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<br />00851 <br /> <br />5. CHARTS should be testcd 10 detcrmine if this system can providc accurate Illll- <br />channel topography in turbid and deep parts oflhc CRE. <br />6. QTC software should also be examined to determine if the software can bc used <br />to map sediment characteristic.s from backscat1er multibeam data. <br />7. An additional evaluation should also be performed on a well-calibrated, <br />multispectral or hyperspectral data set for mapping vegetation species within <br />the CRE to determine the accuracy tradeoff" between number of spectral <br />bands and spatial resolution. <br /> <br />6.0 Summary of Remote-Sensing Protocols <br /> <br />Protocols for remote-sensing data collection are divided into two categorics (imagc and <br />elevation data), and subdivided into minimum and optimum requirements. The minimum <br />requirements are not highly recommended because the data will require additional processing and <br />funds to use the data. <br />6./. Minimum/magery Protocols <br /> <br />I. Color-infrared data for terrestrial mapping, high-gain option for aquatic mapping, and <br />T1R for mapping wann-water habitats. <br />2. Spatial resolution 15-20 cm for most terrestrial applications, ~ 6 cm for <br />archaeological applications, and 100 cm for TIR data for aquatic applications. <br />3. If analog imagery collec.ted, scanning at 15 microns. <br />4. Accurate GPS/IMU instrumentation. with internal image orientation data ('I', K, a) <br />reported for analog data. <br />5. Dual sensor and aircraft data collections to insure against weather and equipment <br />problems and to reduce collection times hy 50%. <br />6. Accurate and complete metadata. <br />7. Data collections under time-ot:day Ilight restrictions predicted by GCMRC shadow <br />models to minimize shadows. <br /> <br />6.2 Oplimum/magery Protocols (highly recommended) <br /> <br />I. Calibrated, digital sensors with four bands (blue. green, red, and near-infrared). <br />2. 12-16-bil data storage, especially for mapping vegetation and channel substrate. <br />3. Orthorectified data with 30-cm positional accuracy. <br /> <br />6.3 Elevation Data Protocols <br /> <br />~ <br /> <br />I. For terrestrial sediment volume studies. vertical accuracy'; 25 cm. Minimum <br />protocol is I :4,OOO-scale, sterco photogrammetry; optimum protocol is very high- <br />resolution L1DAR. <br />2. For archaeological studies, vertical accuracy'; 6 cm using very high-rcsolution <br />LI DA R systems. <br />3. For canopy volume estimates. vertical accuracy S 50 cm using either automated <br />photogrammetry (providing a I-m DSM) or high 10 vcry high-resolution L1DAR. <br />4. For channel mapping, vertical accuracy'; 15 cm using acoustic multibeam data <br />(minimum protocol) or the CHARTS L1DAR (optimum protocol if proven accuratc <br />within the CRE). <br /> <br />7.0 Positive Effects orthe Remote Sensing Initiative <br /> <br />27 <br />