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NCRST-E PROJECTS
Land Use/Land Change in an Urban Environment (Global Hydrology and Climate Center)
Land Use/Land Change in a Coastal Environment (Mississippi State University)
North Carolina Wetlands Assessment
Iowa Wetlands Assessment
Corridor Assessment and Planning
Geospatial Information for Corridor Assessment and Planning
Air Quality (University of Mississippi)
Technology Application Projects
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The objective of this project is to apply remote sensing technology to estimate surface
properties and classify land use and land cover change at multiple spatial
resolutions to determine growth trends in response to, and environmental
and socioeconomic effects of, transportation development.
Demonstration Phase (Years 1-2):
Analysis Phase - Regional Scale (Years 3-4):
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As part of this project a unified Land Use/Land Cover (LULC) product will
be developed for the selected study area. Especially significant in this
project will be the assessment of inland and coastal waterways. Baseline
data will be developed for existing highways corridors in these study
areas. Existing land use/land cover, land use and cover change, and
environmental impacts determined in baseline studies will be provided to
the extent possible as inputs into growth forecasts to predict future
environmental impacts for existing and proposed transportation corridors.
Results will also be used to evaluate the accuracy of existing
Environmental Impact Statements (EIS). Major objectives are the
development of techniques to utilize remote sensing imagery to produce
more detailed land use/land cover classifications to mitigate the need for
the use of secondary data sources to any significant degree, especially on
regional and corridor scales. Also, to demonstrate new uses for remote
sensing imagery in planning and evaluating transportation corridors
according to NEPA guidelines.
The objectives and related approaches are:
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Recent advances in remote sensing technologies provide high-resolution hyperspectral imagery which can be used to identify individual plant species as well as high-resolution elevation data products that can be used to provide improved understanding of the topography and hydrology of the area. Additionally, the availability of digital soils data from U.S. Department of Agriculture, Natural Resource Conservation Service (NRCS) county soil surveys (SSURGO datasets) to supplement the enhanced image and elevation data sets provide an opportunity to conduct advanced data fusion, classification and synthesis for wetlands analysis, assessment, and mapping at early stages of project planning. For an area in Randolph County, North Carolina, EarthData Technologies collected high-resolution hyperspectral image data and high resolution LIDAR data. The data were collected as part of a U.S DOT Research Special Projects Administration (RSPA) Technology Application Project (TAP) with funding and support also provided by North Carolina Department of Transportation (NC DOT). The study area location was between Asheboro and High Point, North Carolina in the Deep River watershed. The data were evaluated by highway engineers for use in preliminary roadway design, and the data were assessed by environmental analysts to determine their utility for the preliminary identification of areas that have a high likelihood of being wetlands. NCRST-E was tasked with developing geospatial analysis processing methods to identify areas with a high likelihood of containing wetlands.
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Similar to the North Carolina wetlands project, NCRST-E is assisting the Iowa
DOT to collect and analyze remote sensing data to identify
areas that have a high likelihood of being wetlands.
Multiple hyperspectral image data collections were flown and LIDAR elevation
data were collected for a study area in the vicinity of Eddyville, Iowa. The
results of this effort will be used along with the results of the North
Carolina effort to document the use of these new high-resolution data types to
assist in wetlands assessment efforts.
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NCRST-E is developing efforts with various Federal and State agencies to use
remote sensing and geospatial technologies for Corridor Assessment and
planning. To formulate research directions in this area, the consortium
organized a workshop on "Geospatial Information for Corridor Assessment and
Planning" (GICAP 2002).
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Mississippi State University and NCRST-E are working together to develop a
digital library for using remote sensing and geospatial information to create
custom map products to support core research capabilities such as corridor
assessment and planning. The Computational Geospatial Technologies Center (CGTC)
at Mississippi State University (MSU) has entered into a strategic partnership
with ImageLinks of Melbourne, Fla. As part of this agreement, CGTC has
purchased ImageLinks RasterWare Appliances technology to serve as the spatial
data processing engine in MSU’s Geospatial Library.
The CGTC, which is part of the MSU Engineering Research Center (ERC), is developing the Geospatial Library in collaboration with the MSU Remote Sensing Technologies Center (RSTC) as an online spatial data archiving, access and distribution system. The Geospatial Library will be a web-based source of remote sensing and geographic information for geospatial research and to support federal agencies and related organizations in conducting natural resource, transportation planning and environmental assessment programs. "The Geospatial Library will provide researchers and federal organizations access to remote sensing data, maps, and spatial information required to assess the human and natural environment and to plan transportation and infrastructure development projects," said Dr. Chuck O’Hara, Associate Research Professor at MSU. "In addition, users may feed new geospatial data back into the library during projects for access by the public and other organizations.
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It is important to study and quantify the effects of traffic type and
volume, traffic gridlock, and urban growth on air quality by studying
rural to heavily populated urban areas. The research plan for air
pollution study and transportation related emission modeling over four
years is primarily focused on traffic characteristics, emission, climatic
parameters and other significant urban/rural/socio-economic issues that
may influence the air quality models. Both roadways and remote sensing
studies will be conducted. Weather conditions will also be collected at
the same time or obtained from nearby NOAA record sites. An experiment
design will be developed to select sampling sites ranging from rural to
heavily urban areas. Other factors associated with congestion, commuter
traffic and driving distances will be considered.
One potential rural area and low traffic site is located in Oxford,
Mississippi. Three major state highways and Interstate I-55 (about 24
miles to the west) surround this site. The University of Mississippi is
assisting the City of Oxford for the deployment of an Intelligent
Transportation System (ITS) using a US DOT grant. An important part of
this GIS project is an airborne laser and photo mapping of the entire city
and development of a comprehensive digital terrain model and GIS. This
will provide ideal digital data for evaluation of space imaging data and
serves as a good example of leveraging existing research funds on NCRST-E
funded projects.
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Technology Application Projects
The longer-term research efforts of NCRST-E are linked to
technology application projects (TAPs) conducted by service providers and
transportation agencies. The TAPs demonstrate how information products derived
from remote sensing and related technology can be used by transportation
professionals in their engineering and decision-making workflows. NCRST-E TAPs
are listed briefly below:
ICF Consulting worked closely with the Virginia Department of Transportation (VDOT) on a 4 mile road project environmental assessment. ICF used high spatial resolution multispectral satellite data as a complement to field data to detect and map environmental features for the project. The project location was in an environmentally sensitive area in the coastal plains adjacent to a marine estuary. The study compared the results of remote sensing analysis with field environmental data and assessments and provided guidance to VDOT on using remote sensing data and image processing techniques in the environmental assessment process and for environmental reviews. Using Landsat and Ikonos satellite image data, ICF demonstrated the effective use of satellite image products to identify natural and human environmental features. The classification of Ikonos image data provided accuracy of almost 88% in the study area, an improvement over the accuracy of 75% typical of classified Landsat image data. The results of the study show that it is possible to use remotely sensed data to detect environmental feature, but this information should be used as a supplement to appropriate field work conducted to detect all of the features required under NEPA guidelines.
EarthData International, in partnership with the North Carolina Department of Transportation, employed airborne remote sensing technologies to create high-resolution planimetric and topographic mapping products. The spatial accuracy of these products was verified by NCDOT photogrammetrists. NCDOT design engineers utilized the data to create roadway designs. Wetlands field surveys, performed to NCDOT and USACE standards, were used to verify the results of wetlands classification performed with digital hyperspectral imagery. The EarthData project demonstrates that high-resolution, high-accuracy data can be acquired over large project areas, and such data are suitable for the evaluation of multiple alternative corridors in the NEPA permitting process. The data produced included high-resolution terrain data, wetlands data, and ortho-rectified photography. The technologies employed by EarthData show how the early collection of data and the generation of necessary information products can accelerate transportation engineering and decision-making processes.
WSDOT will apply commercial remote sensing technologies to NEPA-related analysis in planning the Washington Interstate 405 Corridor project in the Puget Sound urban area (identified as a high priority for congestion relief). By comparing the cost and quality of the results obtained from traditional NEPA data collection methods with those using the methods which this project will develop, this project will evaluate the utility of the new technology in the NEPA process. Products will include remotely sensed image data, derived and interpreted land use and land cover information, software procedures to derive land use and land cover, a cost-benefit analysis, and screening tools to identify and delineate areas where proposed transportation development might cause adverse environmental impacts.
The Virginia DOT will demonstrate that remotely sensed wetlands data, introduced early in the planning process, along with other available GIS data layers provides a good preliminary indication of potential impact as well as an accurate guide to field reconnaissance and survey. The investigation includes plans to review VDOT wetland identification processes for projects, review completed processes for Route 17, identify and acquire imagery, establish reflectance ranges for vegetation types, develop a wetland classification routine, and output wetland information. The areas classified as wetlands will be compared to existing field reconnaissance data. The derived wetland information will be made available in the VDOT GIS and integrated with other VA DOT enterprise GIS data.
Veridian will develop a regional database for southern Mississippi for use in transportation planning and provide a transportation planning application to rapidly assess impacts due to changes in alignment configuration. Building on a regional database developed for the Gulf Regional Planning Commission (GRPC), VERIDIAN will add remotely sensed imagery and other geospatial information useful to update existing road information. The database will then be shared via an Internet Map Server (IMS). Existing USGS image and elevation information products along with products derived from remote sensing analyses will be compared to ground truth data to determine and compare accuracies and how these information products meet the needs of transportation planners. The transportation planning application will allow the user to specify an alignment configuration and right-of-way requirements. Using this information, the tool will query the database for specific environmental features, calculate impacts for each feature, develop maps along the corridor at a specified scale, and develop an impact report. |