Identifying plant species using mid-wave infrared (2.5-6μm) and thermal infrared (8-14μm) emissivity spectra

Remote Sensing of Environment

Volumn 118, Issue , 2012, Pages 95-102

  Ullah, Saleem ^a,b   Schlerf, Martin ^a,c   Skidmore, Andrew K ^a   Hecker, Christoph ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

^c Centre Research Public Gabriel Lippmann (CRPGL)   (Luxembourg)

Author keywords

ANOVA; J M distance; Kirchhoff law; Spectral emissivity; Spectral separability; Tukey HSD

Indexed keywords

J-M DISTANCE; KIRCHHOFF LAWS; SPECTRAL EMISSIVITY; SPECTRAL SEPARABILITY; TUKEY HSD;

ELECTROMAGNETIC WAVE EMISSION; INFRARED RADIATION; REMOTE SENSING;

ANALYSIS OF VARIANCE (ANOVA);

EMISSIVITY; INFRARED RADIATION; LABORATORY METHOD; REMOTE SENSING; SIR; SPECTRAL REFLECTANCE; THERMAL INFRARED MULTISPECTRAL SCANNER; VARIANCE ANALYSIS;

EID: 83455224902     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.11.008     Document Type: Article

References (52)

1. Adam E., Mutanga O. Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry. ISPRS Journal of Photogrammetry and Remote Sensing 2009, 64:612-620.
2. Asner G.P. Biophysical and biochemical sources of variability in canopy reflectance. Remote Sensing of Environment 1998, 64:234-253.
3. Belluco E., Camuffo M., Ferrari S., Modenese L., Silvestri S., Marani A., et al. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote Sensing of Environment 2006, 105:54-67.
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. Cho M.A., Debba P., Mathieu R., Naidoo L., van Aardt J., Asner G.P. Improving discrimination of savanna tree species through a multiple-endmember spectral angle mapper approach: Canopy-level analysis. IEEE Transactions on Geoscience and Remote Sensing 2010, 48:4133-4142.
6. Clevers J., De Jong S.M., Epema G.F., Van der Meer F.D., Bakker W.H., Skidmore A.K., et al. Derivation of the red edge index using the MERIS standard band setting. International Journal of Remote Sensing 2002, 23:3169-3184.
7. Coblentz W.W. The diffuse reflecting power of various substances. Bulletin of the Bureau of Standarads 1913, 9(2):283-325.
8. Curran P.J. Remote sensing of foliar chemistry. Remote Sensing of Environment 1989, 30:271-278.
9. Elvidge C.D. Thermal infrared reflectance of dry plant materials: 2.5-20.0 [mu]m. Remote Sensing of Environment 1988, 26:265-285.
10. Fabre S., Lesaignoux A., Olioso A., Briottet X. Influence of water content on spectral reflectance of leaves in the 3-15μm domain. IEEE Geoscience and Remote Sensing Letters 2011, 8:143-147.
11. Ferwerda J.G., Skidmore A.K., Mutanga O. Nitrogen detection with hyperspectral normalized ratio indices across multiple plant species. International Journal of Remote Sensing 2005, 26:4083-4095.
12. Foody G.M., Cutler M.E.J. Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing. Journal of Biogeography 2003, 30:1053-1066.
13. French A.N., Schmugge T.J., Kustas W.P. Discrimination of senescent vegetation using thermal emissivity contrast. Remote Sensing of Environment 2000, 74:249-254.
14. Gao X., Huete A.R., Ni W.G., Miura T. Optical-biophysical relationships of vegetation spectra without background contamination. Remote Sensing of Environment 2000, 74:609-620.
15. Gates D.M., Tantraporn W. The reflectivity of deciduous trees and herbaceous plants in the infrared to 25 microns. Science 1952, 115:613-616.
16. Gerber F., Marion R., Olioso A., Jacquemoud S., da Luz B.R., Fabre S. Modeling directional-hemispherical reflectance and transmittance of fresh and dry leaves from 0.4 mu m to 5.7 mu m with the PROSPECT-VISIR model. Remote Sensing of Environment 2011, 115:404-414.
17. Hecker C., Hook S., Meijde M.v.d., Bakker W., Werff H.v.d., Wilbrink H., Ruitenbeek F.v., Smeth B.d., Meer F.v.d. Thermal infrared spectrometer for earth science remote sensing applications - instrument modifications and measurement procedures. Sensors 2011, 11:10981-10999.
18. Heredia A. Biophysical and biochemical characteristics of cutin, a plant barrier biopolymer. Biochimica et Biophysica Acta (BBA), General Subjects 2003, 1620:1-7.
19. Holloway P.J. Structure and histochemistry of plant cuticular membrane: An overview 1982, Academic Press, London, UK. D.F. Cutler, K.L. Alvin, C.E. Price (Eds.).
20. Jackson Q., Landgrebe D.A. An adaptive method for combined covariance estimation and classification. IEEE Transactions on Geoscience and Remote Sensing 2002, 40:1082-1087.
21. Judd C., Steinberg S., Shaughnessy F., Crawford G. Mapping salt marsh vegetation using aerial hyperspectral imagery and linear unmixing in Humboldt bay, California. Wetlands 2007, 27:1144-1152.
22. Kirkland L., Herr K., Keim E., Adams P., Salisbury J., Hackwell J., et al. First use of an airborne thermal infrared hyperspectral scanner for compositional mapping. Remote Sensing of Environment 2002, 80:447-459.
23. Kokaly R.F. Investigating a physical basis for spectroscopic estimates of leaf nitrogen concentration. Remote Sensing of Environment 2001, 75:153-161.
24. Kokaly R.F., Despain D.G., Clark R.N., Livo K.E. Mapping vegetation in Yellowstone National Park using spectral feature analysis of AVIRIS data. Remote Sensing of Environment 2003, 84:437-456.
25. Mutanga O., Skidmore A.K. Narrow band vegetation indices overcome the saturation problem in biomass estimation. International Journal of Remote Sensing 2004, 25:3999-4014.
26. Mutanga O., Skidmore A.K., Kumar L., Ferwerda J. Estimating tropical pasture quality at canopy level using band depth analysis with continuum removal in the visible domain. International Journal of Remote Sensing 2005, 26:1093-1108.
27. Nicodemus F.E. Directional reflectance and emissivity of an opaque surface. Applied Optics 1965, 4:767-773.
28. Pengra B.W., Johnston C.A., Loveland T.R. Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor. Remote Sensing of Environment 2007, 108:74-81.
29. Peñuelas J., Gamon J.A., Griffin K.L., Field C.B. Assessing community type, plant biomass, pigment composition, and photosynthetic efficiency of aquatic vegetation from spectral reflectance. Remote Sensing of Environment 1993, 46:110-118.
30. Pu R.L. Broadleaf species recognition with in situ hyperspectral data. International Journal of Remote Sensing 2009, 30:2759-2779.
31. Ribeiro da Luz B. Attenuated total reflectance spectroscopy of plant leaves: A tool for ecological and botanical studies. New Phytologist 2006, 172:305-318.
32. Ribeiro da Luz B., Crowley J.K. Spectral reflectance and emissivity features of broad leaf plants: Prospects for remote sensing in the thermal infrared (8.0-14.0 mu m). Remote Sensing of Environment 2007, 109:393-405.
33. Ribeiro da Luz B., Crowley J.K. Identification of plant species by using high spatial and spectral resolution thermal infrared (8.0-13.5 mu m) imagery. Remote Sensing of Environment 2010, 114:404-413.
34. Richards J.A. Remote sensing digital image analysis: An introduction 1993, Springer-Verlag, Inc., New York.
35. Rosso P.H., Ustin S.L., Hastings A. Mapping marshland vegetation of San Francisco Bay, California, using hyperspectral data. International Journal of Remote Sensing 2005, 26:5169-5191.
36. Salisbury J.W. Preliminary measurements of leaf spectral reflectance in the 8-14μm region. International Journal of Remote Sensing 1986, 7:1879-1886.
37. Salisbury J.W., Milton N.M. Thermal infrared (2.5-13.5μm) directional hemispherical reflectance of leaves. Photogrammetric Engineering and Remote Sensing 1988, 54:1301-1304.
38. Salisbury J.W., Wald A., D'Aria D.M. Thermal-infrared remote sensing and Kirchhoff's law 1. Laboratory measurements. Journal of Geophysical Research 1994, 99:11897-11911.
39. Sankaran S., Ehsani R. Visible-near infrared spectroscopy based citrus greening detection: Evaluation of spectral feature extraction techniques. Crop Protection 2011, 30:1508-1513.
40. Schlerf M., Atzberger C., Hill J., Buddenbaum H., Werner W., Schuler G. Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy. International Journal of Applied Earth Observation and Geoinformation 2010, 12:17-26.
41. Schmidt K.S., Skidmore A.K. Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment 2003, 85:92-108.
42. Schmidt K.S., Skidmore A.K., Kloosterman E.H., Van Oosten H., Kumar L., Janssen J.A.M. Mapping coastal vegetation using an expert system and hyperspectral imagery. Photogrammetric Engineering and Remote Sensing 2004, 70:703-715.
43. Shi T., Yu B., Clothiaux E.E., Braverman A.J. Daytime Arctic cloud detection based on multi-angle satellite data with case studies. Journal of the American Statistical Association 2008, 103:584-593.
44. Silverstein R.M., Webster F.X. Spectrometric identification of organic compounds 1998, John Wiley & Sons, New York, NY, USA. 6 ed.
45. Taylor D., Kent M., Coker P. Vegetation description and analysis: A practical approach. The Geographical Journal 1993, 159:237. (237).
46. Thenkabail P.S., Smith R.B., De Pauw E. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment 2000, 71:158-182.
47. Thomas V., Treitz P., Jelinski D., Miller J., Lafleur P., McCaughey J.H. Image classification of a northern peatland complex using spectral and plant community data. Remote Sensing of Environment 2003, 84:83-99.
48. Todd S.W., Hoffer R.M., Milchunas D.G. Biomass estimation on grazed and ungrazed rangelands using spectral indices. International Journal of Remote Sensing 1998, 19:427-438.
49. Ustin S.L., Xiao Q.F. Mapping successional boreal forests in interior central Alaska. International Journal of Remote Sensing 2001, 22:1779-1797.
50. Vaiphasa C., Ongsomwang S., Vaiphasa T., Skidmore A.K. Tropical mangrove species discrimination using hyperspectral data: A laboratory study. Estuarine, Coastal and Shelf Science 2005, 65:371-379.
51. Yandell B.S. Practical data analysis for designed experiments 1997, Chapman & Hall, New York.
52. Yang Y.H., Xiao Y., Segal M.R. Identifying differentially expressed genes from microarray experiments via statistic synthesis. Bioinformatics 2005, 21:1084-1093.