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1.
Maged Marghany 《Journal of the Indian Society of Remote Sensing》2004,32(2):185-198
This paper presents the application of the velocity bunching model to detect the wave spectra pattern. We have developed the
azimuth cut-off model which is estimated from the velocity bunching theory to model out the significant wave height. The velocity
bunching model utilized two ERS-1 images (First European Remote Sensing Satellite). These two ERS-1 images have been acquired
with the different monsoon periods. Several steps have been used to simulate the significant wave height from the velocity
bunching model, these were: the real ocean wave spectra simulated from the in situ wave data, and the SAR wave spectra, extracted
by applying two-dimensional Fourier transform (2-DFFT). Finally, the significant wave height was estimated based on the azimuth
cut-off arising from the velocity bunching model. Two hypotheses were established in modelling the wave spectra from the SAR
images: (i) azimuth cut-off was based on velocity bunching, which has been used to model the significant wave height with
high accuracy, and (ii) velocity bunching model has been used to map the SAR wave spectra into ocean wave spectra. In the
present study, a specific ERS-1 images of the South China Sea has been considered. No significant differences were found between
the velocity-bunching model and ocean wave spectra model where ERS-1 wave spectra has been found to be dominated by the azimuth
fall-off effects. Furthermore, the velocity bunching model produced wave spectra pattern approximately closed to the real
ocean wave compared to the SAR wave spectra. The highest rate of r2 (0.69) occurred when the significant wave height increased. It has been concluded that the velocity bunching model could
be used as the best fit model for estimating the significant wave height traveled along the azimuth direction. 相似文献
2.
TOPSAR wave spectra model and coastal erosion detection 总被引：2，自引：0，他引：2
Maged Mahmoud Marghany 《International Journal of Applied Earth Observation and Geoinformation》2001,3(4):357
This paper presents work done utilizing TOPSAR data to detect shoreline change along the Terengganu coast (Malaysia). TOPSAR data were used to extract information on wave spectra. This wave spectra information was then used to model shoreline changes by investigating the wave refraction patterns. From these patterns, the volume transport at several locations was estimated. The shoreline change model developed was designed to cover a 20 km stretch of shoreline of Kuala Terengganu. The model utilized data from aerial photographs, TOPSAR data and ground truth data. The location of sedimentation and erosion along the shoreline of Kuala Terengganu was estimated. The wave spectra extracted from TOPSAR data showed wavelengths ranging from 20 m to 175 m. The main direction of the waves given by the spectra was from the northeast. The wave refraction patterns varied, showing both convergence and divergence, indicating erosion and sedimentation locations, respectively. A comparison between the TOPSAR shoreline change model and aerial photographs and ground truth data showed a significant relationship. Finally, the regression model showed that erosion occurred particularly at Sultan Mahmed Airport, at a rate of −1.5 m/year. The maximum rate of sedimentation along the 20 km stretch was 1 m/year. 相似文献
3.
E. Saranathan R. Chandrasekaran D. Soosai Manickaraj M. Kannan 《Journal of the Indian Society of Remote Sensing》2011,39(1):107-115
Coastal zone is very dynamic, being the meeting place of land and sea water. The development in coastal area and subsequent
population growth have given rise to problems such as erosion, sedimentation, saltwater intrusion, degradation of natural
resources, etc. Satellite data has proved to be more appropriate for change detections quantifying and monitoring coastal
zones compared to conventional sources. An attempt is being made to elucidate the effect of shoreline changes with reference
to the spatial and field data observed along the Tharangampadi area. The base map was prepared on 1:50,000 scale for delineation
and identification of shoreline changes. The spatial variability of shoreline changes are studied using IRS 1B LISS-II 1991,
IRS 1C LISS-III 2004 and IRS P6 LISS-IV and IRS 1D PAN merge data 2006. The corresponding Survey of India toposheets of 1852,
1972 and survey and land record village map of 1918 also supplemented for this study. The kind and extent of shoreline changes
were investigated by using GPS during ground truth verification. The results are analyzed and presented in this paper. The
study results revealed that 180 m receding of the shoreline occurred in the past 155 years. 相似文献
4.
Shoreline Change Analysis at Chilika Lagoon Coast,India Using Digital Shoreline Analysis System 总被引：1，自引：0，他引：1
Rakesh Baral Subhasis Pradhan Rabindro Nath Samal Sujit Kumar Mishra 《Journal of the Indian Society of Remote Sensing》2018,46(10):1637-1644
Shoreline is the dynamic interfaces of both terrestrial and marine environment, which constantly affected by natural coastal processes includes wave, tide, littoral drift and cyclonic storms as well as coastal development. Wave induced littoral drift and fluvial discharge causing the gradual inlet migration and has the concurrent impact on shoreline of Chilika lagoon. This study is to determine the long-term shoreline changes along the coast of Chilika lagoon. Historical satellite images were used to analyse the shoreline erosion and accretion based on statistical approach. The satellite data from 1975 to 2015 were processed by using ERDAS Imagine and the shorelines are extracted. The shoreline oscillation was analysed at an interval of 100 m along the coast of Chilika lagoon using DSAS software. Most commonly used statistical methods such as end point rate and linear regression rate are used. The shoreline change analysis for entire coast of the lagoon since 40 years (1975–2015) indicates that 62% is of accretion, 25% is under stable coast and erosion is 13%. The result reveals that the lagoon coast shows high accretion of 9.12 m/year at updrift side of the lagoon inlet whereas the downdrift side shows high erosion of ??10.73 m/year due to the wave induced northeasterly longshore sediment transport round the year and riverine discharge. This study would provide the potential erosion and accretion area at Chilika lagoon coast and would help in adaptive shoreline management plan. 相似文献
5.
官厅水库的遥感动态变化探测及边岸稳定性判别 总被引：2，自引：0，他引：2
利用TM卫星多时相数据，采用变化探测技术研究了官厅水库1988—2001年时间段库区边岸的动态变化。对库区淤积、边岸侵蚀等问题进行了探讨；结合水位差数据，提出边岸坡度和边岸稳定性的遥感时空分析方法和判据；分析了上述问题对官厅水库水资源利用的影响。边岸稳定性判别方法可应用于湖泊、海洋的滩涂地区。 相似文献
6.
利用TM卫星多时相数据，采用变化探测技术研究了官厅水库1988—2001年时间段库区边岸的动态变化。对库区淤积、边岸侵蚀等问题进行了探讨；结合水位差数据，提出边岸坡度和边岸稳定性的遥感时空分析方法和判据；分析了上述问题对官厅水库水资源利用的影响。边岸稳定性判别方法可应用于湖泊、海洋的滩涂地区。 相似文献
7.
8.
Shoreline Change Analysis along the Coast of South Gujarat,India, Using Digital Shoreline Analysis System 总被引：1，自引：0，他引：1
Manik Mahapatra R. Ratheesh A. S Rajawat 《Journal of the Indian Society of Remote Sensing》2014,42(4):869-876
Shoreline changes along the south Gujarat coast has been analyzed by using USGS Digital Shoreline Analysis System (DSAS) version 4.3. Multi-temporal satellite images pertaining to 1972, 1990, 2001 and 2011 were used to extract the shoreline. The High water line (HTL) is considered as shoreline and visual interpretation of satellite imageries has been carried out to demarcate the HTL based on various geomorphology and land use & land cover features. The present study used the Linear Regression Method (LRR) to calculate shoreline change rate. Based on the rate of shoreline changes, the coastal stretches of study area has been classified in to high erosion, low erosion, stable, low accretion and high accretion coast. The study found that about 69.31 % of the South Gujarat coast is eroding, about 18.40 % of coast is stable and remaining 12.28 % of the coast is accreting in nature. Field investigation was carried out which confirmed the coastal erosion/accretion derived from the analysis. The high erosion area are mostly found along the Umergaon (near Fansa, Maroli, Nargol, Varili river mouth, Umergaon light house) and Pardi (Kolak, Udwara)Taluka in Valsad district. Stable coastal length of the study area is 21.59 km and mostly found in Nani Dandi and near Onjal. High accretion (3.70 %) was only found near Hajira and low accretion (8.58 %) are distributed the study area. The main causes of coastal erosion of the study area were the strong tidal currents accompanied by wave action and reduced the sediment load of the river. 相似文献
9.
SAR海洋内波表层流反演方法探讨 总被引：3，自引：0，他引：3
基于海洋内波SAR成像机理与M4S海面微波散射成像模型,提出SAR海洋内波表层流反演新方法。首先从SAR图像上获得内波剖面的海面后向散射强度,利用AH理论的线性近似关系得到猜测表层流,通过海面微波散射成像模型仿真海洋内波的SAR海面后向散射强度,利用二分法不断地修改风速和流速梯度等参数,使仿真信号最大程度的逼近实际SAR图像上的海面后向散射强度,输出最终海表层流。以中国南海海区3景海洋内波SAR图像为例,对该方法进行了探讨。结果表明,仿真的海洋内波SAR海面后向散射强度剖面和实际SAR图像上的信号剖面吻合,两者的相关系数达90%以上,说明该反演方法是收敛与可行的。 相似文献
10.
Aliasing of the diurnal and semi-diurnal tides is a major problem when estimating the ocean tides from satellite altimetry.
As a result of aliasing, the tides become correlated and many years of altimeter observations may be needed to seperate them.
For the three major satellite altimetry missions to date i.e., GEOSAT, ERS-1, and TOPEX/POSEIDON (T/P), the alias periods
as well as the Rayleigh periods over which the tides decorrelate can be identified. Especially in case of GEOSAT and ERS-1,
severe correlation problems arise. However, it is shown by means of covariance analyses that the tidal phase advance differences
on crossing satellite groundtracks can significantly reduce the correlations among the diurnal and semi-diurnal tides and
among these tides and the seasonal cycles of ocean variability. Therefore, it has been attempted to solve a multi-satellite
response tidal solution for the diurnal and semi-diurnal bands from a total of 7 years of altimetry. Unfortunately, it could
be shown that the GEOSAT and ERS-1 orbit errors are too large to improve a 3-year T/P tidal solution with about 2 years of
GEOSAT and 2 years of ERS-1 altimeter observations. However, these results are preliminary and it is expected that more accurate
orbits, which have become available recently for ERS-1, and additional altimeter data from ERS-2 and the GEOSAT Follow-On
(GFO) should lead to an improved T/P tidal model.
Received: 4 May 1999 / Accepted: 24 January 2000 相似文献
11.
2000～2009年江苏沿海海岸线变迁与滩涂围垦分析 总被引：3，自引：0，他引：3
利用2000年3月1日、2003年2月6日、2006年9月18日和2009年10月17日4个时相的遥感影像对江苏盐城-南通段海岸线多年来的变迁进行了连续监测,获取了每个时期发生变化岸段、滩涂围垦面积等信息。研究结果表明:利用遥感影像能够满足准确、快速监测海岸线变迁的要求;2006～2009年,江苏省海岸线快速向海域推进;2000～2003年滩涂围垦面积为25 213ha,2003～2006年新增陆地面积为9601 ha,2006～2009年围垦面积达到23 632ha;滩涂开发总体呈现围垦—修养—围垦的开发模式。 相似文献
12.
ERS-1 radial positioning using the JGM-2 and JGM-3 gravity fields is assessed by analysing dual crossovers with TOPEX/Poseidon,
neither field containing ERS-1 data. This method allows a more complete recovery of ERS-1 radial orbit error, specifically
of the previously unattainable mean geographical error. The global analysis shows that the theoretical error derived from
the JGM-2 covariance matrix is realistic and that JGM-3 represents a slight improvement, at least at the inclination of ERS-1.
A latitudinal-based study in the southern ocean indicates possible weaknesses in both fields, notably for low and resonant
geopotential orders m. A refinement of JGM-2, RGM-2, is undertaken through inclusion of ERS-1 and STELLA laser tracking and ERS-1 altimetry, reducing
several of its deficiencies.
Received: 14 May 1996 / Accepted: 17 February 1997 相似文献
13.
海岛岸线遥感立体测图精细测量方法 总被引：2，自引：0，他引：2
提出了一种海岛岸线遥感测图精细测量新方法,该方法直接基于理论定义的海岸线,利用航空影像瞬时水涯线数据在立体测图环境中提取瞬时水位高程;利用海岛周边精密海潮模型和瞬时水位高程推算海岛岸线高程;最后依据海岛岸线高程,采用立体测图方法测制海岛岸线的平面位置。该方法确保了海岛岸线成果的唯一性和连续性,适合大比例尺的大陆海岸线和海岛岸线测量。测试结果显示,在较高精度海潮模型和海面地形支持下,海岛岸线高程精度优于0.2 m,可满足1：2000测图要求。 相似文献
14.
本文利用中山站弹簧重力仪记录的重力潮汐时间序列、验潮站数据、CATS2008区域和Eot11a全球海潮模型研究重力和海洋潮汐特征。结果表明,在周日频段,潮波O1的海潮振幅达到28 cm,4个主要潮波（Q1、O1、P1和K1）的全球模型与验潮站潮高差之和为4.2 cm,区域模型与验潮站潮高差之和为4.4 cm;在半日频段,潮波M2的海潮振幅达到20 cm,4个主要潮波（N2、M2、S2和K2）的潮高差之和分别为7.7 cm和5.1 cm,说明利用区域模型修正全球模型的重要性。经区域模型修正的全球海潮负荷改正后,重力主波K1、M2和S2的最终残差振幅分别下降了9.84%、56.14%和37.08%,说明区域海潮模型更能反映海洋潮汐的真实特征,用区域模型修正全球海潮模型的有效性得到验证。 相似文献
15.
A shoreline change analysis along the coast between Kanyakumari and Tuticorin,India, using digital shoreline analysis system 总被引：3，自引：0，他引：3
The shoreline is one of the rapidly changing landforms in coastal areas.They are the key element in coastal GIS and provide the most information on coastal land form dynamics.Therefore,accurate detection and frequent monitoring of shorelines is very essential to understand the coastal processes and dynamics of various coastal features.The present study is to investigate the shoreline changes along the coast between Kanyakumari and Tuticorin of south India(where hydrodynamic and morphologic changes occur continuously after the December 2004 tsunami)by using Digital Shoreline Analysis System(DSAS),an extension of ArcGIS.Multidate IRS and Landsat Satellite data(1999,2001,2003,2005,2007,and 2009)are used to extract the shorelines.The data is processed by using the ERDAS IMAGINE 9.1 software and analyzed by ArcGIS 9.2 workstation.The rates of shoreline changes are estimated by three statistical methods,namely,End Point Rate(EPR),Linear Regression Rate(LRR),and Least Me-dian of Squares(LMS)by using DSAS.The study reveals that most of the study area has undergoing erosion.Both natural and an-thropogenic processes along the coast modify the shoreline configuration and control the erosion and accretion of the coastal zones.The coastal zones along the estuary have experienced accretion due to the littoral processes.The zones with headlands have more eroded than other zones along the study area.The study also shows that the coastal zones where sand is mined have relatively more rate of erosion than that of the other zones.Improper and unsustainable sand mining may also lead to severe erosion problem along this area.The shoreline change rates are altered by various geological processes along the coast.Thus,the present study implies that proper beach filling and nourishment projects should be made in the study area to save from hazards.It also indicates the advantage and suitability of DSAS to assess the shoreline changes compared with the traditional manual shoreline change analysis and prom-ising its applications for coastal zone management in other regions. 相似文献
16.
Estimation of dynamic ocean topography in the Gulf Stream area using the Hotine formula and altimetry data 总被引：3，自引：2，他引：1
Changyou Zhang 《Journal of Geodesy》1998,72(9):499-510
Two modifications of the Hotine formula using the truncation theory and marine gravity disturbances with altimetry data are
developed and used to compute a marine gravimetric geoid in the Gulf Stream area. The purpose of the geoid computation from
marine gravity information is to derive the absolute dynamic ocean topography based on the best estimate of the mean surface
height from recent altimetry missions such as Geosat, ERS-1, and Topex. This paper also tries to overcome difficulties of
using Fast Fourier Transformation (FFT) techniques to the geoid computation when the Hotine kernel is modified according to
the truncation theory. The derived absolute dynamic ocean topography is compared with that from global circulation models
such as POCM4B and POP96. The RMS difference between altimetry-derived and global circulation model dynamic ocean topography
is at the level of 25cm. The corresponding mean difference for POCM4B and POP96 is only a few centimeters. This study also
shows that the POP96 model is in slightly better agreement with the results derived from the Hotine formula and altimetry
data than POCM4B in the Gulf Stream area. In addition, Hotine formula with modification (II) gives the better agreement with
the results from the two global circulation models than the other techniques discussed in this paper.
Received: 10 October 1996 / Accepted: 16 January 1998 相似文献
17.
Rameswaram Island located on the southeast coast of India bounded by Gulf of Mannar (GoM) on the south and Palk Bay (PB) on the north, respectively, is unique in nature. The southeastern part of Rameswaram Island known as Dhanushkodi foreland is a long sand spit of about 20?km length. Shoreline erosion/accretion rates are computed based on End-Point Rate, Linear Regression Rate and Net Shoreline Change from Indian Remote sensing Satellite, Linear Imaging Self scanning Sensor III images from 1998 to 2012. Along the PB coast of Dhanushkodi foreland, eroding shorelines are dominant except Arichamunai, whereas it is reversing along GoM. Inter-annual shoreline change revealed that changing trend and stability of Island are affirmed with statistical approaches. An equilibrium shoreline trend is noticed on both the sides of Dhanushkodi foreland. Annual shoreline change rate indicates erosion and accretion in northern and southern coastline of Dhanushkodi foreland varies, respectively. 相似文献
18.
LUO Jia LI Jiancheng CHAO Dingbo 《地球空间信息科学学报》2003,6(1):19-23
1 ＩｎｔｒｏｄｕｃｔｉｏｎＴｏｄｅｖｅｌｏｐｔｈｅｏｃｅａｎｗｉｄｅｌｙａｎｄｄｅｅｐｌｙ ,ｗｅｎｅｅｄａｂｕｎｄａｎｔｏｃｅａｎｉｎｆｏｒｍａｔｉｏｎ .Ａｓａｎｅｓｓｅｎｔｉａｌｐａｒｔｏｆｓｕｃｈｉｎｆｏｒｍａｔｉｏｎ ,ｓｅａｆｌｏｏｒｔｏｐｏｇｒａｐｈｙｐｌａｙｓａｖｅｒｙｉｍｐｏｒｔａｎｔｒｏｌｅｉｎａｖａｒｉｅｔｙｏｆｍａｒｉｎｅａｃｔｉｖｉｔｉｅｓ .Ｈｏｗｅｖｅｒ,ｔｈｅｈｉｇｈｃｏｓｔｆｏｒｏｃｅａｎｂａｔｈｙｍｅｔｒｉｃｓｕｒｖｅｙｉｎｇｌｉｍｉｔｓｔｈｅａｐｐｌｉｃａｔｉｏｎｏ… 相似文献
19.
Procedures to calculate mean sea surface heights and gravity anomalies from altimeter-derived sea surface heights and along-track
sea surface slopes using the least-squares collocation procedure are derived. The slope data is used when repeat track averaging
is not possible to reduce ocean variability effects. Tests were carried out using Topex, Geosat, ERS-1 [35-day and 168-day
(2 cycle)] data. Calculations of gravity anomalies in the Gulf Stream region were made using the sea surface height and slope
data. Tests were also made correcting the sea surface heights for dynamic ocean topography calculated from a degree 360 expansion
of data from the POCM-4B global ocean circulation model. Comparisons of the anomaly predictions were carried out with ship
data using anomalies calculated for this paper as well as others.
Received: 19 August 1996 / Accepted: 14 April 1997 相似文献
20.
The quantitative assessment of spatial soil erosion is valuable information to control the erosion. The study area in a part of Narmada river in central India is selected. The main objective is to assess and compare the results obtained from three soil erosion models using GIS platform. Variation in the rate of erosion of the three models is compared considering varying slope, soil and land use of the area. Three models selected are Morgan–Morgan–Finney (MMF), Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE). The best fit or the most reliable model for the study area is selected after validation with the observed sedimentation data. The results give –39.45%, –9.60% and 4.80% difference in the values of sedimentation by MMF, USLE and RUSLE, respectively, from the observed data. Finally, RUSLE model has been found to be most reliable for the study area. 相似文献