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

Plant species discrimination using remote sensing is generally limited by the similarity of their reflectance spectra in the visible, NIR and SWIR domains. Laboratory measured emissivity spectra in the mid infrared (MIR; 2.5μm–6μm) and the thermal infrared (TIR; 8μm–14μm) domain of different plant s...

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Veröffentlicht in:	Remote sensing of environment Jg. 118; H. 4; S. 95 - 102
Hauptverfasser:	Ullah, Saleem, Schlerf, Martin, Skidmore, Andrew K., Hecker, Christoph
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Elsevier Inc 15.03.2012 Elsevier
Schlagworte:	analysis of variance Animal, plant and microbial ecology ANOVA Applied geophysics Biological and medical sciences biomass estimation classification discrimination Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques hyperspectral data imagery indexes Internal geophysics J–M distance Kirchhoff law leaves plant communities reflectance remote sensing salt-marsh vegetation Spectral emissivity Spectral separability spectroscopy Teledetection and vegetation maps Tukey HSD wavelengths Spectral emissivity J–M distance ANOVA Tukey HSD Kirchhoff law Spectral separability differentiation Spectral band Similarity variance analysis measurement sensor Laboratory Mid infrared radiation Result Reflection spectrum plants discrimination Thermal phenomenon Species Distance wavelength waves Laboratory study histograms J-M distance remote sensing Emissivity Hyperspectral characteristic One way analysis of variance
ISSN:	0034-4257, 1879-0704
Online-Zugang:	Volltext
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