Long-Term Application of Remote Sensing Chlorophyll Detection Models: Jordanelle Reservoir Case Study

Read  full  paper  at:http://www.scirp.org/journal/PaperInformation.aspx?PaperID=54109#.VO2BaCzQrzE

Algae blooms pose a threat to water quality by depleting oxygen during decomposition and also cause other issues with water quality and water use. Algae biomass is traditional monitored through field samples analyzed for chlorophyll-a, a pigment present in all algae. Field sampling can be time- and cost-intensive, especially in areas that are difficult to access and provides only limited spatial coverage. Estimations of algal biomass based on remote sensing data have been explored over the past two decades as a supplement to information obtained from limited field samples. We use Landsat data to develop and demonstrate seasonal remote sensing models, a relatively recent method, to evaluate spatial and temporal algae distributions for the Jordanelle Reservoir, located in north-central Utah. Remote sensing of chlorophyll as a monitoring and analysis method can provide a more spatially complete representation of algae distribution and biomass; information that is difficult to obtain using point samples.

Cite this paper

Hansen, C. , Williams, G. and Adjei, Z. (2015) Long-Term Application of Remote Sensing Chlorophyll Detection Models: Jordanelle Reservoir Case Study. Natural Resources, 6, 123-129. doi: 10.4236/nr.2015.62011.


[1] Ask Landsat (2013) http://landsat.usgs.gov
[2] Prowse, G. and Talling, J. (1958) The Seasonal Growth and Succession of Plankton Algae in the White Nile. Limnology and Oceanography, 3, 222-238.
[3] Castenholz, R.W. (1960) Seasonal Changes in the Attached Algae of Freshwater and Saline Lakes in the Lower Grand Coulee, Washington. Limnology and Oceanography, 5, 1-28.
[4] Stadelmann, T.H., Brezonik, P.L. and Kloiber, S. (2001) Seasonal Patterns of Chlorophyll a and Secchi Disk Transparency in Lakes of East-Central Minnesota: Implications for Design of Groundand Satellite-Based Monitoring Programs. Lake and Reservoir Management, 17, 299-314.
[5] Olmanson, L.G., Bauer, M.E. and Brezonik, P.L. (2008) A 20-Year Landsat Water Clarity Census of Minnesota’s 10,000 Lakes. Remote Sensing of Environment, 112, 4086-4097.
[6] Brezonik, P., Menken, K.D. and Bauer, M. (2005) Landsat-Based Remote Sensing of Lake Water Quality Characteristics, including Chlorophyll and Colored Dissolved Organic Matter (CDOM). Lake and Reservoir Management, 21, 373-382.
[7] Fuller, L.M., Aichele, S.S. and Minnerick, R.J. (2004) Predicting Water Quality by Relating Secchi-Disk Transparency and Chlorophyll a Measurements to Satellite Imagery for Michigan Inland Lakes, August 2002. US Department of the Interior, US Geological Survey.
[8] UDEQ (2004) Jordanelle Reservoir Lake Report, in Lake Reports. Utah Department of Environmental Quality.
[9] USGS (2014) Landsat Missions. Ask Landsat 2013.
[10] Bailey, S.W. and Werdell, P.J. (2006) A Multi-Sensor Approach for the On-Orbit Validation of Ocean Color Satellite Data Products. Remote Sensing of Environment, 102, 12-23.
[11] Johnson, R., et al. (2013) Three Improved Satellite Chlorophyll Algorithms for the Southern Ocean. Journal of Geophysical Research: Oceans, 118, 3694-3703.
[12] Cullen, J.J. (1982) The Deep Chlorophyll Maximum: Comparing Vertical Profiles of Chlorophyll a. Canadian Journal of Fisheries and Aquatic Sciences, 39, 791-803.
[13] Morel, A. and Berthon, J.F. (1989) Surface Pigments, Algal Biomass Profiles, and Potential Production of the Euphotic Layer: Relationships Reinvestigated in View of Remote-Sensing Applications. Limnology and Oceanography, 34, 1545-1562.
[14] Sathyendranath, S., et al. (2004) Discrimination of Diatoms from Other Phytoplankton Using Ocean-Colour Data. Marine Ecology Progress Series, 272, 59-68.
http://dx.doi.org/10.3354/meps272059                                                                               eww150225lx


Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / 更改 )

Twitter picture

You are commenting using your Twitter account. Log Out / 更改 )

Facebook photo

You are commenting using your Facebook account. Log Out / 更改 )

Google+ photo

You are commenting using your Google+ account. Log Out / 更改 )

Connecting to %s