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<br />\'0\)'0 <br /> <br />19 <br /> <br />managers, and (2) development or adoption of digital analysis routines for automating the <br />extraction and classification of information formatted to the core monitoring needs of scientists <br />or cooperators attached to the physical, biological and cultural resource programs and to those of <br />resource managers. This approach is designed to supplement and enhance more traditional <br />scientific data collection and analysis technologies, and, in some cases, supplant them, Airborne <br />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 />Core Data Acquisition (Remote Sensing) - The automated core monitoring <br />tecbnologies and applications approach envisions implementation of many findings and remote <br />sensing technologies recommended to the Technical Work Group in the final report from the <br />remote sensing initiative, The suggested suite of remote sensing technologies and selected <br />applications includes: (I) multi-spectral and panchromatic digital imagery (25 em and 12.5 em <br />spatial resolutions) together with digital elevation data (l meter spatial resolution), whose <br />analysis was automated in 2003 to produce terrestrial vegetation and fine-grained sediment <br />inventories, (2) very high resolution LiDAR (7 to 14 points per square meter), whose analysis <br />may be automated to produce survey-accurate, terrestrial sand bar morphologies and vegetation <br />canopies, and (3) hydrographic LiDAR (3 meter spatial resolution) and multi-beam sonar (up to <br />2 em spatial resolution), whose analysis may be automated to produce both macro and micro- <br />scale bathymetry and channel-bottom sediment-type classifications, The GCMRC proposes to <br />fly these instrument suites on a biennial basis, collecting: (I) canyon-wide multi-spectral and <br />perhaps hydrographic LiDAR data in support of macro-scale channel, vegetation and fine- <br />grained sediment core monitoring activities, and (2) very high resolution LiDAR and multi-beam <br />sonar data in Marble Canyon in support of micro-scale sediment and vegetation morphology <br />studies and monitoring, <br />Remote sensing accomplishments in FY2002-03 included acquisition of a canyon-wide <br />set of multi-spectral digital imagery and a I-meter digital elevation model (DEM), a successful <br /> <br />GCMRC FY2005-2006 Draft Annual Work Plan (November 10, 2003) <br />