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Airborne multispectral and thermal remote sensing for detecting the onset of crop stress caused by multiple factors

机译:机载多光谱和热遥感技术,用于检测多种因素引起的作物胁迫的发作

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Remote sensing technology has been developed and applied to provide spatiotemporal information on crop stress for precision management. A series of multispectral images over a field planted cotton, corn and soybean were obtained by a Geospatial Systems MS4100 camera mounted on an Air Tractor 402B airplane equipped with Camera Link in a Magma converter box triggered by Terraverde Dragonfly® flight navigation and imaging control software. The field crops were intentionally stressed by applying glyphosate herbicide via aircraft and allowing it to drift near-field. Aerial multispectral images in the visible and near-infrared bands were manipulated to produce vegetation indices, which were used to quantify the onset of herbicide induced crop stress. The vegetation indices normalized difference vegetation index (NDVI) and soil adjusted vegetation index (SAVT) showed the ability to monitor crop response to herbicide-induced injury by revealing stress at different phenological stages. Two other fields were managed with irrigated versus non-irrigated treatments, and those fields were imaged with both the multispectral system and an Electrophysics PV-320T thermal imaging camera on board an Air Tractor 402B aircraft. Thermal imagery indicated water stress due to deficits in soil moisture, and a proposed method of determining crop cover percentage using thermal imagery was compared with a multispectral imaging method. Development of an image fusion scheme may be necessary to provide synergy and improve overall water stress detection ability.
机译:已经开发了遥感技术,并将其用于提供作物压力的时空信息以进行精确管理。通过将地理空间系统MS4100摄像机安装在配备有Camera Link的Air Tractor 402B飞机上,并在TerramadeDragonfly®飞行导航和成像控制软件触发下,在Geomatial Systems MS4100摄像机上获得了一系列种植棉花,玉米和大豆的多光谱图像。通过飞机施用草甘膦除草剂并使其在近地漂移,有意地给田间作物造成了压力。操纵可见光和近红外波段中的空中多光谱图像以产生植被指数,该指数用于量化除草剂引起的作物胁迫的发作。植被指数归一化差异植被指数(NDVI)和土壤调整植被指数(SAVT)显示了通过揭示不同物候阶段的胁迫来监测作物对除草剂引起的伤害的反应的能力。另外两个领域分别采用灌溉处理和非灌溉处理进行管理,并且使用多光谱系统和一台Air拖拉机402B飞机上的Electrophysics PV-320T热成像相机对这些领域进行了成像。热成像表明由于土壤水分不足而引起的水分胁迫,并将使用热成像确定作物覆盖率的方法与多光谱成像方法进行了比较。为了提供协同作用并改善总体水分胁迫检测能力,可能需要开发图像融合方案。

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