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<br />001748 <br /> <br />17 <br /> <br />attempt to redistribute this newly supplied sand to high elevation eddies and sandbars. On <br />November 20th at 10 pm flows began to ramp up from 8,000 cfs at Glen Canyon Dam, reaching a <br />peak of 41 ,000 cfs on November 22nd at 4 am. The peak was maintained for 60 hours and the <br />flow returned to 8,000 cfs on November 25th at 1 pm. High-resolution suspended-sediment and <br />bed material data were collected during the high-flow test, along with pre- and post-high-flow <br />sandbar surveys (ground-based and aerial remote sensing combined with traditional land <br />surveying) in selected reaches throughout Marble Canyon in order to evaluate the effects of the <br />high-flow test on fine sediment resources within the CRE. Data analysis is ongoing with <br />preliminary results expected during the fall of2005 (see Pennisi, 2004). <br /> <br />Data Acquisition. Storae:e and Analvsis (DASA) <br />Based on results of the 2000-2003, Remote Sensing Initiative (Davis, et aI., 2003) and the <br />success of several automated analysis projects undertaken in FY2003, the GCMRC proposes to <br />refocus many of its monitoring data acquisition and analysis efforts around a common theme <br />entitled, automated monitoring technologies and applications. This approach envisions: (1) <br />adoption of a suite of remote sensing technologies that have either been proven or are very likely <br />to produce terrestrial and hydrographic data of sufficient accuracy to satisfy many of the <br />scientific needs of the physical, biological and cultural resource programs, as well as information <br />requirements of resource managers, and (2) development or adoption of digital analysis routines <br />for automating the extraction and classification of information formatted to the monitoring needs <br />of scientists or cooperators attached to the physical, biological and cultural resource programs <br />and to those of resource managers. This approach is designed to supplement and enhance more <br />traditional scientific data collection and analysis technologies, and, in some cases, supplant them. <br />Airborne and ground-based sensors have joined the ranks of more traditional gauging stations as <br />technologies for monitoring the environment. This approach is adaptive. It recognizes that, <br />while all scientific data collection cannot be automated, many analysis and field-support <br />activities can be. Where applicable, the GIS program exists to provide this support. In this <br />vision, 'storage' is that component of the triad that provides the framework for housing and <br />accessing an expanding digital database composed of traditional and remotely sensed data <br />together with their derived information products. <br />System-Wide Data Acquisition (Airborne Remote Sensing) - The automated monitoring <br />technologies and applications approach envisions implementation of many findings and remote <br /> <br />GCMRC FY2006 Annual Work Plan (Draft February 15,2005) <br />