Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
复制标题
DOI：
10.1007/s00271-012-0382-9
复制
发表时间：
2012-11-01
影响因子：
3
通讯作者：
Tardaguila, Javier
中科院分区：
文献类型：
--
作者：
Baluja, Javier;Diago, Maria P.;Tardaguila, Javier
本研究的目的是评估商业雨养丹魄葡萄园（葡萄属葡萄L.）通过使用无人驾驶飞行器（UAV）的热成像和多光谱成像。测定了从图像导出的空气温度或指数与叶片气孔导度（g（s））和茎水势（I-stem）之间的关系。气温与g（s）（R（2）= 0.68，p < 0.01）和I-茎（R（2）= 0.50，p < 0.05）呈显著正相关。此外，从航空图像获得的热指数也与I-stem和g（s）有很强的相关性。此外，不同的光谱指数与葡萄园的水分状况，虽然NDVI，（归一化植被指数）和TCARI/OSAVI（转换的叶绿素吸收反射率和优化的土壤调节植被指数之间的比率）显示出最高的决定系数，其中I-茎（R（2）= 0.68，p < 0.05）和g（s）（R（2）= 0.84，p < 0.05）。虽然与热成像和水状况参数的关系可以被视为短期响应，但NDVI和TCARI/OSAVI指数可能反映了累积缺水的结果，因此是长期响应。总之，使用无人机的热成像和多光谱成像可以评估和绘制葡萄园内水分状况的空间变异性。
The goal of this study was to assess the water status variability of a commercial rain-fed Tempranillo vineyard (Vitis vinifera L.) by thermal and multispectral imagery using an unmanned aerial vehicle (UAV). The relationships between aerial temperatures or indices derived from the imagery and leaf stomatal conductance (g (s)) and stem water potential (I-stem) were determined. Aerial temperature was significantly correlated with g (s) (R (2) = 0.68, p < 0.01) and I-stem (R (2) = 0.50, p < 0.05). Furthermore, the thermal indices derived from aerial imagery were also strongly correlated with I-stem and g (s). Moreover, different spectral indices were related to vineyard water status, although NDVI (normalized difference vegetation index) and TCARI/OSAVI (ratio between transformed chlorophyll absorption in reflectance and optimized soil-adjusted vegetation index) showed the highest coefficient of determination with I-stem (R (2) = 0.68, p < 0.05) and g (s) (R (2) = 0.84, p < 0.05), respectively. While the relationship with thermal imagery and water status parameters could be considered as a short-term response, NDVI and TCARI/OSAVI indices were probably reflecting the result of cumulative water deficits, hence a long-term response. In conclusion, thermal and multispectral imagery using an UAV allowed assessing and mapping spatial variability of water status within the vineyard.