共查询到20条相似文献，搜索用时 31 毫秒
1.
Coastal upwelling phenomenon along the China coast in the Yellow Sea during August 2007 is studied using ENVISAT Advanced
Synthetic Aperture Radar (ASAR) data, NOAA Advanced AVHRR series Sea Surface Temperature (SST) data, and NASA QuikSCAT Scatterometer
ocean surface wind data. A dark pattern in an ASAR image is interpreted as coastal upwelling. This is because the natural
biogenic slicks associated with coastal upwelling damp the Bragg waves on the sea surface and thus make the surface smoother.
Most of the incoming radar energy is reflected in the forward direction. As a result, the radar backscatter signal is very
weak. Analyzing the concurrent AVHRR SST image, we find that the dark pattern in the ASAR image is indeed corresponding to
the low SST area. The wind retrieval in the slicks dominant region is biased due to the low Normalised Radar Cross Section
(NRCS) associated with the coastal upwelling. We applied a SST correction to the NRCS values to improve the accuracy of wind
retrieval from ASAR data. 相似文献
2.
Cheng Y Li X Xu Q Garcia-Pineda O Andersen OB Pichel WG 《Marine pollution bulletin》2011,62(2):350-363
Oil spills are a major contributor to marine pollution. The objective of this work is to simulate the oil spill trajectory of oil released from a pipeline leaking in the Gulf of Mexico with the GNOME (General NOAA Operational Modeling Environment) model. The model was developed by NOAA (National Oceanic and Atmospheric Administration) to investigate the effects of different pollutants and environmental conditions on trajectory results. Also, a Texture-Classifying Neural Network Algorithm (TCNNA) was used to delineate ocean oil slicks from synthetic aperture radar (SAR) observations. During the simulation, ocean currents from NCOM (Navy Coastal Ocean Model) outputs and surface wind data measured by an NDBC (National Data Buoy Center) buoy are used to drive the GNOME model. The results show good agreement between the simulated trajectory of the oil spill and synchronous observations from the European ENVISAT ASAR (Advanced Synthetic Aperture Radar) and the Japanese ALOS (Advanced Land Observing Satellite) PALSAR (Phased Array L-band Synthetic Aperture Radar) images. Based on experience with past marine oil spills, about 63.0% of the oil will float and 18.5% of the oil will evaporate and disperse. In addition, the effects from uncertainty of ocean currents and the diffusion coefficient on the trajectory results are also studied. 相似文献
3.
Topography and morphodynamics in the German Bight using SAR and optical remote sensing data 总被引：3，自引：0，他引：3
Morphological changes in coastal areas, especially in river estuaries, are of high interest in many parts of the world. Satellite
data from both optical and radar sensors can help to monitor and investigate these changes. Data from both kinds of sensors
being available for up to 30 years now, allow examinations over large timescales, while high resolution sensors developed
within the last decade allow increased accuracy. So the creation of digital elevation models (DEMs) of, for example, the wadden
sea from a series of satellite images is already possible. ENVISAT, successfully launched on March 1, 2002, continues the
line of higher resolution synthetic aperture radar (SAR) imaging sensors with its ASAR instrument and now also allows several
polarization modes for better separation of land and water areas. This article gives an overview of sensors and algorithms
for waterline determination as well as several applications. Both optical and SAR images are considered. Applications include
morphodynamic monitoring studies and DEM generation.
相似文献
| Andreas NiedermeierEmail: |
4.
Rice is the most important food source for people and is cultivated in most countries, among which China is one of the most productive. Increase of the world population and demands for economic devel-opment lead to the need of an efficient monitoring system for rice cultivation and forecasting of rice yield. Conventional methods for rice monitoring are based on ground-collected statistics, which is time consum-ing, inaccurate and expensive. Since the 1980s, satel-lite remote sensing has been c… 相似文献
5.
机载SAR对海探测时,探测范围小和时空匹配难等局限使其无法借助风条纹和辅助资料反演海面风矢量.本文在仿真研究CMOD5.N地球物理模型参数的函数关系,实例分析机载SAR探测图像中距离向均值曲线变化规律的基础上,发现相同风向、风速条件下,CMOD5.N模型构建的标准曲线和探测图像的距离向均值曲线遵循统一的归一化雷达截面随入射角变化规律,且两者具有良好的相关性.据此,本文提出将距离向均值曲线与标准曲线逐条匹配,采用相关系数判定两者的相关程度,选择使得相关系数绝对值最大的标准曲线作为最优匹配曲线,进而直接确定风向和风速的海面风矢量反演方法.机载SAR飞行探测实验结果表明,海面风矢量反演结果与浮标观测结果的均方根误差为风向11.3°,风速0.9m·s-1,高于反演精度指标要求,原因在于该方法既避免了机载SAR探测图像中斑点噪声的影响,又不会产生局部最优解,提高了海面风矢量反演精度. 相似文献
6.
雷达成像的波长、入射角、地面分辨率等参数严重影响着SAR差分干涉测量地面沉降的监测能力和精度,论文通过理论推导和矿区实际沉降差分干涉相位模拟,从监测到的最大沉降梯度和沉降量、保相能力、对微小沉降的敏感程度等方面对L和 C波段雷达干涉数据的矿区地面沉降监测能力进行分析;精化双轨D-InSAR数据处理的流程、方法和相应参数,使用ALOS PALSAR和ENVISAT ASAR数据获取济宁某矿区2009年12月到2010年02月期间更为精确的矿区地面沉降结果,并对沉降结果进行详细比较和系统分析.理论推导、相位模拟和真实数据实验都表明,相对于C波段的雷达干涉数据而言,L波段雷达干涉数据具有较强的保相能力,能够更好地降低失相干和相位不连续性的影响,更容易监测到沉降梯度和沉降量较大的矿区地面沉降,但对微小矿区地面沉降的敏感程度较低. 相似文献
7.
Summary The purpose of this study was to determine to what extent the effect of interplanetary parameters is reflected in the separate storms in dependence on geomagnetic latitude. The results were obtained by studying 5 storms of February 1967 and 1968 recorded at 6 observatories between latitude 5.7° and 53.5° with small differences in local time. These results concern the dynamic pressure of the solar wind and the function of the interplanetary electric field, which approximates the plasma injection into the ring current. This is also associated with the decay time of the storm ring. In most cases the dependence of the effect of the investigated parameters on latitude was proved and expressed in terms of quantitative relations with a reasonable degree of correlation. The derived constants were used in a model of time variations of the storm-time geomagnetic field. The storm-time variations, constructed using this model, mostly agree, as regards their main features, with the real variations, whereas differences can be observed in details, namely of a local nature.
mam maua maum, a nm uu nam naam u nu amuu auumu maum um. mam mm 5 , aumua a 1967. u 1968. m amuu um ¶rt;uana 5, 7°–53,5° nu auuu m u. mam aam ¶rt;uau ¶rt;au ma u uu nam mu n, m annuum uu na m. mu a u ana¶rt;a m ma. um a auum ma u¶rt; naam m um n¶rt;m¶rt;ua u a aa um nu ¶rt;mam mnu uu. nm u una ¶rt;u uuaum n u. ¶rt; auauu u am ¶rt;mumu, u ¶rt;ma mam m mu num a aama.相似文献
8.
夏耶 《地震学报(英文版)》2005,18(4):451-459
1 Basic principle of SAR and SAR-interferometry Synthetic aperture radar (SAR) is one kind of microwave side-looking imaging radar (Cur- lander and McDonough, 1991). In order to obtain an image for a large area, the carriers are many for the aerospace vehicle, like airplane, aerospace craft and satellite. As a result of its operational character, all-weather and high resolution, in the recent 20 years, SAR has obtained quicker de- velopment compared with an optical pickoff. Its applicati… 相似文献
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Estimation of near surface soil moisture in a sloping terrain of a Himalayan watershed using ENVISAT ASAR multi‐incidence angle alternate polarisation data 
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下载免费PDF全文 Soil moisture is one of the important input variables in hydrological and water erosion models. The extraction of information on near surface soil moisture from synthetic aperture radar (SAR) is well established mostly for flat terrain and using low incidence angle single polarisation data. The ENVISAT advanced SAR (ASAR) data available in multiple incidence angles and alternate polarisation modes were investigated in this study for soil moisture estimation in sloping terrain. The test site was Sitla Rao watershed in the Lesser Himalayas of northern India. Empirical models were developed to estimate near surface soil moisture in bare agricultural fields using alternate polarisation ASAR data. Both soil moisture and surface roughness field measurements were performed during the satellite passes. Backscatter from medium incidence angle (IS‐4) and vertical‐vertical (VV) polarisation signal is correlated better with volumetric soil moisture content compared to other incidence angles. The model parameters were further improved, and soil moisture estimation was refined by combining medium incidence angle (IS4) vertical‐horizontal polarisation response as another variable along with VV polarisation response. The effect of slope on the radar backscatter was minimized by incorporating local incidence angles derived from an ASTER DEM. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
11.
SAR(Synthetic Aperture Radar)反演海洋风矢量是当今微波遥感领域非常有意义的前沿课题. 本文首先介绍了星载SAR估算海面风向、风速的基本原理和三种主流反演算法,接着给出反演的流程图以及重要步骤. 然后,以2002年5月7日香港地区ERS-2 SAR海洋图像为例,对经典的SWDA (SAR Wind Direction Algorithm)－谱分析方法加以改进,求得具有180°模糊度的风向,并用香港天文台气象浮标实测数据消除了风向不确定性. 最后,利用CMOD4 GMF（Geophysical Model Function,地球物理模式函数）计算得到海面上10m高的风速. 与气象浮标站实测资料相比,利用ERS-2 SAR图像获取的海面风向、风速的精度均较高. 这一结果表明：如果对SAR预先进行ADC(Analog to Digital Converter)改正以及精确校准,结合改进的SWDA和CMOD4,可以获得高精度的风矢量. 相似文献
12.
汶川地震发生后,受阴雨天气的影响,光学遥感影像在救灾决策中的作用受到了很大的限制,而SAR图像由于其全天候的特点成为这次抗震救灾前期遥感信息保障十分重要的数据源.采用ENVISAT的ASAR作为数据源,利用多时相的雷达数据的幅度及相位信息对映秀及周边地区做了地震灾害识别,其中利用震前震后的幅度图像做比值变化检测,在映秀镇及紫坪铺水库等山区取得了较好的效果;利用相位信息做干涉处理得到的相干图像,经过失相干分析,发现建筑物的破坏等级与相干系数变化指数的大小高度相关.比较这两种方法,在都江堰等平原地区由于失相干现象不像山区那么严重,并且利用比值处理可以去除部分空间失相干及系统热噪声等带来的干扰因素,可以成为幅度图像的有益补充.结果表明,结合SAR幅度影像和干涉相干影像,可以在地震灾害评估中取得更好效果.随着极化干涉雷达技术的日益成熟,多时相幅度信息、相位信息等多特征SAR影像信息的融合会在救灾决策中发挥更大的作用. 相似文献
13.
《Marine pollution bulletin》2014,78(1-2):190-195
Increased frequency and enhanced damage to the marine environment and to human society caused by green macroalgae blooms demand improved high-resolution early detection methods. Conventional satellite remote sensing methods via spectra radiometers do not work in cloud-covered areas, and therefore cannot meet these demands for operational applications. We present a methodology for green macroalgae bloom detection based on RADARSAT-2 synthetic aperture radar (SAR) images. Green macroalgae patches exhibit different polarimetric characteristics compared to the open ocean surface, in both the amplitude and phase domains of SAR-measured complex radar backscatter returns. In this study, new index factors are defined which have opposite signs in green macroalgae-covered areas, compared to the open water surface. These index factors enable unsupervised detection from SAR images, providing a high-resolution new tool for detection of green macroalgae blooms, which can potentially contribute to a better understanding of the mechanisms related to outbreaks of green macroalgae blooms in coastal areas throughout the world ocean. 相似文献
14.
Rain can significantly degrade the wind vector retrieval from Precipitation Radar(PR) by three mechanisms, namely, two-way rain attenuation, rain volume-backscattering, and ocean surface roughening from the rain splash effect. Here we first derive the radar equation for PR in rainy conditions. Then we use the rain attenuation model for Ku band, volume backscatter model for spherical raindrops and PR–TMI(TRMM Microwave Imager, TMI) matchup datasets from June to August in 2010 to solve the radar equation, and quantitatively analyze the influence of rainfall on PR radar measurement of ocean surface wind speed. Our results show that the significant effect of rain on radar signal is dominated by two-way rain attenuation and rain splash effect, and the effect of rain volume-backscattering is relatively the weakest, which can even be neglected in rain-weak conditions. Moreover, both the two-way rain attenuation and rain splash effect increase with the increasing of integration rain rate and incident angle. Last, we combine volume-backscattering effect and splash effect into a simple phenomenological model for rain calibration and select three typhoon cases from June to August in 2012 to verify the accuracy of this model. Before calibration, the mean difference and mean square error(MSE) between PR-observed ? 0 and wind-induced ? 0 are about 2.95 dB and 3.10 dB respectively. However, after calibration, the mean difference and MSE are reduced to 0.64 dB and 1.61 dB respectively. The model yields an accurate calibration for PR near-nadir normalized radar cross section(NRCS) in rainy conditions. 相似文献
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Manabu D. Yamanaka Shoichiro Fukao Hiromasa Matsumoto Toru Sato Toshitaka Tsuda Susumu Kato 《Pure and Applied Geophysics》1989,130(2-3):481-495
Marked wavelike variations of the lower stratospheric wind observed on 7–10 May, 1985 by an MST radar in Japan (by the MU radar) are analyzed assuming that they are induced by monochromatic internal inertio-gravity waves. These variations are mainly composed of two modes (periods: 22 and 24 hours), both of which have zonal phase velocities (C
X
) slower than the mean westerly wind (). A statistical analysis of the zonal phase velocity shows thatC
X
above andC
X
below the tropopause jet stream, which is considered to be a vivid proof of wave selection due to the tropospheric mean flow and upward wave emission from the tropopause jet. A comparison between the MU radar results and routine meteorological observations leads to the conclusion that the marked waves appear when the jet stream takes a maximum wind speed. 相似文献
17.
永久散射体雷达干涉(PSI)技术及其应用于区域地表形变监测已成为雷达遥感领域的研究热点之一.使用单一卫星平台所获取的单侧视SAR影像时间序列进行PSI分析,仅能获取沿雷达视线(LOS)方向的一维地表位移信息.本文提出了基于多平台永久散射体雷达干涉提取三维地表形变速度场的模型与算法,其基本策略是:首先针对每一卫星平台的SAR影像时间序列进行PSI分析,并计算各地面目标沿LOS向的位移速度值,然后联合各平台所对应的LOS向位移速度值进行建模,并基于最小二乘方法解算各地面目标的三维位移速度分量.实验选取天津市西北部作为测试区,使用2007—2010年所获取的39幅TerraSAR-X影像、23幅ENVISAT ASAR影像和16幅ALOS PALSAR影像进行分析,经联合解算得到了该测试区域的垂直位移速度场以及南北向和东西向水平位移速度分量.与地面水准和已有GPS观测结果对比分析表明:多平台PSI的垂直位移速度场精度可达毫米级,而其水平位移速度分量与已有GPS结果基本一致.多平台PSI分析无需引入任何外部形变参考信息,便可以实现形变场的偏差校准和三维形变场的恢复. 相似文献
18.
气压、温度和水汽含量等大气物理参数的时空变化导致的对流层延迟是制约合成孔径雷达干涉测量(Interferometric Synthetic Aperture Radar,InSAR)高精度应用的重要因素之一.最新研究显示气象再分析资料在补偿对流层延迟影响方面具有巨大的应用潜力,这促使我们对其有效性和鲁棒性做进一步的研究和探索.本文首先推导了利用气象再分析资料对InSAR进行对流层延迟校正的算法;然后以美国南加州地区的ENVISAT ASAR数据为例,分析了基于两种气象再分析资料(ERA-Interim和North American Regional Reanalysis,NARR)校正InSAR对流层延迟改正的效果;通过与MERIS水汽延迟改正结果比较,验证了该方法的有效性.实验结果表明:(1)不能简单忽略干延迟,可通过气象再分析资料进行有效估计;(2)通过与MERIS水汽产品获得的对流层延迟比较发现,气象再分析资料能够取得接近于MERIS的改善效果;(3)对ERA-Interim和NARR两种气象再分析资料而言,虽然后者具有更高的时间和空间分辨率,但在改正InSAR对流层延迟方面并没有表现出比前者更明显的优势;(4)气象再分析资料可以很好地估计与地形强相关的垂直分层延迟,但对于小尺度的湍流混合延迟的捕捉能力有限.综合分析认为,气象再分析资料的优势在于其数据可随时获得、免费和全球覆盖,它可以显著减弱大尺度的垂直分层延迟对干涉图相位的影响,从而有助于InSAR获取更真实可靠的地形高程和地表形变信息. 相似文献
19.
《中国科学:地球科学(英文版)》2015,(10)
A new method for the retrieval of ocean wave parameters from SAR imagery is developed,based on the shape-from-shading(SFS)technique.Previously,the SFS technique has been used in the reconstruction of 3D landform information from SAR images,in order to generate elevation maps of topography for land surfaces.Here,in order to retrieve ocean wave characteristics,we apply the SFS methodology,together with a method to orient the angular measurements of the azimuth slope and range slope,in the measurement of ocean surface waves.This method is applied to high resolution fine-quad polarization mode(HH,VV,VH and HV)C-band RADARSAT-2 SAR imagery,in order to retrieve ocean wave spectra and extract wave parameters.Collocated in situ buoy measurements are used to validate the reliability of this method.Results show that the method can reliably estimate wave height,dominant wave period,dominant wave length and dominant wave direction from C-band SAR images.The advantage of this method is that it does not depend on modulation transfer functions(MTFs),in order to measure ocean surface waves.This method can be used in monitoring ocean surface wave propagation through open water areas into ice-covered areas,especially the marginal ice zone(MIZ)in polar oceans. 相似文献
20.
ShuangHe Shen ShenBin Yang BingBai Li BingXiang Tan ZengYuan Li Thuy Le Toan 《中国科学D辑(英文版)》2009,52(8):1183-1194
Information on rice growing areas and rice production is critical for most rice growing countries to make state and economic
policies. However, the areas where rice crop is cultivated are often cloudy and rainy, which entails the use of radar remote
sensing data for rice monitoring. In this paper, a practical scheme to integrate multi-temporal and multi-polarization ENVISAT
ASAR data into rice crop model for regional rice yield estimation has been presented. To achieve this, rice distribution information
should be obtained first by rice mapping method to retrieve rice fields from ASAR images, and then an assimilation method
is applied to use the observed multi-temporal rice backscattering coefficients which are grouped for each rice pixel to re-initialize
ORYZA2000 to predict rice yield. The assimilation method re-initializes the model with optimal input parameters, allowing
a better temporal agreement between the rice backscattering coefficients retrieved from ASAR data and the rice backscattering
coefficients simulated by a coupled model, i.e., the combination of ORYZA2000 and a semi-empirical rice backscatter model
through LAI. The SCE-UA optimization algorithm is employed to determine the optimal set of input parameters. After the re-initialization,
rice yield for each rice pixel is calculated, and the yield map over the area of interest is produced. The scheme was validated
over Xinghua study area located in the middle of Jiangsu Province of China by using the data set of an experimental campaign
carried out during the 2006 rice season. The result shows that the obtained rice yield map generally overestimates the actual
rice production by 13% on average and with a root mean square error of approximately 1133 kg/ha on validation sites, but the
tendency of rice growth status and spatial variation of the rice yield are well predicted and highly consistent with the actual
production variation.
Supported by the ESA-NRSCC Dragon Cooperation Program (), the Project for Jiangsu Graduate in Scientific Research and Innovation (No. CX07B_048z), and the Special Program for Scientific
Research in Public Welfare Meteorological Services (No. GYHY200806008) 相似文献