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<br />22 <br /> <br />, <br />" <br /> <br />collected after sunset. TIR data collected during daylight hours detect only the largest springs, <br /> <br />whose existence is already known. Detection of natural springs after sunset can and has been <br /> <br />accomplished using rather low-resolution imagery (1-3 meters) because the spring waters spread <br /> <br />from their source and present a large area and the spring water is much colder than the <br /> <br /> <br />surrounding warm, dry ground, <br /> <br />Monitoring Sand-Bar Deposits - The GCMRC evaluated light detection and ranging <br />(LiDAR) and photograrnmetric methods for remotely mapping sand bar deposits along the <br />Colorado River to determine if these two remote-sensing technologies for mapping topography <br />could approach the accuracies currently obtained using field survey methods and at a comparable <br />cost, while providing more aerial coverage, Thus far, our studies have determined that LiDAR <br />appears to be a suitable method for rapidly obtaining the topography of bare sediment surfaces <br />over very large regions whereas photogrammetry produces more accurate ground topography in <br />vegetated terrain than LiDAR, <br />Members of the DASA are further investigating LiDAR and photograrnmetry in terms of <br />their ability to map volumes of terrestrial sediments, which does not require knowledge of <br />absolute elevations, In FY2002-03, we investigated remote-sensing technologies to determine <br />vegetation habitat structures (area, volumes, heights), to map and monitor older river terraces, to <br />map and monitor channel bottom deposits, and to monitor the river water's suspended load and <br />turbidity, <br />The remote sensing initiative was completed at the end ofFY2003, A report was <br />completed in Fall FY2003 that recommended technologies for implementation within all <br />GCMRC program areas to the Technical Work Group (see Davis et aI., 2003). Remote sensing <br />activities in FY's 2005-06 will largely consist of data collection in support of the biological, <br />cultural, and physical science programs at GCMRC, with airborne data proposed for collection in <br />Spring of FY2006 in support of Core Monitoring, <br />Core Data Storafle (Database manal!ement) - The DASA is the first of three fundamental <br />technologies for consolidating, storing, and distributing data gathered as part of monitoring and <br />research projects at GCMRC. Its purpose is to store all tabular data available in electronic form <br />and to reference additional data that is either not available in electronic form or is not tabular <br />(e,g" digital imagery). The Oracle data base engine was selected for GCMRC data base <br />development. Oracle is a state-of-the-art data storage and delivery system that can function either <br /> <br />GCMRC FY2005-2006 Draft Annual Work Plan (November 10, 2003) <br />