Detection of volcanic gases and particles by satellite

In this paper the detection of components of volcanic eruption has been carried out investigating, in appropriate bands of the electromagnetic spectrum (6.25, 8.7, 10.8, 12 μm), the values of the brightness temperature. The analysis has been performed in the Thermal Infrared Region (TIR) studying both the absorption–emission and scattering phenomena related to the interactions between electromagnetic radiation and volcanic emissions. The results have been achieved by means of a combined use of numerical simulations, devoted to examining the behaviour of the atmosphere gases and volcanic components, and remotely sensed satellite images. The proposed methodologies allow an estimate of the amount of gaseous and solid components, of the size of the emitted particles, of the height of the volcanic plume and of the distance of the volcanic components from the crater. The processed images come from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) sensor on board the geo-stationary satellite Meteosat Second Generation (MSG) and take into consideration an eruption of the Etna volcano as a study case (1st of April 2012, 04:30 and 05:30 UTC). The procedures are general and may therefore be extended to any other similar case.     

Quantifying lunar soil composition with partial least squares modeling of reflectance

Retrieval of lunar soil composition is commonly achieved through optical remote sensing in which spectral characteristics of returned lunar samples are related to their constituents. Partial least squares (PLS) and principal component regression (PCR) were applied to the dataset characterized by the Lunar Soil Characterization Consortium (LSCC) to estimate the content of FeO, Al₂O₃ and TiO₂ in the soils. The goal of this study was to test whether the conversion of reflectance to single scattering albedo (SSA) via Hapke’s radiative transfer model is able to improve the performance of PLS and PCR. Results from PLS and PCR modeling of SSA spectra indicate that the conversion does not necessarily improve the performance of PLS and PCR, and this depends on the chemical considered, the way to select the number of optimal factors, and how the data were pretreated. The conversion failed to accommodate the large deviation of highland samples with low FeO, TiO₂ and high Al₂O₃.     

Comment: On the different approaches of Rayleigh optical depth determination

Srivastava et al. (2009) presented Rayleigh scattering cross-sections and optical depths for Earth’s atmosphere that are approximately 3% smaller than previously accepted. Their analysis was based on quantum-mechanical theory for anisotropic scattering in the Cabannes line published in papers that seem to have introduced some confusion about determining the anisotropy and King factors. This comment clarifies these factors and shows that including the frequency-shifted rotational Raman lines gives the traditional King factor and the correct Rayleigh scattering for the optical depth.     

基于空域滤波的二维全极化散射中心快速提取

在全极化逆合成孔径雷达(ISAR)体制下,二维相干极化几何绕射(CP-GTD)模型能够精确描述雷达目标高频电磁极化散射特性。针对CP-GTD模型,提出了一种基于空域滤波的二维全极化散射中心参数快速提取方法。该方法利用空域滤波将二维全极化散射中心参数提取问题分解为多个一维全极化散射中心提取问题,进而利用一维旋转不变技术(1D-ESPRIT)分步对全极化散射中心各维参数进行联合估计,最后利用最小二乘方法获得相干极化散射矩阵的估计。此外,采用这样的分步估计过程,可以实现二维参数的自动配对。复杂度分析和仿真实验表明:该方法不仅能够显著降低运算量,并且还能获得较好的估计精度,可以有效地用于目标全极化散射中心提取。     

改进的极化SAR图像三分量分解方法

针对原始三分量分解方法中,偶次散射和表面散射类地物的体散射分量可能会过估计的问题,提出了一种基于H/α珔参数和一般散射机理模型的改进的三分量分解方法。首先在进行极化分解之前利用H/α珔参数判定目标的主导散射类型。对于主导散射类型明确的像素点,利用一般散射机理模型优先计算主导散射成分的相关扩展系数,然后再从剩余成分中提取非主导散射分量。对于主导散射类型不明确的像素点,采用传统的去取向三分量分解方法进行分解。对实测极化SAR图像进行实验表明,新方法不仅继承了传统三分量分解方法的优点,而且能在分解结果中更加有效地突出雷达目标的主导散射特征。     

Studies on the imaging characteristics of Yohkoh Soft X-ray Telescope: Optical aberration and scattering

In order to better understand the characteristics of Yohkoh Soft X-ray Telescope (SXT) mirror, we have analyzed the in-flight overexposed image (the starburst image) obtained during the solar flare observation. It has been revealed from our study that the intensity distribution inside the shadows shown in the scattering difference image contains little of the scattered component of the PSF and matches almost correctly the extension of the PSF core profile. Also it is found that the scattering wing of the SXT PSF is connected smoothly to the PSF core within the distance of about 100–200 arcsec from the peak. With numerical simulations we have shown that an increase in energy affects not only the level of scattering wing, but also both the shape and the absolute level of the PSF core. The results have revealed, however, that the energy dependence for the SXT PSF cannot be easily estimated with the data obtained from one filter alone, which implies that the data analysis using multiple filters will enable us to determine the absolute amount of scattered component as well as the energy dependence of the SXT PSF. Details on the analysis of starburst image and the results from numerical simulations will be introduced and discussed thoroughly.     

应用粒子激光散射测量混合反应器分散相浓度场分布

研究了圆管反应器中四束侧向对撞射流与轴向流形成的混合流动.应用激光粒子散射成像测量了侧向分散相在混合流中的浓度场分布,得到了不同的浓度分布图形随侧向流与轴向流速比关系,揭示了内在有规律的独特的浓度分布结构.     

Forest biomass monitoring with GNSS-R: Theoretical simulations

GNSS-Reflectometry (GNSS-R) is a remote sensing technique which performs bistatic measurements of the earth surface scattering. This paper presents some theoretical simulations of the specular scattering coefficient of a forested area, with the aim of demonstrating the potentiality of GNSS-R in monitoring forest biomass. The study is performed by means of an electromagnetic model developed in the past years and tested over several vegetation covered sites in its active and passive version. Here, after showing a comparison between model results and measurements over a forest site in the monostatic configuration, and after summarizing other previous validations, the extension to the specular configuration, typical of GNSS-R systems, will be presented. Namely, simulations are carried out at circular polarization and a sensitivity analysis of the received power in the specular configuration to some soil and forest parameters is shown.     

High-precision RCS measurement of aircraft’s weak scattering source

The radar cross section(RCS) of weak scattering source on the surface of an aircraft is usually less than 40 d Bsm.How to accurately measure the RCS characteristics of weak scattering source is a technical challenge for the aircraft's RCS measurement.This paper proposes separating and extracting the two-dimensional(2D) reflectivity distribution of the weak scattering source with the microwave imaging algorithm and spectral transform so as to enhance its measurement precision.Firstly,we performed the 2D microwave imaging of the target and then used the 2D gating function to separate and extract the reflectivity distribution of the weak scattering source.Secondly,we carried out the spectral transform of the reflectivity distribution and eventually obtained the RCS of the weak scattering source through calibration.The prototype experimental results and their analysis show that the measurement method is effective.The experiments on an aircraft's low-scattering conformal antenna verify that the measurement method can eliminate the clutter on the surface of aircraft.The precision of measuring a 40 d Bsm target is 3–5 d B better than the existing RCS measurement methods.The measurement method can more accurately obtain the weak scattering source's RCS characteristics.