Grant Proposal Draft 1

The quantification of coloured dissolved organic material (CDOM) in lakes can be estimated from remote sensing data collected using handheld and airborne spectrometer sensors (Arenz et al., 1996; Hirtle & Rencz, 2003; Vertucci & Likens, 1989; Kutser et al. 2004 & 2005, Leguet et al. 2013 in print). This is an important correlation to make, as examining DOC concentrations for early identification of mercury pollution could prevent harmful damage of the water columns (Hirtle & Rencz 2003), which habitats in Canada rely on for overall ecosystem health. Kutser et al. (2005) found after analyzing Landsat, IKONOS and ALI that their imagery was adequate for concentration CDOM ranges in Nordic countries. The results showed that the 16-bit radiometric resolution of ALI, a prototype of the next generation of Landsat launched in February 2013, would be suitable for mapping CDOM in a wider range of concentrations (Kutser et al. 2005). For this reason, it is important to confirm this study, and analyze the concentration ratios of CDOM in previously studied lakes using newly acquired data from the Landsat 8. This data will be matched with field-acquired data of the CDOM concentrations in lakes across the Eastmain and Abitibi regions. These values will help confirm the relationship between the calculated and sampled values of CDOM with the Landsat 8 sensor. Additionally, with confirmation of the Landsat 8 band ratios, this study will aim to quantify the amount of carbon in lakes across other provinces of Canada using the data from Landsat 8.

References

Arenz Jr, R. F., Lewis Jr, W. M., & SAUNDERS III, J. F. (1996). Determination of chlorophyll and dissolved organic carbon from reflectance data for Colorado reservoirs. International Journal of Remote Sensing, 17(8), 1547-1565.

Brezonik, P., Menken, K. D., & 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(4), 373-382. doi: 10.1080/07438140509354442

Canham, C. D., Pace, M. L., Papaik, M. J., Primack, A. G., Roy, K. M., Maranger, R. J., ... & Spada, D. M. (2004). A spatially explicit watershed-scale analysis of dissolved organic carbon in Adirondack lakes. Ecological Applications, 14(3), 839-854.

Dominy, S. W., Gilsenan, R., McKenney, D. W., Allen, D. J., Hatton, T., Koven, A., ... & Sidders, D. (2010). A retrospective and lessons learned from Natural Resources Canada's Forest 2020 afforestation initiative. The Forestry Chronicle, 86(3), 339-347.

Duchemin, É., Lucotte, M., Canuel, R., & Soumis, N. (2006). First assessment of methane and carbon dioxide emissions from shallow and deep zones of boreal reservoirs upon ice break‐up. Lakes & Reservoirs: Research & Management, 11(1), 9-19.

Gergel, S. E., Turner, M. G., & Kratz, T. K. (1999). Dissolved organic carbon as an indicator of the scale of watershed influence on lakes and rivers.Ecological Applications, 9(4), 1377-1390.

Hirtle, H., & Rencz, A. (2003). The relation between spectral reflectance and dissolved organic carbon in lake water: Kejimkujik National Park, Nova Scotia, Canada. International Journal of Remote Sensing, 24(5), 953-967. doi: 10.1080/01431160210154957

Kainz, M., Lucotte, M., & Parrish, C. C. (2003). Relationships between organic matter composition and methyl mercury content of offshore and carbon-rich littoral sediments in an oligotrophic lake. Canadian Journal of Fisheries and Aquatic Sciences, 60(7), 888-896.

Karim, A., Veizer, J., & Barth, J. (2008). Net ecosystem production in the great lakes basin and its implications for the North American missing carbon sink: A hydrologic and stable isotope approach. Global and Planetary Change, 61(1), 15-27.

Kortelainen, P. (1993). Content of total organic carbon in Finnish lakes and its relationship to catchment characteristics. Canadian Journal of Fisheries and Aquatic Sciences, 50(7), 1477-1483.

Kutser, T., Pierson, D. C., Tranvik, L., Reinart, A., Sobek, S., & Kallio, K. (2005). Using Satellite Remote Sensing to Estimate the Colored Dissolved Organic Matter Absorption Coefficient in Lakes. Ecosystems, 8(6), 709-720. doi: 10.1007/s10021-003-0148-6

Kutser, T., Pierson, D., Kallio, K., Reinart, A., & Sobek, S. (2005). Mapping lake CDOM by satellite remote sensing. Remote Sensing of Environment, 94(4), 535-540. doi: 10.1016/j.rse.2004.11.009

Leguet, J., Cardille, J. A., & Del Giorgio, P. (2013). Remote sensing of lake CDOM using non-contemporaneous field data (Unpublished master's thesis). University of Montreal.

Smith, C. K., Coyea, M. R., & Munson, A. D. (2000). Soil carbon, nitrogen, and phosphorus stocks and dynamics under disturbed black spruce forests.Ecological Applications, 10(3), 775-788.

Stedmon, C. A., Markager, S., & Kaas, H. (2000). Optical properties and signatures of chromophoric dissolved organic matter (CDOM) in Danish coastal waters. Estuarine, Coastal and Shelf Science, 51(2), 267-278.

Tranvik, L. J., Downing, J. A., Cotner, J. B., Loiselle, S. A., Striegl, R. G., Ballatore, T. J., ... & Weyhenmeyer, G. A. (2009). Lakes and reservoirs as regulators of carbon cycling and climate. Limnology and Oceanography, 54(6), 2298-2314.

Weissenberger, S., Lucotte, M., Houel, S., Soumis, N., Duchemin, É., & Canuel, R. (2010). Modeling the carbon dynamics of the La Grande hydroelectric complex in northern Quebec. Ecological Modelling, 221(4), 610-620.

Williamson, C. E., Morris, D. P., Pace, M. L., & Olson, O. G. (1999). Dissolved organic carbon and nutrients as regulators of lake ecosystems: Resurrection of a more integrated paradigm. Limnology and Oceanography, 795-803.

Williamson, C. E., Saros, J. E., Vincent, W. F., & Smol, J. P. (2009). Lakes and reservoirs as sentinels, integrators, and regulators of climate change.Limnology and Oceanography, 54(6), 2273.

Xenopoulos, M. A., Lodge, D. M., Frentress, J., Kreps, T. A., Bridgham, S. D., Grossman, E., & Jackson, C. J. (2003). Regional comparisons of watershed determinants of dissolved organic carbon in temperate lakes from the Upper Great Lakes region and selected regions globally. Limnology and Oceanography, 2321-2334.