Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission

Remote Sensing of Environment

Volumn 167, Issue , 2015, Pages 181-195

  Hestir, Erin Lee ^a,b   Brando, Vittorio E ^a,c   Bresciani, Mariano ^c   Giardino, Claudia ^c   Matta, Erica ^c   Villa, Paolo ^c   Dekker, Arnold G ^a  

^a CSIRO   (Australia)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

^c INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT   (Italy)

Author keywords

APEX; Aquatic ecology; Chlorophyll a; Freshwater; Hyperspectral; Lake size; Macrophytes; Phycocyanin; Spatial spectral temporal resolutions; Water quality; Wetlands

Indexed keywords

AQUATIC ECOSYSTEMS; BIODIVERSITY; CHLOROPHYLL; CLIMATE CHANGE; DIGITAL STORAGE; ECOLOGY; FOOD SUPPLY; MAPPING; NASA; ORBITS; RADIOMETRY; REMOTE SENSING; SATELLITES; SPECTRAL RESOLUTION; WATER; WATER QUALITY; WETLANDS;

APEX; AQUATIC ECOLOGY; CHLOROPHYLL A; FRESHWATER; HYPERSPECTRAL; MACROPHYTES; PHYCOCYANIN; TEMPORAL RESOLUTION;

ECOSYSTEMS;

AQUATIC PLANT; CHLOROPHYLL A; CLIMATE VARIATION; ECOSYSTEM MANAGEMENT; FRESHWATER ECOSYSTEM; GROWING SEASON; LAND MANAGEMENT; MACROPHYTE; MAPPING METHOD; PHENOLOGY; POLICY MAKING; PRIMARY PRODUCTION; PROTEIN; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPECTRAL ANALYSIS; SPECTRAL RESOLUTION; VULNERABILITY; WETLAND;

UNITED STATES;

ALGAE;

EID: 84938999023     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.05.023     Document Type: Article

References (173)

1. Adam E., Mutanga O., Rugege D. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review. Wetlands Ecology and Management 2010, 18:281-296.
2. Alsdorf D., Melack J., Dunne T., Mertes L., Hess L., Smith C. Interferometric radar measurements of water level changes on the Amazon flood plain. Nature 2000, 404:174-177.
3. Amarnath G. An algorithm for rapid flood inundation mapping from optical data using a reflectance differencing technique. Journal of Flood Risk Management 2014, 7:239-250.
4. Ampe E., Hestir E., Bresciani M., Savadore E., Brando V., Dekker A., et al. A wavelet approach for estimating chlorophyll-a from inland waters with reflectance spectroscopy. IEEE Geoscience and Remote Sensing Letters 2014, 11:89-93.
5. Anderson D., Glibert P., Burkholder J. Harmful algal blooms and eutrophication: Nutrient sources, composition, and consequences. Estuaries 2002, 25:704-726.
6. Andrew M.E., Ustin S.L. Effects of microtopography and hydrology on phenology of an invasive herb. Ecography 2009, 32:860-870.
7. Artigas F., Yang J. Hyperspectral remote sensing of marsh species and plant vigour gradient in the New Jersey Meadowlands. International Journal of Remote Sensing 2007, 26:5209-5220.
8. Australia, Geoscience GEODATA TOPO 250K Series 2006, 3. Geoscience Australia, Canberra.
9. Aylward Bruce, et al. Freshwater ecosystem services. Ecosystems and human well-being: Policy responses 2005, 3:213-256.
10. Becker B., Lusch D., Qi J. A classification-based assessment of the optimal spectral and spatial resolutions for Great Lakes coastal wetland imagery. Remote Sensing of Environment 2007, 108:111-120.
11. Bioucas-Dias J., Plaza A., Camps-Valls G., Scheunders P., Nasrabadi N., Chanussot J. Hyperspectral remote sensing data analysis and future challenges. IEEE Geoscience and Remote Sensing Magazine 2013, 1:6-36.
12. Bjerklie D., Lawrence Dingman S., Vorosmarty C., Bolster C., Congalton R. Evaluating the potential for measuring river discharge from space. Journal of Hydrology 2003, 278:17-38.
13. Blondeau-Patissier D., Gower J., Dekker A., Phinn S., Brando V. A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans. Progress in Oceanography 2014, 123:123-144.
14. Bolpagni R., Bresciani M., Laini A., Pinardi M., Matta E., Ampe E., et al. Remote sensing of phytoplankton-macrophyte coexistence in shallow hypereutrophic fluvial lakes. Hydrobiologia 2014, 737:67-76.
15. Bowers D., Binding C. The optical properties of mineral suspended particles: A review and synthesis. Estuarine, Coastal and Shelf Science 2006, 67:219-230.
16. Brando V., Dekker A. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality. IEEE Transactions on Geoscience and Remote Sensing 2003, 41:1378-1387.
17. Bresciani M., Bolpagni R., Braga F., Oggioni A., Giardino C. Retrospective assessment of macrophytic communities in southern Lake Garda (Italy) from in situ and MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) data. Journal of Limnology 2012, 71:180-190.
18. Bresciani M., Giardino C., Longhi D., Pinardi M., Bartoli M., Vascellari M. Imaging spectrometry of productive inland waters. Application to the lakes of Mantua. Italian Journal of Remote Sensing 2009, 41:147-156.
19. Bresciani M., Rossini M., Morabito G., Matta E., Pinardi M., Cogliati S., et al. Analysis of within- and between-day chlorophyll-a dynamics in Mantua Superior Lake, with a continuous spectroradiometric measurement. Marine and Freshwater Research 2013, 64:303-316.
20. Bresciani M., Stroppiana D., Fila G., Montagna M., Giardino C. Monitoring reed vegetation in environmentally sensitive areas in Italy. European Journal of Remote Sensing 2009, 41:125-137.
21. Bresciani M., Stroppiana D., Odermatt D., Morabito G., Giardino C. Assessing remotely sensed chlorophyll-a for the implementation of the Water Framework Directive in European perialpine lakes. Science of the Total Environment 2011, 409:3083-3091.
22. Bridgham S., Moore T., Richardson C., Roulet N. Errors in greenhouse forcing and soil carbon sequestration: A comment on Mitsch et al. (2013). Landscape Ecology 2014, 29:1481-1485.
23. Brodie J., Schroeder T., Rohde K., Faithful J., Masters B., Dekker A., et al. Dispersal of suspended sediments and nutrients in the Great Barrier Reef lagoon during river-discharge events: Conclusions from satellite remote sensing and concurrent flood-plume sampling. Marine and Freshwater Research 2010, 61:651-664.
24. Buttner G., Kosztra B., Maucha G., Pataki R. Implementation and achievements of CLC2006 2012, 65. European Environment Agency, Barcelona.
25. Byrd K.B., O'Connell J.L., Di Tommaso S., Kelly M. Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation. Remote Sensing of Environment 2014, 149:166-180.
26. Carbonneau P., Piegay H. Fluvial remote sensing for science and management 2012, Wiley-Blackwell, West-Sussex, (435 pp.).
27. Carlson K., Asner G., Hughes R., Ostertag R., Martin R. Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests. Ecosystems 2007, 10:536-549.
28. Carpenter D., Carpenter S. Modeling inland water quality using Landsat data. Remote Sensing of Environment 1983, 13:345-352.
29. Carpenter S., Stanley E., Vander Zanden M. State of the world's freshwater ecosystems: Physical, chemical, and biological changes. Annual Review of Environment and Resources 2011, 36:75-99.
30. Codd G., Lindsay J., Young F., Morrison L., Metcalf J. Harmful cyanobacteria. Harmful cyanobacteria 2005, 1-23. Springer, Netherlands. J. Huisman, H.P. Matthijs, P. Visser (Eds.).
31. Cohen W., Goward S. Landsat's role in ecological applications of remote sensing. BioScience 2004, 54:535-545.
32. Coppin P., Bauer M. Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features. IEEE Transactions on Geoscience and Remote Sensing 1994, 32:918-927.
33. Crétaux J., Jelinski W., Calmant S., Kouraev A., Vuglinski V., et al. SOLS: A lake database to monitor in the near real time water level and storage variations from remote sensing data. Advances in Space Research 2011, 47:1497-1507.
34. Das P., Seshasai M. Multispectral sensor spectral resolution simulations for generation of hyperspectral vegetation indices from Hyperion data. Geocarto International 2014, 10.1080/10106049.2014.9733065.
35. Davranche A., Lefebvre G., Poulin B. Wetland monitoring using classification trees and SPOT-5 seasonal time series. Remote Sensing of Environment 2010, 114:552-562.
36. Dekker A., Brando V., Anstee J., Pinnel N., Kutser T., Hoogenboom E., et al. Imaging spectrometry of water. Imaging spectrometry. Imaging spectrometry 2001, 307-359. Springer Netherlands, Netherlands. F. Meer, S. Jong (Eds.).
37. Dekker A., Hestir E. Evaluating the feasibility of systematic inland water quality monitoring with satellite remote sensing 2012, 123. Commonwealth Scientific and Industrial Research Organization, Canberra.
38. Dekker A., Malthus T., Goddijn L. Monitoring cyanobacteria in eutrophic waters using airborne imaging spectroscopy and multispectral remote sensing systems. Proceedings of 6th Australasian Remote Sensing Conference 1992, 204-214. Australasian Remote Sensing and Photogrammetry Association, Wellington.
39. Dekker A., Malthus T., Wijen M., Seyhan E. The effect of spectral bandwidth and positioning on the spectral signature analysis of inland waters. Remote Sensing of Environment 1992, 41:211-225.
40. Dekker A., Peters S. The use of the thematic mapper for the analysis of eutrophic lakes: A case study in The Netherlands. International Journal of Remote Sensing 1993, 14:799-822.
41. Del Castillo C., Miller R. On the use of ocean color remote sensing to measure the transport of dissolved organic carbon by the Mississippi River plume. Remote Sensing of Environment 2008, 112:836-844.
42. Dennison P., Roberts D. The effects of vegetation phenology on endmember selection and species mapping in southern California chaparral. Remote Sensing of Environment 2003, 87:295-309.
43. Devred E., Turpie K., Moses W., Klemas V., Moisan T., Babin M., et al. Future retrievals of water column bio-optical properties using the hyperspectral infrared imager (HyspIRI). Remote Sensing 2013, 5:6812-6837.
44. Downing J., Prairie Y., Cole J., Duarte C., Tranvik L., Striegl R., et al. The global abundance and size distribution of lakes, ponds and impoundments. Limnology and Oceanography 2006, 5:2388-2397.
45. Doxoran D., Froidefond J., Lavender S., Castaing P. Spectral signature of highly turbid waters: Application with SPOT data to quantify suspended particulate matter concentrations. Remote Sensing of Environment 2002, 18:149-161.
46. Dronova I., Gong P., Clinton N., Wang L., Fu W., Qi S., et al. Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods. Remote Sensing of Environment 2012, 127:357-369.
47. Dronova I., Gong P., Wang L. Object-based analysis and change detection of major wetland cover types and their classification uncertainty during the low water period at Poyang Lake, China. Remote Sensing of Environment 2011, 115:3220-3236.
48. Dudgeon D., Arthington A., Gessner M., Kawabata Z.-I., Knowler D., Lévêque C., et al. Freshwater biodiversity: Importance, threats, status and conservation challenges. Biological Reviews 2006, 81:163-182.
49. Dunlop R., Cox P., Banack S., Rodgers K. The non-protein amino acid BMAA is misincorporated into human proteins in place of l-serine causing protein misfolding and aggregation. PLoS ONE 2013, 8:e75376.
50. Evans B., Lyons T., Barber P., Stone C., Hardy G. Dieback classification modelling using high-resolution digital multispectral imagery and in situ assessments of crown condition. Remote Sensing Letters 2011, 3:541-550.
51. Gao B., Goetz A. Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data. Journal of Geophysical Research 1990, 95:3549-3564.
52. Gao B., Heidebrecht K., Goetz A. Derivation of scaled surface reflectances from AVIRIS data. Remote Sensing of Environment 1993, 44:165-178.
53. Garbulsky M.F., Peñuelas J., Gamon J., Inoue Y., Filella I. The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies: A review and meta-analysis. Remote Sensing of Environment 2011, 115:281-297.
54. Giardino C., Bartoli M., Candiani G., Bresciani M., Pellegrini L. Recent changes in macrophyte colonisation patterns: An imaging spectrometry-based evaluation of southern Lake Garda (northern Italy). Journal of Applied Remote Sensing 2007, 1. (011509-011509-011517).
55. Giardino C., Brando V., Dekker A., Strömbeck N., Candiani G. Assessment of water quality in Lake Garda (Italy) using Hyperion. Remote Sensing of Environment 2007, 109:183-195.
56. Gitelson A. The peak near 700nm on reflectance spectra of algae and water: Relationships of its magnitude and position with chlorophyll concentration. International Journal of Remote Sensing 1992, 13:3367-3373.
57. Gitelson A., Dall'Olmo G., Moses W., Rundquist D., Barrow T., Fisher T., et al. A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation. Remote Sensing of Environment 2008, 112:3582-3593.
58. Gitelson A., Merzlyak M. Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll. Journal of Plant Physiology 1996, 148:494-500.
59. Gitelson A., Schalles J., Hladik C. Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study. Remote Sensing of Environment 2007, 109:464-472.
60. Gons H., Auer M., Effler S. MERIS satellite chlorophyll mapping of oligotrophic and eutrophic waters in the Laurentian Great Lakes. Remote Sensing of Environment 2008, 112:4098-4106.
61. Gons H., Hakvoort H., Peters S.M., Simis S.H. Optical detection of cyanobacterial blooms. Harmful cyanobacteria 2005, 177-199. Springer, Netherlands. J. Huisman, H.P. Matthijs, P. Visser (Eds.).
62. Green R., Eastwood M., Sarture C., Chrien T., Aronsson M., Chippendale B., et al. Imaging spectroscopy and the Airborne Visible Infrared Imaging Spectrometer (AVIRIS). Remote Sensing of Environment 1998, 65:227-248.
63. Hanjra M., Qureshi M. Global water crisis and future food security in an era of climate change. Food Policy 2010, 35:365-377.
64. Hardisky M., Gross M., Klemas V. Remote sensing of coastal wetlands. BioScience 1986, 36:453-460.
65. Henderson F., Lewis A. Radar detection of wetland ecosystems: A review. International Journal of Remote Sensing 2008, 29:5809-5835.
66. Hess L., Melack J., Novo E., Barbosa C., Gastil M. Dual-season mapping of wetland inundation and vegetation for the central Amazon basin. Remote Sensing of Environment 2003, 87:404-428.
67. Hestir E., Brando V., Campbell G., Dekker A., Malthus T. The relationship between dissolved organic matter absorption and dissolved organic carbon in reservoirs along a temperate to tropical gradient. Remote Sensing of Environment 2015, 156:395-402.
68. Hestir E., Greenberg J., Ustin S. Classification trees for aquatic vegetation community prediction from imaging spectroscopy. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2012, 5:1572-1584.
69. Hestir E., Khanna S., Andrew M., Santos M., Viers J., Greenberg J., et al. Identification of invasive vegetation using hyperspectral remote sensing in the California delta ecosystem. Remote Sensing of Environment 2008, 112:4034-4047.
70. Heumann B. Satellite remote sensing of mangrove forests: Recent advances and future opportunities. Progress in Physical Geography 2011, 35:87-108.
71. Hochberg E., Mobley C., Park Y., Goodman J., Turpie K., Gao B., et al. HyspIRI sunglint subgroup report. NASA white paper 2011, 1-72. (http://hyspiri.jpl.nasa.gov/downloads/2011_Sunglint_Report/2011_HyspIRI_Sunglint_Report_11-4.pdf).
72. Hoogenboom H., Dekker A., Althius I. Simulation of AVIRIS sensitivity for detecting chlorophyll over coastal and inland waters. Remote Sensing of Environment 1998, 65:333-340.
73. Hoogenboom H., Dekker A., De Haan J. Retrieval of chlorophyll and suspended matter from imaging spectrometry data by matrix inversion. Canadian Journal of Remote Sensing 1998, 24:144-152.
74. Hu C., Feng L., Lee Z., Davis C., Mannino A., McClain C., et al. Dynamic range and sensitivity requirements of satellite ocean color sensors: Learning from the past. Applied Optics 2012, 51:6045-6062.
75. Hunter P., Tyler A., Willby N., Gilvear D. The spatial dynamics of vertical migration by Microcystis aeruginosa in a eutrophic shallow lake: A case study using high spatial resolution time-series airborne remote sensing. Limnology and Oceanography 2008, 53:2391-2406.
76. Itten K., Dell'Endice F., Hueni A., Kneubühler M., Schläpfer D., Odermatt D., et al. APEX - The hyperspectral ESA airborne prism experiment. Sensors 2008, 8:6235-6259.
77. Khanna S., Santos M., Hestir E., Ustin S. Plant community dynamics relative to the changing distribution of a highly invasive species, Eichhornia crassipes: A remote sensing perspective. Biological Invasions 2012, 14:717-733.
78. Khanna S., Santos M., Ustin S., Haverkamp P. An integrated approach to a biophysiologically based classification of floating aquatic macrophytes. International Journal of Remote Sensing 2011, 32:1067-1094.
79. Klemas V. Remote sensing of wetlands: Case studies comparing practical techniques. Journal of Coastal Research 2011, 27:418-427.
80. Klemas V. Remote sensing of emergent and submerged wetlands: An overview. International Journal of Remote Sensing 2013, 34:6286-6320.
81. Klemas V. Using remote sensing to select and monitor wetland restoration sites: An overview. Journal of Coastal Research 2013, 29:958-970.
82. Klemas V. Remote sensing of riparian and wetland buffers: An overview. Journal of Coastal Research 2014, 30:869-880.
83. Kutser T. Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters. International Journal of Remote Sensing 2009, 30:4401-4425.
84. Kutser T., Herlevi A., Kallio K., Arst H. A hyperspectral model for interpretation of passive optical remote sensing data from turbid lakes. Science of the Total Environment 2001, 268:47-58.
85. Kutser T., Metsamaa L., Strömbeck N., Vahtmäe E. Monitoring cyanobacterial blooms by satellite remote sensing. Estuarine, Coastal and Shelf Science 2006, 67:303-312.
86. Kutser T., Pierson D., Tranvik L., Reinart A., Sobek S., Kallio K. Using satellite remote sensing to estimate the colored dissolved organic matter absorption coefficient in lakes. Ecosystems 2005, 8:709-720.
87. Kutser T., Vahtmäe E., Praks J. A sun glint correction method for hyperspectral imagery containing areas with non-negligible water leaving NIR signal. Remote Sensing of Environment 2009, 113:2267-2274.
88. LaCapra V., Melack J., Gastil M., Valeriano D. Remote sensing of foliar chemistry of inundated rice with imaging spectrometry. Remote Sensing of Environment 1996, 55:50-58.
89. Le C., Hu C., Cannizzaro J., English D., Muller-Karger F., Lee Z. Evaluation of chlorophyll-a remote sensing algorithms for an optically complex estuary. Remote Sensing of Environment 2013, 129:75-89.
90. Lee Z., Carder K., Arnone R., He M. Determination of primary spectral bands for remote sensing of aquatic environments. Sensors 2007, 7:3428-3441.
91. Lee Z., Shang S., Hu C., Zibordi G. Spectral interdependence of remote-sensing reflectance and its implications on the design of ocean color satellites. Applied Optics 2014, 53:3301-3310.
92. Legleiter C., Roberts D. Effects of channel morphology and sensor spatial resolution on image-derived depth estimates. Remote Sensing of Environment 2005, 95:231-247.
93. Legleiter C., Roberts D. A forward image model for passive optical remote sensing of river bathymetry. Remote Sensing of Environment 2009, 113:1025-1045.
94. Legleiter C., Roberts D., Marcus W., Fonstad M. Optical remote sensing of river channel morphology and in-stream habitat: Physical basis and feasibility. Remote Sensing of Environment 2004, 93:493-510.
95. Lindell T., Pierson D., Premazzi G., Zilioli E. Manual for monitoring European lakes using remote sensing techniques. EUR Report n. 18665 EN 1999, Office for Official Publications of the European Communities, Luxembourg.
96. Liu X., Zhang Y., Yin Y., Wang M., Qin B. Wind and submerged aquatic vegetation influence bio-optical properties in large shallow Lake Taihu, China. Journal of Geophysical Research, Biogeosciences 2013, 118:713-727.
97. Lulla K. The Landsat satellites and selected aspects of physical geography. Progress in Physical Geography 1983, 7:1-45.
98. Mackay A., Davidson T., Wolski P., Woodward S., Mazebedi R., Masamba W., et al. Diatom sensitivity to hydrological and nutrient variability in a subtropical, flood-pulse wetland. Ecohydrology 2012, 5:491-502.
99. Matthews M. A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. International Journal of Remote Sensing 2011, 32:6855-6899.
100. McCullough I., Loftin C., Sader S. High-frequency remote monitoring of large lakes with MODIS 500m imagery. Remote Sensing of Environment 2012, 124:234-241.
101. McFeeters S. The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing 1996, 17:1425-1432.
102. Meerhoff M., Mazzeo N., Moss B., Rodríguez-Gallego L. The structuring role of free-floating versus submerged plants in a subtropical shallow lake. Aquatic Ecology 2003, 37:377-391.
103. Melack J. Remote sensing of tropical wetlands. Remote sensing for natural resources management and environmental monitoring 2004, Vol. 4:319-343. Wiley, New York. S. Ustin (Ed.).
104. Mercury M., Green R., Hook S., Oaida B., Wu W., Gunderson A., et al. Global cloud cover for assessment of optical satellite observation opportunities: A HyspIRI case study. Remote Sensing of Environment 2012, 126:62-71.
105. Mertes L. Remote sensing of riverine landscapes. Freshwater Biology 2002, 47:799-816.
106. Mertes L., Warrick J. Measuring flood output from 110 coastal watersheds in California with field measurements and SeaWiFS. Geology 2001, 29:659-662.
107. Mitsch W., Bernal B., Nahlik A., Mander Ü., Zhang L., Anderson C., et al. Wetlands, carbon and climate change. Landscape Ecology 2013, 28:583-597.
108. Mouw C., Greb S., Aurin D., DiGiacomo P., Lee Z., Twardowski M., et al. Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions. Remote Sensing of Environment 2015, 160:15-30.
109. Muller E., DÉCamps H., Dobson M. Contribution of space remote sensing to river studies. Freshwater Biology 1993, 29:301-312.
110. Munyati C. Wetland change detection on the Kafue Flats, Zambia, by classification of a multitemporal remote sensing image dataset. International Journal of Remote Sensing 2000, 21:1787-1806.
111. Nair A., Sathyendranath S., Platt T., Morales J., Stuart V., Forget M., et al. Remote sensing of phytoplankton functional types. Remote Sensing of Environment 2008, 112:3366-3375.
112. National Research Council Earth science and applications from space: National imperatives for the next decade and beyond 2007, The National Academic Press, Washington, D.C.
113. Nelson S., Soranno P., Cheruvelil K., Batzli S., Skole D. Regional assessment of lake water clarity using satellite remote sensing. Journal of Limnology 2003, 62:27-32.
114. Odermatt D., Gitelson A., Brando V., Schaepman M. Review of constituent retrieval in optically deep and complex waters from satellite imagery. Remote Sensing of Environment 2012, 118:116-126.
115. Ogashawara I., Mishra D., Mishra S., Curtarelli M., Stech J. A performance review of reflectance based algorithms for predicting phycocyanin concentrations in inland waters. Remote Sensing 2013, 5:4774-4798.
116. Olmanson L., Brezonik P., Bauer M. Geospatial and temporal analysis of a 20-year record of Landsat-based water clarity in Minnesota's 10,000 lakes. Journal of the American Water Resources Association 2014, 50:748-761.
117. O'Reilly J., Maritorena S., Mitchell B., Siegel D., Carder K., Garver S., et al. Ocean color chlorophyll algorithms for SeaWiFS. Journal of Geophysical Research, Oceans 1998, 103:24937-24953.
118. Ozesmi S., Bauer M. Satellite remote sensing of wetlands. Wetlands Ecology and Management 2002, 10:381-402.
119. Paerl H. Nutrient and other environmental controls of harmful cyanobacterial blooms along the freshwater-marine continuum. Cyanobacterial harmful algal blooms: State of the science and research needs 2008, 217-237. Springer, New York. H.K. Hudnell (Ed.).
120. Peñuelas J., Gamon J.A., Griffin K., Field C. Assessing community type, plant biomass, pigment composition, and photosynthetic efficiency of aquatic vegetation from spectral reflectance. Remote Sensing of Environment 1993, 46:110-118.
121. Pierson D., Strömbeck N. Estimation of radiance reflectance and the concentrations of optically active substances in Lake Mälaren, Sweden, based on direct and inverse solutions of a simple model. Science of the Total Environment 2001, 268:171-188.
122. Pinardi M., Bartoli M., Longhi D., Viaroli P. Net autotrophy in a fluvial lake: The relative role of phytoplankton and floating-leaved macrophytes. Aquatic Sciences 2011, 73:389-403.
123. Poulin B., Davranche A., Lefebvre G. Ecological assessment of Phragmites australis wetlands using multi-season SPOT-5 scenes. Remote Sensing of Environment 2010, 114:1602-1609.
124. Prigent C., Matthews E., Aires F., Rossow W. Remote sensing of global wetland dynamics with multiple satellite data sets. Geophysical Research Letters 2001, 28:4631-4634.
125. Ramsey E., Rangoonwala A. Remote sensing of wetland vegetation focusing on hyperspectral mapping. Hyperspectral remote sensing of vegetation 2011, 487-512. CRC Press, Boca Raton. P. Thenkabail, D. Lyon, A. Huete (Eds.).
126. Raymond P., Hartmann J., Lauerwald R., Sobek S., McDonald C., Hoover M., et al. Global carbon dioxide emissions from inland waters. Nature 2013, 503:355-359.
127. Rebelo L., Finlayson C., Nagabhatla N. Remote sensing and GIS for wetland inventory, mapping and change analysis. Journal of Environmental Management 2009, 90:2144-2153.
128. Reynolds C., Oliver R., Walsby A. Cyanobacterial dominance: The role of buoyancy regulation in dynamic lake environments. New Zealand Journal of Marine and Freshwater Research 1987, 21:379-390.
129. Richardson A., Duigan S., Berlyn G. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist 2002, 153:185-194.
130. Richter R., Schläpfer D. Atmospheric/topographic correction for satellite imagery 2011, 202. DLR, Wessling, Germany.
131. Rocchini D., Balkenhol N., Carter G., Foody G., Gillespie T., He K., et al. Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges. Ecological Informatics 2010, 5:318-329.
132. Rosso P., Ustin S., Hastings A. Mapping marshland vegetation of San Francisco Bay, California, using hyperspectral data. International Journal of Remote Sensing 2005, 26:5169-5191.
133. Rundquist D., Narumalani S., Narayanan R. A review of wetlands remote sensing and defining new considerations. Remote Sensing Reviews 2001, 20:207-226.
134. Santos M., Anderson L., Ustin S. Effects of invasive species on plant communities: An example using submersed aquatic plants at the regional scale. Biological Invasions 2011, 13:443-457.
135. Santos M., Hestir E., Khanna S., Ustin S. Image spectroscopy and stable isotopes elucidate functional dissimilarity between native and nonnative plant species in the aquatic environment. New Phytologist 2012, 193:683-695.
136. Santos M., Khanna S., Hestir E., Andrew M., Rajapakse S., Greenberg J., et al. Use of hyperspectral remote sensing to evaluate efficacy of aquatic plant management. Invasive Plant Science and Management 2009, 2:216-229.
137. Schaeffer B., Schaeffer K., Keith D., Lunetta R., Conmy R., Gould R. Barriers to adopting satellite remote sensing for water quality management. International Journal of Remote Sensing 2013, 34:7534-7544.
138. Schaepman M., Ustin S., Plaza A., Painter T., Verrelst J., Liang S. Earth system science related imaging spectroscopy-An assessment. Remote Sensing of Environment 2009, 113(Supplement 1):S123-S137.
139. Schmidt K., Skidmore A. Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment 2003, 85:92-108.
140. Siegel D., Maritorena S., Nelson N., Behrenfeld M., McClain C. Colored dissolved organic matter and its influence on the satellite-based characterization of the ocean biosphere. Geophysical Research Letters 2005, 32:L20605.
141. Silva T., Costa M., Melack J. Spatio-temporal variability of macrophyte cover and productivity in the eastern Amazon floodplain: A remote sensing approach. Remote Sensing of Environment 2010, 114:1998-2010.
142. Silva T., Costa M., Melack J., Novo E. Remote sensing of aquatic vegetation: Theory and applications. Environmental Monitoring and Assessment 2008, 140:131-145.
143. Simis S., Peters S., Gons H. Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water. Limnology and Oceanography 2005, 50:237-245.
144. Sims D., Gamon J. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment 2002, 81:337-354.
145. 2O and ecosystem respiration in wetlands in the Sanjiang Plain, Northeastern China. Global Change Biology 2009, 15:692-705.
146. Stendera S., Adrian R., Bonada N., Cañedo-Argüelles M., Hugueny B., Januschke K., et al. Drivers and stressors of freshwater biodiversity patterns across different ecosystems and scales: A review. Hydrobiologia 2012, 696:1-28.
147. Stomp M., Huisman J., de Jongh F., Veraart A., Gerla D., Rijkeboer M., et al. Adaptive divergence in pigment composition promotes phytoplankton biodiversity. Nature 2004, 432:104-107.
148. Striebel M., Behl S., Diehl S., Stibor H. Spectral niche complementarity and carbon dynamics in pelagic ecosystems. The American Naturalist 2009, 174:141-147.
149. Strong A. Remote sensing of algal blooms by aircraft and satellite in Lake Erie and Utah Lake. Remote Sensing of Environment 1974, 3:99-107.
150. Strozzi T., Wiesmann A., Kääb A., Joshi S., Mool P. Glacial lake mapping with very high resolution satellite SAR data. Natural Hazards and Earth System Science 2012, 12:2487-2498.
151. Thiemann S., Kaufmann H. Lake water quality monitoring using hyperspectral airborne data-A semiempirical multisensor and multitemporal approach for the Mecklenburg Lake District, Germany. Remote Sensing of Environment 2002, 81:228-237.
152. Thompson D., Gao B., Green R., Roberts D., Dennison P., Lundeen S. Atmospheric correction for global mapping spectroscopy: ATREM advances for the HyspIRI preparatory campaign. Remote Sensing of Environment 2015, 167:64-77.
153. Tranvik L., Downing J., Cotner J., Loiselle S., Striegle R., Ballatore T., et al. Lakes and reservoirs as regulators of carbon cycling and climate. Limnology and Oceanography 2009, 54:2298-2314.
154. Turpie K. Explaining the spectral red-edge features of inundated marsh vegetation. Journal of Coastal Research 2013, 29:1111-1117.
155. Underwood E., Mulitsch M., Greenberg J., Whiting M., Ustin S., Kefauver S. Mapping invasive aquatic vegetation in the Sacramento-San Joaquin delta using hyperspectral imagery. Environmental Monitoring and Assessment 2006, 121:47-64.
156. Ustin S. Remote sensing of canopy chemistry. Proceedings of the National Academy of Sciences 2013, 110:804-805.
157. Ustin S., Gamon J. Remote sensing of plant functional types. New Phytologist 2010, 186:795-816.
158. Ustin S., Gitelson A., Jacquemoud S., Schaepman M., Asner G., Gamon J., et al. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sensing of Environment 2009, 113(Supplement 1):S67-S77.
159. Ustin S., Roberts D., Gamon J., Asner G., Green R. Using imaging spectroscopy to study ecosystem processes and properties. BioScience 2004, 54:523-534.
160. Vanderbilt V.C., Khanna S., Ustin S.L. Impact of pixel size on mapping surface water in subsolar imagery. Remote Sensing of Environment 2007, 109:1-9.
161. Vanderstukken M., Declerck S., Decaestecker E., Muylaert K. Long-term allelopathic control of phytoplankton by the submerged macrophyte Elodea nuttallii. Freshwater Biology 2014, 59:930-941.
162. Vanhellemont Q., Ruddick K. Turbid wakes associated with offshore wind turbines observed with Landsat 8. Remote Sensing of Environment 2014, 145:105-115.
163. Villa P., Bresciani M., Braga F., Bolpagni R. Comparative assessment of broadband vegetation indices over aquatic vegetation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2014, 7:3117-3127.
164. Villa P., Laini A., Bresciani M., Bolpagni R. A remote sensing approach to monitor the conservation status of lacustrine Phragmites australis beds. Wetlands Ecology and Management 2013, 21:399-416.
165. Villa P., Mousivand A., Bresciani M. Aquatic vegetation indices assessment through radiative transfer modeling and linear mixture simulation. International Journal of Applied Earth Observation and Geoinformation 2014, 30:113-127.
166. Vincent R., Qin X., McKay R., Miner J., Czajkowski K., Savino J., et al. Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie. Remote Sensing of Environment 2004, 89:381-392.
167. Wettle M., Brando V., Dekker A. A methodology for retrieval of environmental noise equivalent spectra applied to four Hyperion scenes of the same tropical coral reef. Remote Sensing of Environment 2004, 93:188-197.
168. Wickland D. Future directions for remote sensing in terrestrial ecological research. Theory and applications of optical remote sensing 1989, 752. Wiley, New York. G. Asrar (Ed.).
169. Woodward G., Perkins D., Brown L. Climate change and freshwater ecosystems: Impacts across multiple levels of organization. Philosophical Transactions of the Royal Society, B: Biological Sciences 2010, 365:2093-2106.
170. Wulder M., Masek J., Cohen W., Loveland T., Woodcock C. Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment 2012, 122:2-10.
171. Zhou L., Zhou G. Measurement and modelling of evapotranspiration over a reed (Phragmites australis) marsh in Northeast China. Journal of Hydrology 2009, 372:41-47.
172. Zhu W., Yu Q., Tian Y., Becker B., Zheng T., Carrick H. An assessment of remote sensing algorithms for colored dissolved organic matter in complex freshwater environments. Remote Sensing of Environment 2014, 140:766-778.
173. Zomer R., Trabucco A., Ustin S. Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing. Journal of Environmental Management 2009, 90:2170-2177.