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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring
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RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring

机译:RADARSAT-2极化SAR对作物生物量的响应,用于农业生产监测

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Agricultural production monitoring plays a key role in a variety of economic and environmental practices including crop yield forecasting, identifying risk of disease and application of chemicals. Remote sensing has the potential to provide accurate crop condition information across large areas and has the ability to deliver information products in a timely within-season manner. Synthetic aperture radar (SAR) frequencies are unaffected by most atmospheric conditions, making use of this technology of interest to crop monitoring. In this study, RADARSAT-2 polarimetric SAR responses of 21 parameters are compared with dry biomass of canola, corn, soybean, and spring wheat crops over a 6-week period for a site in western Canada. Dry biomass was targeted as this variable is a strong predictor of crop productivity. During the period of biomass accumulation, significant correlations with dry biomass were observed for most SAR parameters, for corn, canola, and soybeans. These findings are of interest as they could be used to target fungicide applications (canola) and to determine silage yields and resistance to disease (corn). For spring wheat, linear cross polarization and circular cross polarization backscatter, volume scattering and pedestal height were able to detect when wheat entered the milking stage which could prove useful as an indicator for the timing of spring wheat harvest. This study demonstrates that polarimetric SAR responds to accumulation of dry biomass, but as well that several radar parameters can uniquely identify changes in crop structure and phenology.
机译:农业生产监测在各种经济和环境实践中发挥着关键作用,包括预测作物产量,确定疾病风险和使用化学品。遥感有可能在大范围内提供准确的作物状况信息,并有能力按季节及时提供信息产品。合成孔径雷达(SAR)的频率不受大多数​​大气条件的影响,因此可以利用该技术对作物进行监测。在这项研究中,在加拿大西部的一个地点,在6周的时间内,将21个参数的RADARSAT-2极化SAR响应与低芥酸菜籽,玉米,大豆和春小麦作物的干生物量进行了比较。干燥生物质是目标,因为该变量是作物生产力的有力预测指标。在生物量积累期间,对于大多数SAR参数(玉米,低芥酸菜籽和大豆),观察到与干燥生物量具有显着相关性。这些发现令人感兴趣,因为它们可用于靶向杀菌剂(油菜籽)并确定青贮饲料的产量和对疾病的抵抗力(玉米)。对于春小麦,线性交叉极化和圆形交叉极化反向散射,体积散射和基座高度能够检测小麦何时进入挤奶阶段,这可能被用作指示春季小麦收获时间的指标。这项研究表明,极化SAR对干生物量的积累有反应,但是几个雷达参数可以唯一地识别作物结构和物候变化。

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