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

REMOTE SENSING OF ENVIRONMENT

卷:118

Article

Ullah, Saleem^1,2  Schlerf, Martin^1,3  Skidmore, Andrew K.¹  Hecker, Christoph¹ 

[1] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands

[2] Natl Univ Sci & Technol, Inst Geog Informat Syst IGIS, Sect H 12, Islamabad, Pakistan

[3] Ctr Res Publ Gabriel Lippmann CRPGL, L-4422 Belvaux, Luxembourg

关键词: Spectral emissivity;    J-M distance;    ANOVA;    Tukey HSD;    Spectral separability;    Kirchhoff law;   

DOI  :  10.1016/j.rse.2011.11.008

来源: Elsevier

【 摘 要 】

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; 2.5 mu m-6 mu m) and the thermal infrared (TIR; 8 mu m-14 mu m) domain of different plant species, however, reveal significant differences. It is anticipated that with the advances in airborne and space borne hyperspectral thermal sensors, differentiation between plant species may improve. The laboratory emissivity spectra of thirteen common broad leaved species, comprising 3024 spectral bands in the MIR and TIR, were analyzed. For each wavelength the differences between the species were tested for significance using the one way analysis of variance (ANOVA) with the post-hoc Tukey HSD test. The emissivity spectra of the analyzed species were found to be statistically different at various wavebands. Subsequently, six spectral bands were selected (based on the histogram of separable pairs of species for each waveband) to quantify the separability between each species pair based on the Jefferies Matusita GM) distance. Out of 78 combinations, 76 pairs had a significantly different JM distance. This means that careful selection of hyperspectral bands in the MIR and TIR (2.5 mu m-14 mu m) results in reliable species discrimination. (C) 2011 Elsevier Inc. All rights reserved.

【 授权许可】

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