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Spatial and temporal variability of biophysical variables in southwestern France from airborne L-band radiometry

机译:机载L波段辐射测量法在法国西南部生物物理变量的时空变化

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In 2009 and 2010 the L-band microwave Cooperative Airborne Radiometer forOcean and Land Studies (CAROLS) campaign was performed in southwesternFrance to support the calibration and validation of the new Soil Moistureand Ocean Salinity (SMOS) satellite mission. The L-band Microwave Emissionof the Biosphere (L-MEB) model was used to retrieve surface soil moisture(SSM) and the vegetation optical depth (VOD) from the CAROLS brightnesstemperature measurements. The CAROLS SSM was compared with in situobservations at 11 sites of the SMOSMANIA (Soil Moisture ObservingSystem-Meteorological Automatic Network Integrated Application) network ofMétéo-France. For eight of them, significant correlations wereobserved (0.51 ≤ r ≤ 0.82), with standard deviation of differencesranging from 0.039 m3 m?3 to 0.141 m3 m?3. Also, theCAROLS SSM was compared with SSM values simulated by the A-gs version of theInteractions between Soil, Biosphere and Atmosphere (ISBA-A-gs) model along20 flight lines, at a resolution of 8 km × 8 km. A significantspatial correlation between these two datasets was observed for all theflights (0.36 ≤ r ≤ 0.85). The CAROLS VOD presented significant spatialcorrelations with the vegetation water content (VWC) derived from thespatial distribution of vegetation types used in ISBA-A-gs and from the LeafArea Index (LAI) simulated for low vegetation. On the other hand, the CAROLSVOD presented little temporal changes, and no temporal correlation wasobserved with the simulated LAI. For low vegetation, the ratio of VOD to VWCtended to decrease, from springtime to summertime. The ISBA-A-gs grid cells(8 km × 8 km) were sampled every 5 m by CAROLS observations,at a spatial resolution of about 2 km.For 83% of the grid cells, the standarddeviation of the sub-grid CAROLS SSM was lower than 0.05 m3 m?3. The presence of small waterbodies within the ISBA-A-gs grid cells tended to increase the CAROLS SSMspatial variability, up to 0.10 m3 m?3. Also, the grid cellscharacterised by a high vegetation cover heterogeneity presented higherstandard deviation values, for both SSM and VOD.
机译:2009年和2010年,在法国西南部开展了L波段微波海洋和陆空合作航空辐射计(CAROLS)运动,以支持对新的土壤水分和海洋盐度(SMOS)卫星任务的校准和验证。利用L波段的生物圈微波发射(L-MEB)模型从CAROLS亮度温度测量中检索了地表土壤水分(SSM)和植被光学深度(VOD)。在法国梅特奥的SMOSMANIA(土壤水分观测系统-气象自动网络集成应用程序)网络的11个站点的现场观测中,将CAROLS SSM进行了比较。对于其中的八个,观察到显着相关性(0.51≤ r ≤0.82),其标准差的差异为0.039 m 3 m ?3 至0.141 m 3 m ?3 。此外,将CAROLS SSM与土壤,生物圈与大气相互作用模型(ISBA-A-gs)沿20条航线的A-gs版本模拟的SSM值进行了比较,分辨率为8 km×8 km。在所有飞行中,这两个数据集之间都存在显着的空间相关性(0.36≤ r ≤0.85)。 CAROLS VOD与植被含水量(VWC)具有显着的空间相关性,植被含水量(VWC)来自ISBA-A-gs中使用的植被类型的空间分布以及低植被模拟的叶面积指数(LAI)。另一方面,CAROLSVOD几乎没有时间变化,并且与模拟的LAI也没有时间相关性。对于低植被,从春季到夏季,VOD与VWC的比率倾向于降低。通过CAROLS观测,每5 m采样一次ISBA-A-gs网格单元(8 km×8 km),空间分辨率约为2 km。对于83%的网格单元,亚网格CAROLS SSM的标准偏差低于0.05 m 3 m ?3 。 ISBA-A-gs网格单元中存在小水体往往会增加CAROLS SSM空间变异性,最高可达0.10 m 3 m ?3 。同样,对于SSM和VOD而言,具有高植被覆盖异质性的网格单元表现出更高的标准偏差值。

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