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Effects of changing rice cultural practices on C-band synthetic aperture radar backscatter using Envisat advanced synthetic aperture radar data in the Mekong River Delta

机译:使用湄公河三角洲的Envisat先进合成孔径雷达数据,改变水稻文化习俗对C波段合成孔径雷达后向散射的影响

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摘要

Changes in rice cultivation systems have been observed in the Mekong River Delta, Vietnam. Among the changes in cultural practices, the change from transplanting to direct sowing, the use of water-saving technology, and the use of high production method could have impacts on radar remote sensing methods previously developed for rice monitoring. Using Envisat (Environmental Satellite) ASAR (Advanced Synthetic Aperture Radar) data over the province of An Giang, this study showed that the radar backscattering behaviour is much different from that of the reported traditional rice. At the early stage of the season, direct sowing on fields with rough and wet soil surface provides very high backscatter values for HH (Horizontal transmit – Horizontal receive polarisation) and VV (Vertical transmit – Vertical receive polarisation) data, as a contrast compared to the very low backscatter of fields covered with water before emergence. The temporal increase of the backscatter is therefore not observed clearly over direct sowing fields. Hence, the use of the intensity temporal change as a rice classifier proposed previously may not apply. Due to the drainage that occurs during the season, HH, VV and HH/VV are not strongly related to biomass, in contrast with past results. However, HH/VV ratio could be used to derive the rice/non-rice classification algorithm for all conditions of rice fields in the test province. The mapping results using the HH/VV polarization ratio at a single date in the middle period of the rice season were assessed using statistical data at different districts in the province, where very high accuracy was found. The method can be applied to other regions, provided that the synthetic aperture radar data are acquired during the peak period of the rice season, and that few training fields provide adjusted threshold values used in the method.
机译:越南湄公河三角洲的水稻种植系统发生了变化。在文化习俗的变化中,从移植到直接播种的变化,节水技术的使用以及高产方法的使用可能会对以前为水稻监测开发的雷达遥感方法产生影响。利用安江省的Envisat(环境卫星)ASAR(高级合成孔径雷达)数据,这项研究表明,雷达的反向散射行为与报道的传统水稻有很大不同。在季节的早期,直接播种在土壤表面粗糙且潮湿的田地上,与HH(水平透射-水平接收极化)和VV(垂直透射-垂直接收极化)数据相比,反向散射值非常高出土之前被水覆盖的田地的反向散射非常低。因此,在直接播种田地上没有清楚地观察到反向散射的时间增加。因此,强度暂时变化作为先前提出的米分类器的使用可能不适用。与过去的结果相反,由于本季节发生排水,因此HH,VV和HH / VV与生物量没有强烈关系。但是,可以使用HH / VV比得出试验省所有稻田条件下的稻米/非稻米分类算法。使用省内不同地区的统计数据评估了稻米中期中单一日期使用HH / VV极化比的制图结果。该方法可以应用于其他地区,条件是在稻谷的高峰期获取合成孔径雷达数据,并且很少有训练场提供该方法中使用的调整后阈值。

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