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Project Description

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A National Science Foundation Major Research Instrumentation Program grant has provided funding for the purchase of a High Accuracy/Resolution Landscape and Structure Characterization System (HARLS-CS). The HARLS-CS is an integrated suite of instruments designed to rapidly and accurately characterize the topographic and multi-spectral properties of the surfaces of relatively small areas (e.g. 100s of square meters to 10s of hectares) and structures (such as building facades) at very high resolution (25 mm - 0.5 m). The system provides coordinated three dimensional, multispectral and metric photographic-based measurements necessary for a wide range of mensuration, classification, and quantitative characterization analyses. The system dramatically expands existing research activities in a number of disciplines and multidisciplinary areas. It serves as a shared resource in the fields of anthropology, archeology, architecture, biological and agricultural engineering, community planning/policy, entomology, geography, geology, and water resource management. It also plays a significant role in expanding research training by providing advanced undergraduates and graduate students access to critically important data as well as new capabilities for the development of valuable methodological expertise.

The system is comprised of an Optech ILRIS 3D laser profiler, ASDI field spectroradiometer, Duncan MS4100 multispectral camera, Nikon digital cameras, Trimble 5600/5700/5800 total station with GPS, supporting software (e.g. Innovmetric PolyWorks and EOS PhotoModeler) and towable lift boom. This suite integrates seamlessly into a well-developed set of existing research resources including a Raytheon 250 thermal imager, extensive multispectral and photogrammetric software and hardware as well as existing research programs and institutional structures. The HARLS-CS instruments are suitable for close range, terrestrial and boom uses and the multispectral and photographic components can be mounted in light aircraft, if needed.

Integrating laser range data and image data (both panchromatic and multispectral) is a growing area of research (see, for example, McIntosh et al. 2000) and we expect to contribute to this research with the data collected by the HARLS-CS. The University of Arkansas will closely collaborate with the Department of Civil and Environmental Engineering and Geodetic Sciences and the Byrd Polar Research Center at the Ohio State University to develop new and innovative techniques for fusing multi-source data collected by HARLS-CS.

Multi-Scalar, Multi-Sensor Research

It is well known that the investigation of a wide range of physical, biological and human processes requires investigations at a range of scales (c.f. Ehleringer at al 1993, Goodchild 1992, Robinson 1950, Turner et al 1989, Woodcock and Strahler 1987), where the term scale implies both the magnitude of the study (geographic extent) and degree of detail (resolution) (Goodchild and Quattrochi 1997). In many projects research objectives are driven by the ready accessibility of moderate resolution (e.g. landscape scale 1:12,000-1:100,000 scale 1 - 250 m pixel) sources such as MODIS, Landsat ETM, IKONOS, QuickBird, USGS DEMs and/or aircraft sensors such as AVRIS and others.

These systems provide multispectral measurements and three-dimensional (topographic) characteristics derived from photogrammetric processing of stereo images that have well understood properties and low cost. These multispectral and topographic inputs have been used in a variety of analyses by the research team members in areas that include crop characterization and precision agriculture (Bajwa and Vories 2002), soil characterization (Bajwa and Tian. 2001), water quality (Pionke et al., 1997, Gburek and Sharpley 1998), forest entomology (Stephen et al. 1997; Stephen and Browne, 2000), bathymetry and sedimentation (Brown and Boss 2002), archeological site characterization (Kvamme 2001), architectural visualization, early hominid site analysis and visualization (Nigro et al., in press, Lacruz et al., in press), urban morphological analysis (Burian et al. 2002a), and urban air quality and dispersion modeling (Burian et al. 2002b).

While studies utilizing data from aircraft or satellite based sensors are very effective they are substantially limited in the level of detail they can achieve. Studies using such data are also constrained by researchers' inability to control the scheduling of data acquisition from sources such as satellites. It is also clear that there is a wide range of significant processes that occur at a much finer scale (resolution) than that supported by standard sources, frequently defined as site, structure, plot or field levels. In the past, acquisition of measurements at this scale involved manual measurements, traditional survey, or other time consuming approaches. The HARLS-CS instrumentation is designed to fill the current gap in readily accessible measurements needed to provide accurate, dense characterization at the site/plot/field level of analysis that will dramatically expand research analyses of processes at this scale. It takes advantage of recent commercialization of both high resolution laser scanning and multi-spectral cameras and software to process and integrate them. Measurements are provided at large to very large scale (e.g. 1:2,400 - 1:50), with small to very small pixel resolution (e.g. 50 - 0.25 cm pixel) and at times appropriate to the specific study - providing critically needed research data not otherwise available.

The HARLS-CS will be initially used in research and research training by 13 faculty and students in nine units across three colleges as well as by the Arkansas Archeological Survey (a UA systems level unit). The University units are currently using the system include The Center for Advanced Spatial Technologies, The Arkansas Archeological Survey, The Archeo-Imaging Lab, and the Departments of Anthropology, Architecture, Biological Sciences, Biological and Agricultural Engineering, Civil Engineering, Entomology, Geosciences, and Environmental Dynamics.

 

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