Remote sensing of water. Spectral results. Remote sensing algorithms. Next steps
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1 The use of remote sensing to measure water quality in New England (USA) lakes Shane Bradt University of New Hampshire
2 Remote sensing of water Methods Spectral results Remote sensing algorithms Next steps
3 Steps in water RS 1. Collect lake spectral measurements from lakes paired with relevant limnological data Chlorophyll, microcystins, CDOM, ect. 2. Characterize the spectral patterns found in New England lakes 3. Develop algorithms to measure water quality in New England lakes 4. Apply algorithms to satellite imagery to validate the pp y g g y techniques
4 Things to think about for water RS 1. How is water different than land? a) Low reflectance b) Rapid changes c) Narrow bands of interest ==> return time of sensor ==> turn around time of data ==> atmospheric correction ==> spectral sensitivity ==> radiometric sensitivity
5 3.0 spectral sensitivity 2.5 (%) 2.0 high Chl Reflectance low Chl Wavelength (nm) Absorption by algae (chlorophyll) Absorption by cyanobacteria (phycocyanin) Fluorescence peak (seen in low chlorophyll lakes) Scattering peak (seen in high chlorophyll lakes) Absorption by CDOM
6 3.0 spectral sensitivity 2.5 (%) Reflectance Wavelength (nm) Absorption by algae (chlorophyll) Absorption by cyanobacteria (phycocyanin) Fluorescence peak (seen in low chlorophyll lakes) Scattering peak (seen in high chlorophyll lakes) Absorption by CDOM
7 3.0 spectral sensitivity 2.5 (%) Reflectance Landsat TM Wavelength (nm) Absorption by algae (chlorophyll) Absorption by cyanobacteria (phycocyanin) Fluorescence peak (seen in low chlorophyll lakes) Scattering peak (seen in high chlorophyll lakes) Absorption by CDOM
8 3.0 spectral sensitivity 2.5 (%) Reflectance Wavelength (nm) Absorption by algae (chlorophyll) Absorption by cyanobacteria (phycocyanin) Fluorescence peak (seen in low chlorophyll lakes) Scattering peak (seen in high chlorophyll lakes) Absorption by CDOM
9 3.0 spectral sensitivity 2.5 (%) Reflectance MERIS Wavelength (nm) Absorption by algae (chlorophyll) Absorption by cyanobacteria (phycocyanin) Fluorescence peak (seen in low chlorophyll lakes) Scattering peak (seen in high chlorophyll lakes) Absorption by CDOM
10 3.0 spectral sensitivity 2.5 (%) Reflectance Wavelength (nm) Absorption by algae (chlorophyll) Absorption by cyanobacteria (phycocyanin) Fluorescence peak (seen in low chlorophyll lakes) Scattering peak (seen in high chlorophyll lakes) Absorption by CDOM
11 Remote sensing of water Methods Spectral results Remote sensing algorithms Next steps
12 93 spectra 65 lakes
13 Chlorophyll in study lakes Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont 70% Chlorophyll (ug l - 1 ) Forest Lake Granite Lake Ewell Pond Lowell Lake Shadow Lake Diamond Pond Whalom Lake Wallum Lake Lake Mattawa Goose Pond Mashapaug Lake Keola Lake Quacumquasit lake Figure Eight Pond Pleasant Lake Partridge Lake Stearus Pond Quinnebaug Lake Winncheck Pond Silver Lake Perch Pond Hayward Lake Five Mile Pond Champlain - Inner St. Albans Champlain - Albans 36 Upper Statesville Reservoir Champlain - Albans 40 Long Pond Watchaug Lake Sunset Lake Love Joy Pond Gorton Pond Champlain - Grand Island Champlain - B Champlain - Miss South of Bridge Champlain - Miss 50 French Pond Hundred acre Pond Amos Lake Champlain - Miss Tyler Place Lake Attitash Sennebec Pond Chauncey Lake Champlain - A Showell Pond Shelbourne Pond 0
14 nm 3 nm bands downwelling USB 2000 radiometers (measure light, output data) upwelling fiber optic cable (transmit light) serial cable (transmit data)
15 Downwelling Upwelling Calibration
16 Corrections for: fiber optics cable water to air temperature 93 lakes 2023 wavelengths 188,139 regressions Rrs
17 Remote sensing of water Methods Spectral results Remote sensing algorithms Next steps
18 All remote sensing reflectance spectra (n=93) 6 5 Rrs (%) Wavelength (nm) 700
19 All remote sensing reflectance spectra (n=93) Rrs (%) Wavelength (nm) 700
20 Spectral response to chlorophyll eflectance e (%) R Champlain (NE) Champlain (Albans) French Granite Groton Shelbourne Silver (VT) 27 ug l ug l ug ug l -1 l ug l ug l ug l -1 5ugl -1 1 ug l Wavelength (nm)
21 Remote sensing of water Methods Spectral results Remote sensing algorithms Next steps
22 Remote sensing algorithms Chlorophyll Possibilities MODIS, Dall Olmo & Gitelson 2005, Gons 1999, Gitelson et. al 2007 Problems None developed for similar lakes
23 Dall Olmo & Gitelson Reflectance (% %) Wavelength (nm) <10 ug / L chl not so good
24 chlorophy yll a (µg l -1 ) adj r 2 = 0.60 STE = 9.4 p = < Predicted nm pchl = (((705nm/673nm)/a chla*) )/ nm Extracted chlorophyll a (µg l -1 )
25 Remote sensing of water Methods Spectral results Remote sensing algorithms Next steps
26 Next Steps Correct chlorophyll concentrations back to lab absorption measurements Continue work on New England algorithms Chlorophyll, Cyanobacteria, CDOM Use satellite/aerial platforms to test viability of remote sensing of New England Lakes Satellites Aircraft
27 Finally Shane is going to work with imagery! hyperspectral p aircraft overflight in Sep 2009 variety of satellite images Northeast lake folks as promised, I will come knocking for: chlorophyll data Secchi disk data
28 Acknowledgements Funding UHN Graduate School, USDA, NH Space Grant, Project Lake Watch (NSF), NEIWPCC - EPA Region I, UNH Cooperative Extension UNH Remote Sensing Dr. Janet Campbell, Dr. Rudiah Morrison, Dr. Mark Dowell, Mike Nowak, Tim Moore, Doug Vandemark UNH Limnology Sonya Carlson, Travis Godkin, Dr. Leland Jahnke, Jeff Schloss, Bob Craycraft, Field Limnology classes ( 02-04) 04) Ocean Optics Class 2004 Dr. Emmanuel Boss (UMaine), Dr. Colin Roesler (Bigelow Labs), Dr. Curt Mobley (Sequioa Sci.), Wayne Slade (UMaine) CALMIT Nebraksa Bryan Leavitt (UNL), Giorgio Dall Olmo (UNL), Dr. John Schalles (Creighton) EPA Region I & ORD Darryl Keith, Hillary Snook, Andrew Brock, Jeffery Barrett, Gabriela Martinez New England States CT Department of Environmental Protection ME Department of Environmental Protection MA Department of Environmental Protection NH Department of Environmental Services URI Cooperative Extension VT Department of Environmental Conservation
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