constructing efficient
oil and water pipeline paths. The
research of the NEEA also showed that technology is at a stage of growth where
it makes sense from a cost standpoint to engage in updating the digital
elevation models.
The assessment determined that the
benefits of improving the national elevation models outweigh the costs by a
large factor. There are several
different levels of elevation data quality that can be used, however, and each
quality level comes with a corresponding level of benefits that can accrue at
each level of precision. Each quality
level except for the very highest comes with a net benefit to the US, and at
ratios greater than 4:1. Figure 1 shows
the relative image quality of the highest three quality levels, and Figure 2
shows the cost/benefit analysis of quality levels ranging from highest to
lowest levels of improvements. The
assessment ultimately led to the creation of the 3D Elevation Program (3DEP),
which is now in the process of being implemented. Federal and state agencies work together along
with others to improve the elevation using light detection and ranging (LIDAR)
and interferometic synthetic aperture data (IFSAR) which is used specifically
for data in Alaska. Data will be
collected on 8 year cycles, and annual benefits from a fully funded program
would be $690 million. The 3DEP receives
$50 million annual now, and needs an additional $96 million annually to be
fully implemented. This relatively small
investment could lead to huge savings over time, especially in case of
disasters. Improved elevation data leads
to better emergency flood mitigation plans, better preparedness for impacts of
climate change, and increased operating efficiency and capacity. Watch for annual improvements in the coming
years from 3DEP. The program’s website
is: http://nationalmap.gov/3DEP/.
Snyder, G. I. (2013). The benefits of improved national elevation data.Photogrammetric Engineering and Remote Sensing, 79(2).
No comments:
Post a Comment