Hyperspectral remote sensing of grapevine drought stress
Hyperspectral remote sensing of grapevine drought stress
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DOI：
10.1007/s11119-019-09640-2
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发表时间：
2019-02
影响因子：
6.2
通讯作者：
M. Zovko;U. Žibrat;M. Knapic;M. Kovačić;D. Romić
中科院分区：
文献类型：
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作者：
M. Zovko;U. Žibrat;M. Knapic;M. Kovačić;D. Romić
在喀斯特景观中，石质土壤的持水能力很小，因此，合理利用水进行灌溉在管理中起着重要的作用。由于持水能力不是同质的，精确农业方法将有助于更好的管理决策。这项研究是在克罗地亚达尔马提亚人工改造的喀斯特地形中种植的实验葡萄园中进行的。试验设计包括三个重复的四个水处理：（1）完全灌溉，基于100%作物蒸散量（ETc）施用（N100）;（2和（3）亏缺灌溉，基于75%和50%ETc施用（N75和N50，分别）;和（4）不灌溉（N 0）。葡萄藤的高光谱图像是在2016年夏天使用两台光谱辐射率（W sr− 1 m −2）校准的相机拍摄的，覆盖波长从409到988 nm和950到2509 nm。四个处理被分组为一个新的组，包括：（1）干旱（N 0）;（2）灌溉（其余三个处理：N100，N75和N50）。使用偏最小二乘判别分析（PLS-DA）分析图像，并且使用PLS-单向量机（PLS-SVM）对处理进行分类。PLS-SVM证明了确定葡萄藤干旱或灌溉处理水平的能力，准确率超过97%。PLS-DA确定了相关波长，这些波长与水、碳水化合物和蛋白质中的O-H、C-H和N-H延伸有关。这项研究提出了高光谱成像的适用性干旱胁迫评估葡萄，即使时间的变化需要考虑到早期检测。
In karst landscapes stony soils have little water holding capacity; the rational use of water for irrigation therefore plays an important management role. Because the water holding capacity is not homogenous, precision agriculture approaches would enable better management decisions. This research was carried out in an experimental vineyard grown in an artificially transformed karst terrain in Dalmatia, Croatia. The experimental design included four water treatments in three replicates: (1) fully irrigated, based on 100% crop evapotranspiration (ETc) application (N100); (2 and (3) deficit irrigation, based on 75% and 50% ETcapplications (N75 and N50, respectively); and (4) non-irrigated (N0). Hyperspectral images of grapevines were taken in the summer of 2016 using two spectral-radiance (W sr−1m−2) calibrated cameras, covering wavelengths from 409 to 988 nm and 950 to 2509 nm. The four treatments were grouped into a new set consisting of: (1) drought (N0); and (2) irrigated (the remaining three treatments: N100, N75, and N50). The images were analyzed using Partial Least Squares-Discriminant Analysis (PLS-DA), and treatments were classified using PLS-Single Vector Machines (PLS-SVM). PLS-SVM demonstrated the capability to determine levels of grapevine drought or irrigated treatments with an accuracy of more than 97%. PLS-DA identified relevant wavelengths, which were linked to O–H, C–H, and N–H stretches in water, carbohydrates and proteins. The study presents the applicability of hyperspectral imaging for drought stress assessment in grapevines, even though temporal variability needs to be taken into account for early detection.