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首页> 外文期刊>GIScience & remote sensing >Comprehensive study of the biophysical parameters of agricultural crops based on assessing Landsat 8 OLI and Landsat 7 ETM+ vegetation indices
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Comprehensive study of the biophysical parameters of agricultural crops based on assessing Landsat 8 OLI and Landsat 7 ETM+ vegetation indices

机译：通过评估Landsat 8 OLI和Landsat 7 ETM +植被指数综合研究农作物的生物物理参数

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For three agricultural crop types, winter wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), and canola (Brassica napus L.), we estimated biophysical parameters including fresh and dry biomass, leaf area index (LAI), and vegetation water content, for which we found the equivalent water thickness (EWT), fuel moisture content per fresh weight (FMCFW), and fuel moisture content per dry weight (FMCDW). We performed these estimations using data from the newly launched Landsat 8 Operational Land Imager (OLI) sensor, as well as its predecessor the Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Progress in the design of the new sensor (i.e., Landsat 8), including narrower near-infrared (NIR) wavebands, higher signal-to-noise ratio (SNR), and greater radiometric resolution highlights the necessity to investigate the biophysical parameters of agricultural crops, especially compared to data from its predecessor. This study aims to evaluate vegetation indices (VIs) derived from the Landsat 8 OLI and the Landsat 7 ETM+. Both the Landsat 8 OLI and Landsat 7 ETM+ VIs agreed well with in-situ data measurements. However, the Landsat 8 OLI-derived VIs were generally more consistent with in situ data than the Landsat 7 ETM+ VIs. We also note that the Landsat 8 OLI is better able to capture the small variability of the VIs because of its higher SNR and wider radiometric range; in addition, the saturation phenomenon occurred earlier for the Landsat 7 ETM+ than for the Landsat 8 OLI. This indicates that the new sensor is better able to estimate the biophysical parameters of crops.
机译：对于三种农作物类型，冬小麦（Triticum aestivum L.），大麦（Hordeum vulgare L.）和油菜（Brassica napus L.），我们估算了生物物理参数，包括新鲜和干燥生物量，叶面积指数（LAI）和植被含水量，我们发现了等效水厚（EWT），每鲜重燃料水分（FMCFW）和每干重燃料水分（FMCDW）。我们使用来自新推出的Landsat 8作战陆地成像仪（OLI）传感器及其前身Landsat 7增强型专题制图仪Plus（ETM +）的数据进行了这些估算。新传感器（即Landsat 8）的设计进展，包括较窄的近红外（NIR）波段，较高的信噪比（SNR）和较高的辐射分辨率，凸显了研究农业生物物理参数的必要性作物，尤其是与前辈的数据相比。这项研究旨在评估源自Landsat 8 OLI和Landsat 7 ETM +的植被指数（VIs）。 Landsat 8 OLI和Landsat 7 ETM + VI都与现场数据测量非常吻合。但是，与Landsat 7 ETM + VI相比，Landsat 8 OLI衍生的VI与现场数据的一致性更高。我们还注意到，由于Landsat 8 OLI具有更高的SNR和更宽的辐射范围，因此它能够更好地捕获VI的微小变化；此外，Landsat 7 ETM +的饱和现象比Landsat 8 OLI发生得更早。这表明新传感器能够更好地估计农作物的生物物理参数。

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