Estimation of foliar chlorophyll and nitrogen content in an ombrotrophic bog from hyperspectral data: Scaling from leaf to image

Remote Sensing of Environment

Volumn 169, Issue , 2015, Pages 270-279

  Kalacska, M ^a   Lalonde, M ^a   Moore, T R ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Airborne hyperspectral; CASI; Foliar chlorophyll; Nitrogen; Ombrotrophic bog; Peatland

Indexed keywords

CHLOROPHYLL; COMPLEX NETWORKS; FORESTRY; LANDFORMS; NITROGEN; PLANTS (BOTANY); REFLECTION; REGRESSION ANALYSIS; VEGETATION; WAVELET TRANSFORMS;

CASI; FOLIAR CHLOROPHYLL; HYPERSPECTRAL; OMBROTROPHIC BOG; PEATLAND;

WETLANDS;

AIRBORNE SENSING; ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL; ESTIMATION METHOD; FOLIAGE; LEAF; MOSS; NITROGEN; OMBROTROPHIC ENVIRONMENT; PEATLAND; REGRESSION ANALYSIS; REMOTE SENSING; SPECTRAL REFLECTANCE; VASCULAR PLANT; VEGETATION COVER; WAVELET ANALYSIS;

CHLOROPHYLLS; FORESTS; IMAGES; LEAVES; NITROGEN; PLANTS; REGRESSION ANALYSIS;

CANADA; MER BLEUE; ONTARIO [CANADA];

BRYOPHYTA; TRACHEOPHYTA;

EID: 84941560040     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.08.012     Document Type: Article

References (44)

1. Anderson G.P., Pukall B., Allred C.L., Jeong L.S., Hoke M., et al. FLAASH and MODTRAN4: state-of-the-art atmospheric correction for hyperspectral data. In, Aerospace Conference, 1999. Proceedings. 1999 IEEE 1999, 174:177-181.
2. Akumu C.E., McLaughlin J.W. Modeling peatland carbon stock in a delineated portion of the Nayshkootayaow river watershed in Far North, Ontario using an integrated GIS and remote sensing approach. Catena 2014, 121:297-306.
3. Birth G., McVey G. Measuring the Color of Growing Turf with a Reflectance Spectrophotometer. Agronomy Journal 1968, 60:640-643.
4. Blackburn G.A., Ferwerda J.G. Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis. Remote Sensing of Environment 2008, 112:1614-1632.
5. Bruce L.M., Morgan C., Larsen S. Automated detection of subpixel hyperspectral targets with continuous and discrete wavelet transforms. IEEE Transactions on Geoscience and Remote Sensing 2001, 39:2217-2226.
6. Bubier J.L., Rock B.N., Crill P.M. Spectral reflectance measurements of boreal wetland and forest mosses. Journal of Geophysical Research, [Atmospheres] 1997, 102:29483-29494.
7. Cheng T., Rivard B., Sanchez-Azofeifa G.A. Spectroscopic determination of leaf water content using continuous wavelet analysis. Remote Sensing of Environment 2011, 115:659-670.
8. Cocchi M., Seeberland R., Ulrici A. Multivariate calibration of analytical signals by WILMA (wavelet interface to linear modelling analysis). Journal of Chemometrics 2003, 17:512-527.
9. Cole B., McMorrow J., Evans M. Empirical modelling of vegetation abundance from airborne hyperspectral data for upland peatland restoration monitoring. Remote Sensing 2014, 6:716-739.
10. Cole B., McMorrow J., Evans M. Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatland. ISPRS Journal of Photogrammetry and Remote Sensing 2014, 90:49-58.
11. Colwell R.K. EstimateS: Statistical estimation of species richness and shared species from samples. Version 9 Persistent URL. http://purl.oclc.org/estimates.
12. Filella I., Peñuelas J. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. International Journal of Remote Sensing 1994, 15(7):1459-1470.
13. Flynn K.F., Chapra S.C. Remote sensing of submerged aquatic vegetation in a shallow non-turbid river using an unmanned aerial vehicle. Remote Sensing 2014, 6:12815-12836.
14. Foley S., Rivard B., Sanchez-Azofeifa G.A., Calvo J. Foliar spectral properties following leaf clipping and implications for handling techniques. Remote Sensing of Environment 2006, 103:265-275.
15. Frolking S.E., Roulet N.T. Holocene radiative forcing impact of northern peatland accumulation and methane emissions. Global Change Biology 2007, 13:1079-1088.
16. Gamon J.A., Peñuelas J., Field C.B. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 1992, 41:35-44.
17. Gitelson A., Merzlyak M.N. Quantitative estimation of chlorophyll a using reflectance spectra: Experiments with autumn chestnut and maple leaves. Journal of Photochemistry and Photobiology B: Biology 1994, 22:247-252.
18. Gitelson A.A., Kaufman Y.J., Merzlyak M.N. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment 1996, 58:289.
19. Gitelson A.A., Kaufman Y.J., Merzlyak M.N. Remote estimation of chlorophyll content in higher plant leaves. International Journal of Remote Sensing 1997, 18:2691-2697.
20. Gitelson A.A., Zur Y., Chivkunova O.B., Merzylak M.N. Assessing carotenoid content in plant leaves with reflectance spectroscopy. Photochemistry and Photobiology 2002, 75(3):272-281.
21. Harris A., Charnock R., Lucas R.M. Hyperspectral remote sensing of peatland floristic gradients. Remote Sensing of Environment 2015, 162:99-111.
22. Hiscox J.D., Isrealstram G.E. A method for the extraction of chlorophyll from leaf tissue without maceration. Canadian Journal of Botany 1979, 57:1332-1334.
23. Kalacska M., Sanchez-Azofeifa G.A., Rivard B., Caelli T., White P.A., Calvo-Alvarado J.C. Ecological fingerprinting of ecosystem succession: estimating tropical dry forest structure and diversity using imaging spectroscopy. Remote Sensing of Environment 2007, 108:82-96.
24. Kross A., Seaquist J.W., Roulet N.T., Fernandes R., Sonnentag O. Estimating carbon dioxide exchange rates at contrasting northern peatlands using MODIS satellite data. Remote Sensing of Environment 2013, 137:234-243.
25. Kurz W.A., Shaw C.H., Boisvenue C., Stinson G., Metsaranta J., Leckie D., et al. Carbon in Canada's boreal forest - A synthesis. Environmental Reviews 2013, 21:260-292.
26. Lafleur P.M., Hember R.A., Admiral S.W., Roulet N.T. Annual and seasonal variability in evapotranspiration and water table at a shrub-covered bog in southern Ontario, Canada. Hydrological Processes 2005, 19:3533-3550.
27. 2 fluxes for several plant communities in a Sphagnum-dominated peatland. Canadian Journal of Remote Sensing 2008, 34:S414-S425.
28. Loisel J., Yu Z.C., Beilman D.W., Camill P., Alm J., Amesbury M.J., et al. A database and synthesis of northern peatland soil properties and Holocene carbon and nitrogen accumulation. Holocene 2014, 24:1028-1042.
29. Lucas R., Mitchell A., Bunting P. Hyperspectral data for assessing carbon dynamics and biodiversity of forests. Hyperspectral remote sensing of tropical and sub-tropical forests 2008, 47-86. Taylor and Francis Group, Boca Raton, FL.: CRC Press. M. Kalacska, G.A. Sanchez-Azofeifa (Eds.).
30. Martin M.E., Plourde L.C., Ollinger S.V., Smith M.L., McNeil B.E. A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems. Remote Sensing of Environment 2008, 112:3511-3519.
31. Merzlyak M.N., Gitelson A.A., Chivkunova O.B., Rakitin V.Y. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiologia Plantarum 1999, 106:135-141.
32. Middleton M., Närhi P., Arkimaa H., Hyvönen E., Kuosmanen V., Treitz P., et al. Ordination and hyperspectral remote sensing approach to classify peatland biotopes along soil moisture and fertility gradients. Remote Sensing of Environment 2012, 124:596-609.
33. Nichol C.J., Grace J. Determination of leaf pigment content in Calluna vulgaris shoots from spectral reflectance. International Journal of Remote Sensing 2010, 31:5409-5422.
34. Ollinger S.V., Smith M.L. Net primary production and canopy nitrogen in a temperate forest landscape: An analysis using imaging spectroscopy, modeling and field data. Ecosystems 2005, 8:760-778.
35. Ollinger S.V., Smith M.L., Martin M.E., Hallett R.A., Goodale C.L., Aber J.D. Regional variation in foliar chemistry and N cycling among forests of diverse history and composition. Ecology 2002, 83:339-355.
36. Peñuelas J., Pinol J., Ogaya R., Filella L. Estimation of plant water concentration by the reflectance water index (R900/R970). International Journal of Remote Sensing 1997, 18(13):2869-2875.
37. Proulx R., Parrott L. Measures of structural complexity in digital images for monitoring the ecological signature of an old-growth forest ecosystem. Ecological Indicators 2008, 8:270-284.
38. Rivard B., Feng J., Gallie A., Sanchez-Azofeifa G.A. Continuous wavelets for the improved use of spectral libraries and hyperspectral data. Remote Sensing of Environment 2008, 112:2850-2862.
39. Rouse J., Haas R., Schell J., Deering D. Monitoring Vegetation Systems in the Great Plains with ERTS 1973, Third ERTS Symposium, NASA, 309-317.
40. Sims D.A., Gamon J.A. 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.
41. Smith M.-L., Ollinger S.V., Martin M.E., Aber J.D., Hallett R.A., Goodale C.L. Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen. Ecological Applications 2002, 12:1286-1302.
42. Van Gaalen K.E., Flanagan L.B., Peddle D.R. Photosynthesis, chlorophyll fluorescence and spectral reflectance in Sphagnum moss at varying water contents. Oecologia 2007, 153:19-28.
43. 4 fluxes. Biogeosciences 2014, 11:1961-1980.
44. Wu J., Roulet N.T. Climate change reduces the capacity of northern peatlands to absorb the atmospheric carbon dioxide: The different responses of bogs and fens. Global Biogeochemical Cycles 2014, 28:1005-1024.