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Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops

机译:结合使用光学和雷达卫星数据监测小麦作物的灌溉和土壤水分

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The objective of this study is to get a better understanding of radar signalover irrigated wheat fields and to assess the potentialities of radarobservations for the monitoring of soil moisture. Emphasis is put on the useof high spatial and temporal resolution satellite data (Envisat/ASAR andFormosat-2). Time series of images were collected over the Yaqui irrigatedarea (Mexico) throughout one agricultural season from December 2007 to May 2008, together with measurements of soil and vegetation characteristics andagricultural practices. The comprehensive analysis of these data indicatesthat the sensitivity of the radar signal to vegetation is masked by thevariability of soil conditions. On-going irrigated areas can be detected allover the wheat growing season. The empirical algorithm developed for theretrieval of topsoil moisture from Envisat/ASAR images takes advantage ofthe Formosat-2 instrument capabilities to monitor the seasonality of wheatcanopies. This monitoring is performed using dense time series of imagesacquired by Formosat-2 to set up the SAFY vegetation model. Topsoil moistureestimates are not reliable at the timing of plant emergence and during plantsenescence. Estimates are accurate from tillering to grain filling stageswith an absolute error about 9% (0.09 m3 m−3, 35% in relative value).This result is attractive since topsoil moisture is estimated at a highspatial resolution (i.e. over subfields of about 5 ha) for a large range ofbiomass water content (from 5 and 65 t ha−1 independently from theviewing angle of ASAR acquisition (incidence angles IS1 to IS6).
机译:这项研究的目的是更好地了解灌溉麦田的雷达信号,并评估雷达观测在监测土壤湿度方面的潜力。重点放在使用高时空分辨率的卫星数据(Envisat / ASAR和Formosat-2)上。在2007年12月至2008年5月的整个农业季节中,从Yaqui灌溉区(墨西哥)收集了时间序列图像,并测量了土壤和植被特征以及农业实践。对这些数据的综合分析表明,雷达信号对植被的敏感性被土壤条件的变化所掩盖。在整个小麦生长期都可以检测到持续的灌溉区域。为从Envisat / ASAR图像中获取表层土壤水分而开发的经验算法利用了Formosat-2仪器的功能来监测小麦冠层的季节性。使用Formosat-2采集的密集时间序列图像执行此监视,以建立SAFY植被模型。在植物出苗时和植物衰老过程中,表土湿度估算值并不可靠。从分er到灌浆阶段的估算是准确的,绝对误差约为9%(0.09 m 3 m −3 ,相对值35%)。对于大范围的生物质水含量(从5到65 t ha -1 ),以高空间分辨率(即大约5公顷的子域)估算水分,而与ASAR采集的视角无关(入射角IS1到IS6)。

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