Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots.
Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots.
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DOI：
10.3390/s8053557
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发表时间：
2008-05-26
期刊：
影响因子：
--
通讯作者：
Baret F
中科院分区：
文献类型：
--
作者：
Lelong CC;Burger P;Jubelin G;Roux B;Labbé S;Baret F
本文概述了轻型无人机（UAV）如何在精准农业的遥感中应用。它重点关注简单的数码摄影相机与光谱滤镜的结合，这种结合旨在提供可见光和近红外波段的多光谱图像。2005年，这些仪器被安装在动力滑翔机和降落伞上，并在作物生长季节的六个不同日期进行飞行。我们监测了在法国西南部试验小区种植的十个小麦品种。在每个日期，我们获取了对应蓝色、绿色、红色和近红外四个光谱波段的多个视图。然后我们对图像的暗角、几何畸变和辐射双向效应进行了精确校正。之后，我们为每个试验小区推导出了几个与植被分析相关的植被指数。最后，我们寻找这些指数与实地测量的生物物理参数之间的关系，包括通用关系和特定日期的关系。因此，我们一方面在叶面积指数和归一化植被指数（NDVI）之间，另一方面在氮吸收量和绿度归一化植被指数（GNDVI）之间建立了一种稳健且稳定的通用关系。由于数据中存在大量噪声，无法针对每个日期独立获得更精确的模型。一项验证方案表明，在使用这些关系时，我们可以预期生物物理参数估计的精度水平为15%。
This paper outlines how light Unmanned Aerial Vehicles (UAV) can be used in remote sensing for precision farming. It focuses on the combination of simple digital photographic cameras with spectral filters, designed to provide multispectral images in the visible and near-infrared domains. In 2005, these instruments were fitted to powered glider and parachute, and flown at six dates staggered over the crop season. We monitored ten varieties of wheat, grown in trial micro-plots in the South-West of France. For each date, we acquired multiple views in four spectral bands corresponding to blue, green, red, and near-infrared. We then performed accurate corrections of image vignetting, geometric distortions, and radiometric bidirectional effects. Afterwards, we derived for each experimental micro-plot several vegetation indexes relevant for vegetation analyses. Finally, we sought relationships between these indexes and field-measured biophysical parameters, both generic and date-specific. Therefore, we established a robust and stable generic relationship between, in one hand, leaf area index and NDVI and, in the other hand, nitrogen uptake and GNDVI. Due to a high amount of noise in the data, it was not possible to obtain a more accurate model for each date independently. A validation protocol showed that we could expect a precision level of 15% in the biophysical parameters estimation while using these relationships.
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影响因子：
8.2
作者：
GOSHTASBY, A
通讯作者：
GOSHTASBY, A
影响因子：
5.2
作者：
Houles, Vianney;Guerif, Martine;Mary, Bruno
通讯作者：
Mary, Bruno
影响因子：
20.6
作者：
Beard, Randal W.;McLain, Timothy W.;Johanson, David
通讯作者：
Johanson, David
影响因子：
1.3
作者：
FAHNESTOCK, JD;SCHOWENGERDT, RA
通讯作者：
SCHOWENGERDT, RA
影响因子：
1.8
作者：
Hailey, TI
通讯作者：
Hailey, TI