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Location Information | Location Notes |
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U.S. Forest Service - Pacific Southwest Research Station (USFS - PSW) | Pat Manley - U.S. Forest Service - Pacific Southwest Research Station (USFS - PSW) | |||
UC Davis Tahoe Environmental Research Center (TERC) | Patricia Maloney - UC Davis Tahoe Environmental Research Center (TERC) | |||
University of California, Davis (UC Davis) | Kat McIntyre - Tahoe Regional Planning Agency (TRPA) |
No expected performance measures set for this project.
No annual performance measure accomplishments entered for this project.
Total | |||
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Southern Nevada Public Land Management Act (Pacific Southwest Research Station) (USFS - PSW) | $146,437 | $146,437 | $0 |
Grand Total | $146,437 | $146,437 | $0 |
Total | 2013 | 2012 | 2011 | 2010 | |
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Southern Nevada Public Land Management Act (Pacifi... | $146,437 | $36,609 | $36,610 | $36,609 | $36,609 |
Grand Total | $146,437 | $36,609 | $36,610 | $36,609 | $36,609 |
No watersheds set for this project.
No Local and Regional Plans set for this project.
No Related Projects set for this project.
No external links entered.
08/14/2017 4:15 PM | Kiara Cuerpo-Hadsall | Objectives: The goal of this research was to investigate the extent to which remotely sensed data could be used to retrieve fine particles, chlorophyll, and colored dissolved organic matter (CDOM) concentrations from the water column in the near shore, and to map the distribution of periphyton (attached algae), aquatic macrophytes (submerged plants), and clam beds in the near shore of Lake Tahoe. |
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08/14/2017 4:14 PM | Kiara Cuerpo-Hadsall | Findings: • An algorithm for deriving fine sediment, chlorophyll, and CDOM concentration in the water column in the near shore water regions using remote sensing imagery, proved to be very difficult. Absorption analyses showed that the values of optically significant components are extremely low relative to the values found in other inland water bodies, and the available instruments (US Geological Survey, Sacramento) frequently had issues with samples below their levels. • Algorithms for underwater substrate detection were developed but their application proved to be difficult due to influence (and lack of resolution) of water-borne constituents above the bottom surface as discussed previously, even though the lake water is very clear. Discrimination between sand and macrophyte would be feasible until the bottom depth reaches approximately 10 m. Detection of rocks from sand would also be feasible in a similar depth range. • Clam beds usually exhibit a patchy distribution in sand, and hence the possibility of separation would be low due to the similarity in spectral shape between sand and clam beds, and site to site variability of spectra within these substrate types. • Separation of rocks from macrophyte would also be feasible. In general, with present technology, it appears that only larger patches of macrophytes are sufficiently distinguishable from remotely sensed datasets. It will require higher sensitivity and high spectral resolution data (e.g., hyperspectral airborne sensor, PRISM by NASA-JPL) for other substrate types to be distinguishable. |
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08/14/2017 4:13 PM | Kiara Cuerpo-Hadsall | Management Implications: • Estimation of the concentrations of optically significant components in water of the lake proved to be difficult due to low concentration and low variability. CDOM, non-algal suspended solid, and algal particle all showed extremely low level of absorption relative to other natural water bodies. CDOM was almost at detection limit of the instrument and could not be quantified reliably. Also, spatial variability was quite low among our samples, in that statistical model development was not feasible. • The development of a cost-benefit analysis for using remote sensing for nearshore monitoring is not meaningful at the present time. The lack of adequate discrimination of different bottom types with current remote sensing products and the noise inherent in the in-water constituent concentrations means that the full suite of benefits are not presently available. |
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08/14/2017 4:13 PM | Kiara Cuerpo-Hadsall | Publications: www.fs.fed.us/PSW/partnerships/tahoescience Shohei Watanabe1,2, Erin L. Hestir, Susan L. Ustin, S. Geoffrey Schladow, Remote Sensing of Lake Tahoe's Near Shore Environment. |