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首页> 外文期刊>Agronomy Journal >Continuous monitoring of crop reflectance, vegetation fraction, and identification of developmental stages using a four band radiometer.
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Continuous monitoring of crop reflectance, vegetation fraction, and identification of developmental stages using a four band radiometer.

机译:使用四波段辐射计连续监测作物的反射率,植被比例并确定发育阶段。

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摘要

Real-time monitoring of crop vegetation fraction and identification of development stages provides useful information for crop management. Using sensors at close range makes it possible to collect data with very high temporal resolution. This study used four-band radiometers with green, red, red edge, and near infrared spectral bands for daily monitoring of maize (Zea mays L.) and soybean [Glycine max (L.) Merr.] reflectance during the growing season in three fields over 3 yr. Two fields were continuous irrigated maize and the third was managed under a maize/soybean rotation. The objectives were (i) determine diurnal and seasonal temporal behavior of reflectance in two contrasting crops, maize and soybean, (ii) remotely estimate the crop developmental stage using spectral spaces and vegetation indices, and (iii) estimate vegetation fraction using spectral spaces. Diurnal reflectance behavior indicated that the median reflectance measured within 2.5 h of solar noon was reliable for examining the daily behavior of reflectance and vegetation indices. Since the information content of reflectance in different spectral bands varies over the course of a season, spectral spaces (reflectance in one band vs. reflectance in another band) were constructed and shown to be a useful tool for identifying crop developmental stages. Five distinct stages of vegetation status (soil/residue, green-up, vegetative, senescence, and soil/stover/residue) were accurately identified using the red vs. green reflectance spectral space. Vegetation fraction was estimated using spectral spaces in maize with estimation error below 0.071 and in soybean below 0.064. Thus, high temporal resolution sensors can be a reliable tool for monitoring vegetation for a variety of applicationsDigital Object Identifier http://dx.doi.org/10.2134/agronj2013.0242
机译:实时监测农作物植被比例和确定发育阶段可为农作物管理提供有用的信息。在近距离使用传感器可以以非常高的时间分辨率收集数据。这项研究使用了具有绿色,红色,红色边缘和近红外光谱带的四波段辐射计,用于在三个生长季节中每天监测玉米(Zea mays L.)和大豆[Glycine max(L.)Merr。]的反射率。超过3年的字段。两个田地是连续灌溉的玉米,第三个田地是在玉米/大豆轮作下进行管理的。目的是(i)确定玉米和大豆这两种不同作物的反射率的昼夜变化;(ii)使用光谱空间和植被指数远程估算作物的生长阶段;(iii)使用光谱空间估算植被比例。昼夜反射行为表明,在太阳正午2.5小时内测得的中值反射率可用于检查反射率和植被指数的日常行为。由于不同光谱带中反射率的信息含量随季节变化,因此光谱空间(一个波段中的反射率与另一波段中的反射率)被构建并显示为识别作物发育阶段的有用工具。利用红色与绿色反射光谱空间,可以准确地识别出植被状态的五个不同阶段(土壤/残留物,绿色,营养,衰老和土壤/秸秆/残留物)。利用光谱空间估计玉米的植被分数,估计误差低于0.071,大豆的光谱误差低于0.064。因此,高分辨率的传感器可以成为监测各种应用植被的可靠工具。数字对象标识符http://dx.doi.org/10.2134/agronj2013.0242

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