Separation of ocean features from multifrequency full-polarization SAR imagery

Different ocean features usually appear in synthetic aperture radar (SAR) images simultaneously. This makes the image compli- cated and hard to understand. Because of lower signal-to-noise rate , it is much more difficult to separate different ocean features than to separate different land features. A completely novel method is presented to separate ocean features from multifrequency po- larimetric SAR imagery. AIRSAR data from Jet Propulsion Laboratory (JPL), National Aeronautics and Space Administration (NASA) are used in the case studies and good results are achieved.     

多波段海洋内波SAR图像特征分析

利用 SIR-C/X-SAR 南海海域多波段数据,分析了海洋内波 SAR 图像特征与雷达波段的关系.对上升型和下降型的海洋内波 SAR 图像,内波图像特征在 X 波段最为明显,C 波段次之,L 波段最弱.利用布拉格共振散射理论分析了内波图像特征在不同波段存在差异的原因.基于 M4S 海面微波成像仿真软件,模拟分析了不同波段的海洋内波 SAR 图像特征,模拟分析结果与数据分析结果吻合较好.     

利用重复水准测量及重力测量计算水准面随时间的变化

本文讨论了根据重复水准、重力测量资料利用虚拟质点法计算水准面随时间的变化,提出了虚拟质点位置参数的优化方法(该法克服了司托克斯方法和配置法的缺点)。模拟计算表明,水准面位移的计算精度是很高的。     

作物冠层气孔阻力与土壤水势关系的研究

利用棉花观测资料分析了气孔阻力与土壤水势的关系，并根据气孔阻力在冠层内的垂直变化，建立棉花冠层内气孔阻力的一元回归方程。由此初步解决了花铃期棉花冠层中气孔阻力的计算问题，而且对于监测棉田土壤水分动态、调节灌溉、进而采限措施减少蕾铃脱落有重要意义。     

Wave Height Estimation from SAR Imagery

This paper presents a method developed for estimating wave height from synthetic aperture radar (SAR) imagery without prior assumption of noise distribution. It is based on two-dimenslonal ocean wave spectra retrieved from fully calibrated SAR images. Wen‘s spectrum was used as first-guess wave spectrum in the retrieval process. Comparison of the estimated wave height obtained by this method from two ERS-1 SAR subimages dated 23 July 1994 with in-situ measurements showed that the method works well.     

Low-frequency sea-level variability in the South China Sea and its relationship with ENSO

Sea-level variability in the South China Sea was investigated based on satellite altimetry, tide-gauge data, and temperature and salinity climatology. The altimetric sea-level results clearly reveal three distinct amphidromes associated with the annual cycle. The annual sea level is higher in fall/winter in the coast and shelf region and in summer/fall in the central sea, agreeing well with independent tide-gauge data. Averaged over the deep basin (bottom depth>2,000 m), the annual cycle can be approximately accounted for by the steric height relative to 700 db. Significant interannual sea-level change is observed from altimetry and tide-gauge data. The interannual and longer-term sea-level variability in the altimetric data is negatively correlated (significant at the 95% confidence level) with the El Niño - Southern Oscillation (ENSO), attributed in part to the steric height change. The altimetric sea-level rise rate is 1.0 cm/year for the period from 1993 to 2001, which is consistent with the rate derived from coastal tide-gauge data and approximately accountable for by the steric height calculated relative to 700 db. The altimetric sea-level (steric height) rise rate of 1.05 (0.9) cm/year from 1993 to 2001 is much larger than that of 0.22 (0.12) cm/year for the period from 1979 to 2001, implying the sensitivity to the length of data as a result of the decadal variability. Potential roles of the ENSO in the interannual and longer-term sea-level variability are discussed in terms of regional manifestations such as the ocean temperature and salinity.     

Diurnal SST warming in the Bay of Biscay: satellite measurements and model prediction

INTRODUCTIONIt has long been recognized that a diurnal thermal cycle occurs in the upper layer of the ocean(Stommel et al., 1969; Price and Weller, 1986). Interest in the subject has revived in recentyears due to the importance of resolving the diurnal cycle for correctly coupling the ocean and atmosphere (Lukas, 1991 ). While the study of the diurnal cycle is of intrinsic scientific interest, italso offers the benefit to remote sensing scientists of identifying the bias caused by the di…     

Shallow water depth retrieval from space-borne SAR imagery

Based on shallow water bathymetry synthetic aperture radar (SAR) imaging mechanism and the microwave scattering imaging model for oceanic surface features, we developed a new method for shallow water depth retrieval from space-borne SAR images. The first guess of surface currents and winds are estimated from the normalized radar crossing section (NRCS) profile of shallow water bathymetry SAR imagery, according to the linear theory and geophysical model function. The NRCS profile is then simulated by the microwave scattering imaging model. Both the surface currents and winds are adjusted by using the dichotomy method step by step to make the M4S-simulated NRCS profiles approach those observed by SAR. Then, the surface currents and the wind speeds are retrieved when a best fit between simulated signals and the SAR image appears. Finally, water depths are derived using the Navier–Stokes equation and finite difference method with the best estimated currents and the surface winds. The method is tested on two SAR images of the Taiwan Shoal. Results show that the simulated shallow water NRCS profile is in good agreement with those measured by SAR with the correlation coefficient as high as 85%. In addition, when water depths retrieved from the SAR image are compared with in situ measurements, both the root mean square and relative error are less than 3.0 m and 6.5%, respectively, indicating that SAR images are useful for shallow water depth retrieval and suggesting that the proposed method in this paper is convergent and applicable.     

棉田SPAS水热传输的多层模式

根据能量平衡方程和土壤水热耦合方程，建立土壤－植物－大气系统的多层模式，再综合考虑作物冠层和土壤内部的水热变化，对地表与作物之间的水热传输过程进行了描述，并用棉田的实测资料进行了模拟。     

中子仪数据处理分析系统

针对农业气象观测站使用中子仪测定土壤湿度的有关技术问题进行了研讨，建立了仪数据处理分析系统，方便和规范了中子仪测土湿工作，并具有很强的服务功能。