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Grape quality assessment in vineyards affected by iron deficiency chlorosis using narrow-band physiological remote sensing indices

机译:利用窄带生理遥感指数评估缺铁萎黄病影响葡萄园的葡萄品质

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The present study investigated the use of physiological indices calculated from hyperspectral remote sensing imagery as potential indicators of wine grape quality assessment in vineyards affected by iron deficiency chlorosis. Different cv. Tempranillo/110 Richter vineyards located in northern Spain, affected and non-affected by iron chlorosis, were identified for field and airborne data collection. Airborne campaigns imaged a total of 14 study areas in both 2004 and 2005 using the AHS hyperspectral sensor, which acquired 20 spectral bands in the VIS-NIR region. Field measurements were conducted in each study site to obtain leaf and grape physiological parameters potentially linked to wine quality. Simulations carried out with the rowMCRM radiative transfer model demonstrated the feasibility of estimating leaf chlorophyll a+b (C_(ab)) content using TCARI/OSAVI from AHS spectral bands. In addition to traditional structural vegetation indices (NDVI) and successful canopy-level chlorophyll indices (TCARI/OSAVI), other innovative physiological indices sensitive to changes in carotenoid (Car) and anthocyanin (Anth) content in leaves were assessed from the imagery. The rowMCRM model simulations were used to evaluate canopy structural effects on these physiological indices as a function of the typical row-structured canopy variables in vineyards (LAI, crown width, row distances, C_(ab) content and soil background effects). Modeling results concluded that Car (Gitelson-Car2) and Anth (Gitelson-Anth) indices were highly affected by canopy structure (C_w, V_s) and soil background (ρ_s). Field measurements of grape composition and quality were used to assess potential relationships with physiological indices sensitive to foliar pigment content (C_(ab), Car and Anth). NDVI and TCARI/OSAVI indices yielded lower relationships for CIRG and IMAD must quality parameters than Car and Anth physiological indices. These results suggest that the increase in carotenes and anthocyanins due to drought, thermal damage or micronutrient deficiencies is a better indicator to detect phenolic ripening difficulties for vines affected by iron chlorosis than chlorosis detection. Therefore, the potential use of physiological remote sensing indices related to carotene and anthocyanin pigments demonstrates their importance as grape quality indicators in vineyards affected by iron chlorosis.
机译:本研究调查了利用高光谱遥感影像计算出的生理指标作为受缺铁绿化影响的葡萄园中葡萄酒质量评估的潜在指标。不同的简历确定了西班牙北部的Tempranillo / 110 Richter葡萄园,这些葡萄园不受铁中毒的影响,也不受其影响,可以进行野外和空中数据收集。空运战役使用AHS高光谱传感器在2004年和2005年对总共14个研究区域成像,该传感器在VIS-NIR地区获得了20个光谱带。在每个研究地点进行了实地测量,以获得可能与葡萄酒品质有关的叶片和葡萄的生理参数。使用rowMCRM辐射传输模型进行的模拟证明了使用AHS光谱带中的TCARI / OSAVI估算叶片叶绿素a + b(C_(ab))含量的可行性。除了传统的结构植被指数(NDVI)和成功的冠层水平叶绿素指数(TCARI / OSAVI),还从图像中评估了对叶片中类胡萝卜素(Car)和花色苷(Anth)含量变化敏感的其他创新生理指标。使用rowMCRM模型模拟来评估冠层结构对这些生理指标的影响,这是葡萄园中典型的行结构冠层变量(LAI,冠宽,行距,C_(ab)含量和土壤背景效应)的函数。建模结果表明,车棚(Gitelson-Car2)和Anth(Gitelson-Anth)指数受冠层结构(C_w,V_s)和土壤背景(ρ_s)的高度影响。葡萄成分和品质的现场测量用于评估与对叶色素含量敏感的生理指标(C_(ab),Car和Anth)的潜在关系。与Car和Anth生理指标相比,NDVI和TCARI / OSAVI指数对于CIRG和IMAD必须质量参数的关系较低。这些结果表明,由干旱,热损伤或微量营养素缺乏引起的胡萝卜素和花青素的增加是检测受绿化铁影响的葡萄的酚类成熟困难的指标,胜于绿化检测。因此,与胡萝卜素和花青素色素有关的生理遥感指标的潜在用途证明了它们在受铁绿化作用影响的葡萄园中作为葡萄质量指标的重要性。

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