title: [Plant Spectral Discrimination Based on Phenological Features].
abstract: Spectral analysis plays a significant role onplant characteristic identification and mechanism recognition, there were many papers published on the aspects of absorption features in the spectra of chlorophyll and moisture, spectral analysis onvegetation red edge effect, spectra profile feature extraction, spectra profile conversion, vegetation leaf structure and chemical composition impacts on the spectra in past years. However, fewer researches issued on spectral changes caused by plant seasonal changes of life form, chlorophyll, leaf area index. This paper studied on spectral observation of 11 plants of various life form, plant leaf structure and its size, phenological characteristics, they include deciduous forest with broad vertical leaf, needle leaf evergreen forest, needle leaf deciduous forest, deciduous forest with broadflat leaf, high shrub with big leaf, high shrub with little leaf, deciduous forest with broad little leaf, short shrub, meadow, steppe and grass. Field spectral data were observed with SVC-HR768 (Spectra Vista company, USA), the band width covers 350-2 500 nm, spectral resolution reaches 1-4 nm. The features of NDVI, spectral maximum absorption depth in green band, and spectral maximum absorption depth in red band were measured after continuum removal processing, the mean, amplitude and gradient of these features on seasonal change profile were analyzed, meanwhile, separability research on plant spectral feature of growth period and maturation period were compared. The paper presents a calculation method of separability of vegetation spectra which consider feature spatial distances. This index is carried on analysis of the vegetation discrimination. The results show that: the spectral features during plant growth period are easier to distinguish than them during maturation period. With the same features comparison, plant separability of growth period is 3 points higher than it during maturation period. The overall separabilityof vegetation spectrum features shows seasonal amplitude > seasonal gradient > seasonal mean during the growth period, but the separability of seasonal gradient shows highest value for the plant seasonal NDVI change. Therefore, the features of seasonal NDVI gradient, seasonal amplitude of maximumspectral absorption depth in green band, seasonal amplitude of maximumabsorption depthin red band are effective composition for plant discrimination.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.forename: Jian-long
authors.initials: JL
authors.lastname: Zhao
authors.forename: Kun
authors.initials: K
authors.lastname: Jia
authors.forename: Xiao-song
authors.initials: XS
authors.lastname: Li
mesh_terms: D002734:Chlorophyll; D065928:Forests; D063245:Plant Development; D018515:Plant Leaves; D010944:Plants; D006109:Poaceae; D013057:Spectrum Analysis
chemical_list: D002734:Chlorophyll