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首页> 外文期刊>Journal of Turfgrass Management >Utilization of remotely sensed data to map and evaluate turfgrass stress associated with drought.
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Utilization of remotely sensed data to map and evaluate turfgrass stress associated with drought.

机译：利用遥感数据绘制和评估与干旱相关的草皮草应力。

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Research was conducted in Las Vegas, Nevada to assess the suitability of using multispectral scanner data to evaluate turfgrass stress associated with irrigation management. Monarch tall fescue (Festuca arundinacea) was irrigated to give three different leaching fractions (LF = 0.05, 0.15, 0.25) and three different application uniformity coefficients (UC = 0.65, 0.75, 0.85). Each research plot was equipped with a lysimeter that allowed maintenance of a complete hydrologic balance for quantifying evapotranspiration (ETa) and scheduling irrigations based on established LFs. Canopy temperatures (solar noon) and tissue moisture contents were measured on a 5 X 5 grid within each plot to coincide with remote sensing data acquired on 28 July 1994. Biomass was estimated from a weekly cutting (5.08 cm cutting height) taken on both the lysimeter and whole plots. A two way ANOVA indicated that average normalized difference vegetation index (NDVI) values varied with UC. Average NDVI values did not vary withLF but there was a significant interaction between UC and LF on average NDVI values. Average NDVI values for each plot were cross correlated with biomass, canopy temperature, tissue moisture content, and ETa/ETo. Kriging was performed on 5 X 5 data setsof NDVI, canopy temperature, soil matric potential and tissue moisture content, for the most stressed turfgrass plot, to determine similarities in spatial structure as influenced by low uniformity and low leaching. The resulting isopleths indicated a similar shape for all 4 parameters. These results thus suggest that high spatial resolution (1 m) multispectral data could provide NDVI values to assess turfgrass health on a microscale within large irrigated areas as influenced by the irrigation system andmanagement practices.
机译：研究在内华达州拉斯维加斯进行，以评估使用多光谱扫描仪数据评估与灌溉管理相关的草坪草压力的适宜性。灌溉君主高羊茅（Festuca arundinacea），以得到三种不同的浸出率（LF = 0.05、0.15、0.25）和三种不同的施用均匀性系数（UC = 0.65、0.75、0.85）。每个研究区都配备了溶渗仪，可以维持完整的水文平衡，以量化蒸散量（ETa）并根据已建立的LF安排灌溉时间。在1994年7月28日采集的遥感数据中，在每个样地的5×5网格上测量了冠层温度（太阳正午）和组织含水量。蒸渗仪和整个图。双向方差分析表明，平均归一化植被指数（NDVI）值随UC而变化。平均NDVI值不随LF的变化而变化，但UC和LF之间在平均NDVI值上存在显着的相互作用。每个样地的平均NDVI值与生物量，冠层温度，组织含水量和ETa / ETo相关。对应力最大的草坪草图，对NDVI，冠层温度，土壤基质势和组织水分含量的5 X 5数据集进行了克里金法，以确定受低均匀度和低浸出影响的空间结构的相似性。对于所有4个参数，所得的等值线均表示相似的形状。因此，这些结果表明，受灌溉系统和管理实践的影响，高空间分辨率（1 m）的多光谱数据可以提供NDVI值，以在大型灌溉区域内的微观尺度上评估草坪草的健康状况。

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