The remote sensing method has many advantages such as large coverage, multi-temporal dynamic monitoring and historical monitoring backward. In this paper, remote sensing images from Landsat-5, Landsat-7 and CBERS-1 satellites are acquired for extracting shoreline, inning and tidal flat information. The characteristics of inning and inter-tidal flat are analyzed. Then, the spatio-temporal evolvement of inter-tidal flat under the influence of inning projects is presented. The work shows that the remote sensing technology is a valuable method for multi-temporal dynamic monitoring and historical backward monitoring for estuarine tidal flat, and that inter-tidal flat evolvement is influenced by inning projects mainly.
Wind wind stress and drag coefficient of ocean surface are very important parameters in the studies of ocean and atmospheric dynamics especially in that of air-sea interaction. It is shown in this paper that wind wind stress and drag coefficient of ocean surface can be measured remotely with high resolution by synthetic aperture radar (SAR). A model has been developed based on SAR imaging mechanisms of ocean surface capillary waves and short gravity waves. A Radarsat SAR image of coastal ocean of south of Hainan Island has been used to calculate wind stress and drag coefficient. Good results have been achieved.
This paper describes the survey of Zhoushan archipelago and Ningbo depth port group in east China Zhejiang province using TM/ETM+ SPOT ERS-2 SAR and NOAA-AVHRR remotely sensed data and the general data. TM/ETM+ and SPOT remote sensing images are used to obtain the information of ports status shoreline types and storage field. Images of ERS-2 SAR are applied to survey the oceanic environment factors such as front and internal wave. TM/ETM+ and NOAA-AVHRR data are employed to detect the suspend sediment. Finally based on the survey results the assessment ofthe depth port resource of the study area is brought out.
The image spectrum ofthe Chinese airborne synthetic aperture radar (SAR) has been simulated using a simulation model based on the closed nonlinear integral transformation. The results of the simulation have been used to study the ocean wave imaging mechanism. The ability of the Chinese airborne SAR to observe ocean waves in the China Seas is discussed.
Synthetic aperture radar (SAR) remote sensing ofthe ocean from space in China began in the early 1990s. This paper presents the research and marine applications of synthetic aperture radar technique in China. Research activities in SAR remote sensing range from basic research to technique development. Basic research has been focused on studies of SAR imaging mechanisms. Technique development has been given to methodology for extracting information about sea surface waves internal waves water bottom topography and ship detection. Applications of SAR data include the study of oceanic phenomena and coastal environmental monitoring. Some examples are presented. Future research and applications are discussed.
An IKONOS image was used to examine the spatial complexity of the band spectra of remote sensing. Triangular prism method and double blanket method were applied to calculate the fractal dimensions of all bands for each land cover type. The results show the image texture characteristics of the images by bands and land cover types. As the conclusions, the fractal dimensions of all bands of each land type range between 2.0 and 3.0. But different type sub-images show different complexities, thus different dimensions. Dimension values reflect spectral characters and spatial characters of sub-images. Thus, it is believed that the measurement and analysis of land cover can be more effectively and efficiently realized using fractal characterization of high spatial and spectral resolution remote sensing data.
This paper provides a useful method to derive coastline information from TM/ETM imagery. When the accurate cartography data of study district are rare or out of date, the data of remote sensing (RS) are further more important. It gives the data processing workflow and the necessary working steps to be taken in the processing of coastline fetching. The coastline information in Fujian province of China is derived using this method and it fits the 1:100000 scale map very well. At last, as an argument, a kind of high resolution RS data, IKNOS imagery is also presented, which will be mainly used in the coastline information fetching in the future.
A weighted neighbour intensity interpolation for resampling of remote sensing imagery has been developed. Examples of the resampling of SeaStar SeaWiFS images by the interpolation are presented in this paper. The weighted neighbour intensity interpolation has been compared with other intensity interpolations. Advantages and disadvantages of the weighted neighbour intensity interpolation over others have been discussed.
The amplitude of internal waves is very difficult to retrieve from satellite. In this paper, a method is given to estimate the amplitude of nonlinear internal waves from synthetic aperture radar (SAR) imagery. It is assumed that the observed groups of nonlinear internal wave packets on SAR imagery are generated by local semidiurnal tides. The mean distance between the leading crest of two successive wave packets has been used to derive the group velocity of the nonlinear internal waves. The amplitude of nonlinear internal waves has been calculated from a model which consists of the KdV equation, action balance equation and Bragg scattering model. Case studies in China Seas show reasonable results.
Multi-parameter synthetic aperture radar (SAR) are significant approaches for acquiring multi-factor information of ocean. It is known to require real and quantitative detection of sea shallow bottom topography and coastal zones and so on that are the parts as complex oceanic objects. The basic principles on multi-parameters SAR remote sensing are introduced at the first in the paper. Imaging mechnisms and the technologies of their studies by multi-parameter SAR are described. Information extraction of ocean shallow bottom topographies etc and their some results are dealt with in detail. Discussions and conclusions are conducted at the end of the paper.
The dynamic and random processes of ocean features and their multi-element mixs make the detections of ocean phenomena and information seperations so much complicated. The multi-parameter synthetic aperture radar (SAR), including multi-frequencies, multi-polarizations, multi-incident angles multi-resolutions and multi-swaths etc., are quite significant approaches in order to obtain a lot of oceanic multi-elements and the parameter estimations of these elementss according to SAR images. In the paper, the complication of the ocean processes and their application needs as well as multi-parameter SAR remote sensing abilities are briefly introduced at the first. The remote sensing principles and methodologies of multi-parameter SAR studying on complicated oceanic dynamic features are described. Multi-parameter SAR simulations and detections of sea surface waves, internal waves, currents and sea surface winds etc. are studied in detail. The further development of multi-parameter SAR systems and their potential in ocean applications is discussed and concluded at the final.
China is one of the largest oceanic countries in the world. China Seas, particularly southern CHina sea areas, is often dominated by rainy, foggy and cloudy weather that it is difficult to detect the near-real time, continuous marine environmental conditions, such as wind fields, surface waves, surface current and tidies, meso-scale eddies, fronts and coastal dynamic changes etc. SAR becomes a powerful tool for observing oceanic phenomena. In the paper, SAR, imaging, remote sensing methods and information extraction of oceanographic features are presented and analyzed in detail. The end of the paper, the potential of SAR images in marine applications is summarized.
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