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基于Radarsat-2 SAR数据反演定西裸露地表土壤水分 被引量:11

Retrieval of Bare Soil Moisture Based on Radarsat-2 SAR in Dingxi of Gansu Province
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摘要 利用Radarsat-2 SAR数据和定西地区野外土钻法及WET仪器观测的土壤水分数据,分析了同极化后向散射系数与不同土层深度土壤水分之间的关系,采用交叉极化(VV/VH)组合模型反演土壤水分并进行对比验证。结果表明:水平、垂直同极化后向散射系数均与10~20 cm土壤含水量相关性最好,相关系数R均为0.74;受地表粗糙度和土壤质地等影响,同极化后向散射系数与0~10 cm土壤水分相关性均较低。交叉极化组合模型的反演值与10~20 cm实测土壤水分相关性较高,R值达0.75,而与0~10 cm和20~30 cm实测值的相关性较低(R值分别为0.47和0.52),但均通过α=0.05的显著性检验;WET仪器实测0~6 cm土壤水分经校正后与反演值的相关系数为0.46(通过α=0.01的显著性检验),校正后的结果有效提高了WET仪器测量精度。交叉极化组合模型可用于裸露地表土壤水分的反演,更适用于提取10~20 cm土壤含水量信息。 In this study,the relationships between the homology polarization backscattering coefficient and the soil moisture at different depths were analyzed based on the Radarsat-2 SAR data and the soil moisture observational data by using soil-drilling method and the WET sensor in Dingxi area,and the soil moisture from SAR was retrieved by using the cross polarization (VV/VH)combination model and validated with the measurement value.The results displayed that the horizontal and vertical polarization backscattering coef-ficients had the best correlation with soil water content at 10-20 cm depth,and their correlation coefficients R were all 0.74.Howev-er,they were not significantly correlated to soil water content at 0-10 cm depth due to the influence of surface roughness and soil tex-ture.The soil moisture from SAR simulated by the cross polarization combination model was significantly correlated to the measured value at 10-20 cm depth,and the correlation coefficient R was 0.75,while it was lower correlated with the measured soil moisture at 0-10 cm and 20-30 cm depths,and the correlation coefficients were 0.47 and 0.52,respectively,which only passed 0.05 signifi-cance test.In additional,the correlation coefficient between corrected soil moisture measured by WET sensor at 0-6 cm depth and the simulation value was 0.46 (passed 0.01 significance test),and the calibration result improved effectively the measuring accuracy by WET sensor.So the cross polarization combination model could be used to retrieve the bare soil moisture,especially for 10 -20 cm depth soil moisture.
出处 《干旱气象》 2014年第4期553-559,581,共8页 Journal of Arid Meteorology
基金 公益性行业(气象)科研专项"多时间尺度干旱监测预警 评估技术研究"(GYHY201006023) 中国气象局兰州干旱气象研究所科研启动项目(KYS2012SSKY04) 基本科研业务费项目共同资助
关键词 RADARSAT-2 SAR 定西 裸露地表 土壤水分反演 Radarsat-2 SAR Dingxi bare soil soil moisture retrieval
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  • 1Parrens M, Zakharova E, Lafont S, et al. Comparing soil moisture retrievals from SMOS and ASCAT over France [ J ]. Hydrology and Earth System Sciences, 2012,16 ( 2 ) :423 - 440.
  • 2Dirmeyer P A. Using a global soil wetness dataset to improve season- al climate simulation[ J ]. Journal of Climate, 2000,13 (16) :2900 - 2922.
  • 3Georgakakos K P, Carpenter T M. Potential value of operationally a- vailable and spatially distributed ensemble soil water estimates for agriculture [ J]. Journal of Hydrology, 2006,328 ( 1 ) : 177 - 191.
  • 4De Wit A J W, Van Diepen C A. Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield fore- casts[ J ]. Agricultural and Forest Meteorology, 2007,146 (1) :38 - 56.
  • 5Brocca L, Melone F, Moramarco T, et al. Improving runoff predic- tion through the assimilation of the ASCAT soil moisture product [J]. Hydrology and Earth System Sciences Discussions, 2010,7 (4) : 4113 -4144.
  • 6崔向慧.干旱半干旱沙区人工植被与土壤水分环境相互作用关系研究进展[J].世界林业研究,2010,23(6):50-54. 被引量:22
  • 7Draper C S, Walker J P, Steinle P J, et al. An evaluation of AMSR - E derived soil moisture over Australia[ J]. Remote Sensing of En- vironment, 2009,113 (4) : 703 - 710.
  • 8Gan T Y, Nasreen J. Soil moisture retrieval from combined use of microwave (RADARSAT- 2) and optical remote sensing (MODIS) [ A]. EGU General Assembly Conference Abstracts[ C ]. 2012,14: 1710.
  • 9杨虎,施建成.FY-3微波成像仪地表参数反演研究[J].遥感技术与应用,2005,20(1):194-200. 被引量:20
  • 10李震,陈权,任鑫.Envisat-1双极化雷达数据建模及应用[J].遥感学报,2006,10(5):777-782. 被引量:15

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