Spectral unmixing of multiple lichen species and underlying substrate

摘要: Cryptogamic covers are a wide range of photoautotrophic plants which synthesize their own food while using sunlight as an energy source. Globally, cryptogrammic such cyanobacteria, algae, fungi, lichens, and bryophytes annually uptake about 7% the net primary production terrestrial vegetation account for half annual biological nitrogen fixation. On basis these contributions to global carbon cycling, it is crucial be able accurately monitor seasonal regional patterns cryptogamic cover distribution abundance. However, lichen-encrusted rock seldom comprises 100% ground within pixel remote-sensed imagery, thereby arise challenges in lichen mapping monitoring. Here we explore spectroscopic methods spectral mixture analysis SMA overcome reflectance spectroscopy-based optical remote sensing detection characterization crustose species. One suite discrete wavelengths λ1 = {400, 470, 520, 570, 680, 800, 1080, 1120, 1200, 1300, 1470, 1670, 1750, 2132, 2198, 2232 nm} two wavelength regions λ2 = {λ: 800 nm ≤ λ ≤ 1300 nm} λ3 = {λ: 2000 nm ≤ λ ≤ 2400 nm} were investigated ability discriminate between substrate different We found that region 800–1300 nm performed best at lichen-substrate differentiation interspecial differentiation. Furthermore, measures central tendency from multiple superior most individual regions, particularly lichen-rock unmixing.