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标题：Assessing the Impact of Water Salinization Stress on Biomass Yield of Cardoon Bio-Energetic Crops through Remote Sensing Techniques
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作者：Flavio Borfecchia ; Paola Crinò ; Angelo Correnti 等
期刊名称：Resources
电子版ISSN：2079-9276
出版年度：2020
卷号：9
期号：10
页码：124-150
DOI：10.3390/resources9100124
出版社：MDPI Publishing
摘要：Various species of cultivated thistle, such as Cynara cardunculus L. (cardoon), exhibit interesting features for industrial biomass production as bioenergy crops, given also their advantageous adaptation capacities to typical Mediterranean climate trends, with noticeable resilience to drought and salinization stresses. The in situ hyperspectral reflectance responses of three genotypes of cardoon plants, irrigated with water at different salinity levels, have been tested for assessing the effects on their biophysical parameters, aiming at improving the biomass yield for bioenergy production, minimizing at same time the environmental impacts and the exploitation of soils and waters resources. The leaf and canopy reflectance hyperspectral signatures, acquired at three different growth stages with biometric measurements, were statistically analyzed (ANOVA, Tukey’s test, graphs), as noise-resilient spectral indices, sensible to different plant features of interest. Their broadband versions, based on the Landsat 8 OLI and Sentinel 2 MSI satellite sensors, were also evaluated in perspective of operative and extensive remote crop monitoring from space. The results highlighted significant differences in some spectral index responses, related to different cardoon genotypes and water salt concentration. The biometric data supported by red-edge indices modelling evidenced the impact of the highest salt water concentration (200 mM/L) on the plant growth and yield.
关键词：Cynara cardunculus L; cardoon; yield and biomass; leaf/canopy hyperspectral signatures; narrow/broadband vegetation spectral indices; Landsat 8 OLI and Sentinel 2 MSI satellite HR sensors Cynara cardunculus L; cardoon ; yield and biomass ; leaf/canopy hyperspectral signatures ; narrow/broadband vegetation spectral indices ; Landsat 8 OLI and Sentinel 2 MSI satellite HR sensors