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1.
R K Sarangi Prakash Chauhan Shailesh Nayak 《Journal of the Indian Society of Remote Sensing》2001,29(4):197-201
Remote sensing of ocean colour yields information on the constituents of sea water, such as the concentration of phytoplankton
pigments, suspended sediments and yellow substances. It is well understood that the study of ocean colour is significantly
related with the primary production and zonation of potential fishing sites in coastal and oceanic waters. The major pigment
constituent is predominated by chlorophyll-a (ocean colour pigment of phytoplankton). The chlorophyll mapping on regular basis
plays a major role in assessing water quality and classifying different water types. IRS P-3 MOS-B satellite data for three
consecutive passes of path 94, during the period of January-February 1997 have been used to derive chlorophyll-a concentration.
The present study emphasizes on the chlorophyll mapping using IRS-P3 MOS-B data for the coastal and offshore water of Maharashtra
coast, India. 相似文献
2.
Occurrence of cloud cover over remotely sensed area is a significant limitation in the ocean colour and infra-red remote sensing applications, especially when operational use of such a data is considered. A method for the reconstruction of missing data in remote sensing images has been proposed. It is based on complementing satellite data with the corresponding information from other sources of data, in our tested case it was the ecohydrodynamic model. The method solves the problem the presence of a cloud cover also during an extended period. Unlike in many other similar methods, emphasis has been put on retaining remotely sensed information to a high degree and preserving local phenomena that are usually difficult to capture by other methods than satellite remote sensing. The method has been tested on the Baltic Sea. Sea surface temperature and chlorophyll a concentration estimated from satellite data, ecohydrodynamic models and merged product were compared with in situ data. The algorithm was optimized for the two parameters that are crucial for e.g. creating algae bloom forecasts. The root mean square error (RMSE) of the final product of sea surface temperature was 0.73 °C, whereas of the input satellite images 1.26 °C or 1.33 °C and of model maps 0.89 °C. The error factor of chlorophyll a concentration product was 1.8 mg m−3, in comparison to 2.55 mg m−3 for satellite input source and 2.28 mg m−3 for the model one. The results show that the proposed method well utilizes advantages of both satellite and numerical simulation data sources, at the same time reducing the errors of estimation of merged parameters compared to similar errors for both primary sources. It would be a valuable component of fuzzy logic and rule-based HABs prediction. 相似文献
3.
中国风云3号B星(FY-3B)上的微波成像仪MWRI通过5个频率(10.65 GHz,18.7 GHz,23.8 GHz,36.5 GHz和89.0 GHz)的双极化通道对地球表面进行监测。研究表明,MWRI资料的低频波段数据中存在着无线电频率干扰(RFI)现象,这些污染信号对遥感数据和反演产品质量产生极大的影响。本文尝试使用多通道回归方法和双主成分分析(DPCA)方法识别MWRI的10.65 GHz水平通道亮温海洋区域中的RFI信号。结果表明,双主成分分析法可以有效地识别出海洋上的RFI信号。微波成像仪10.65 GHz水平通道亮温数据中的RFI信号主要分布在地中海等欧洲附近海域,也存在于美国、日本、澳大利亚等近岸地区。 相似文献
4.
卫星海洋水色遥感信息特征量的研究 总被引:9,自引:0,他引:9
首先从卫星海洋水色遥感机理出发,提出了水色遥感信息的两个特征量──归一化反照率(Albedo)和辐射信噪比(SNR)。其次,针对中国“九五”期间计划发射的海洋水色卫星的轨道参数和安装在卫星上的水色扫描仪(COCTS)水色通道为对象,上中国海区为遥感目标,通过两个特征量的模拟计算结果,进行了大洋和沿岸两类不同水体信息特征量的比较。最后,研究了信息特征量的时间和空间响应。研究的结果为中国计划发射的海洋水色卫星图像质量预测和应用潜力的评估提供了一定的科学依据。 相似文献
5.
6.
Mean sea surface heights and residual radial orbit errors are estimated simultaneously in a single global crossover adjustment
of multiple cycles of satellite altimetry data. The rank defect inherent in the estimation problem is explicitly identified
and treated in various ways to give solutions that minimise (in norm) either orbit errors or mean sea surface heights. The
rank defect gives rise to geographically correlated orbit error, consisting of those components of the orbit error or those
components of the map of sea surface heights which fall within the nullspace of the estimation problem and which cannot be
distinguished as orbit error or ocean signal. We show that, in the case of Topex/Poseidon data, the geographically correlated error consists largely of long-wavelength and long-period sea surface fluctuations, which
in the past has often been assigned as orbit error.
Received 11 September 1995; Accepted 2 September 1996 相似文献
7.
《Geoscience and Remote Sensing Letters, IEEE》2009,6(3):373-377
8.
The determination of local geoid models has traditionally been carried out on land and at sea using gravity anomaly and satellite
altimetry data, while it will be aided by the data expected from satellite missions such as those from the Gravity field and
steady-state ocean circulation explorer (GOCE). To assess the performance of heterogeneous data combination to local geoid
determination, simulated data for the central Mediterranean Sea are analyzed. These data include marine and land gravity anomalies,
altimetric sea surface heights, and GOCE observations processed with the space-wise approach. A spectral analysis of the aforementioned
data shows their complementary character. GOCE data cover long wavelengths and account for the lack of such information from
gravity anomalies. This is exploited for the estimation of local covariance function models, where it is seen that models
computed with GOCE data and gravity anomaly empirical covariance functions perform better than models computed without GOCE
data. The geoid is estimated by different data combinations and the results show that GOCE data improve the solutions for
areas covered poorly with other data types, while also accounting for any long wavelength errors of the adopted reference
model that exist even when the ground gravity data are dense. At sea, the altimetric data provide the dominant geoid information.
However, the geoid accuracy is sensitive to orbit calibration errors and unmodeled sea surface topography (SST) effects. If
such effects are present, the combination of GOCE and gravity anomaly data can improve the geoid accuracy. The present work
also presents results from simulations for the recovery of the stationary SST, which show that the combination of geoid heights
obtained from a spherical harmonic geopotential model derived from GOCE with satellite altimetry data can provide SST models
with some centimeters of error. However, combining data from GOCE with gravity anomalies in a collocation approach can result
in the estimation of a higher resolution geoid, more suitable for high resolution mean dynamic SST modeling. Such simulations
can be performed toward the development and evaluation of SST recovery methods. 相似文献
9.
介绍低轨卫星计划的发展情况及温度和气压的反演过程,讨论和分析CHAMP掩星数据采用不同上边界高度反演的温度值。结果表明:上边界高度值越大,反演的温度阔线精度越高;上边界高度值越小,模型误差对温度和气压反演精度影响越大。 相似文献
10.
The red edge position (REP) in the vegetation spectral reflectance is a surrogate measure of vegetation chlorophyll content, and hence can be used to monitor the health and function of vegetation. The Multi-Spectral Instrument (MSI) aboard the future ESA Sentinel-2 (S-2) satellite will provide the opportunity for estimation of the REP at much higher spatial resolution (20 m) than has been previously possible with spaceborne sensors such as Medium Resolution Imaging Spectrometer (MERIS) aboard ENVISAT. This study aims to evaluate the potential of S-2 MSI sensor for estimation of canopy chlorophyll content, leaf area index (LAI) and leaf chlorophyll concentration (LCC) using data from multiple field campaigns. Included in the assessed field campaigns are results from SEN3Exp in Barrax, Spain composed of 35 elementary sampling units (ESUs) of LCC and LAI which have been assessed for correlation with simulated MSI data using a CASI airborne imaging spectrometer. Analysis also presents results from SicilyS2EVAL, a campaign consisting of 25 ESUs in Sicily, Italy supported by a simultaneous Specim Aisa-Eagle data acquisition. In addition, these results were compared to outputs from the PROSAIL model for similar values of biophysical variables in the ESUs. The paper in turn assessed the scope of S-2 for retrieval of biophysical variables using these combined datasets through investigating the performance of the relevant Vegetation Indices (VIs) as well as presenting the novel Inverted Red-Edge Chlorophyll Index (IRECI) and Sentinel-2 Red-Edge Position (S2REP). Results indicated significant relationships between both canopy chlorophyll content and LAI for simulated MSI data using IRECI or the Normalised Difference Vegetation Index (NDVI) while S2REP and the MERIS Terrestrial Chlorophyll Index (MTCI) were found to have the strongest correlation for retrieval of LCC. 相似文献
11.
精密卫星钟差加密方法及其对星载GPS低轨卫星定轨精度影响 总被引:7,自引:0,他引:7
韩保民 《武汉大学学报(信息科学版)》2006,31(12):1075-1078
系统分析、比较了几种精密卫星钟差加密方法,研究了利用全球分布的IGS永久跟踪站的GPS观测数据估计高采样率卫星钟差参数的原理与方法,并将各种卫星钟差加密方法得到的结果与IGS数据分析中心估计的卫星钟差结果相比较。最后将不同加密方法得出的精密卫星钟差结果用于基于星载GPS双频非差观测值的CHAMP低轨卫星的定轨,并将不同方法得到的定轨精度进行比较。结果表明,利用地面跟踪站的GPS观测数据,可高精度、高密度地估计GPS卫星钟差,估计精度可达0.1~0.5ns。经地面GPS跟踪站数据估计的GPS卫星钟差,应用于基于PPP方法的低轨卫星定轨,其定轨精度在10cm以内。 相似文献
12.
13.
基于季节分异的太湖叶绿素浓度反演模型研究 总被引:4,自引:0,他引:4
叶绿素浓度反演算法主要有经验方法、半经验/分析方法和分析方法,其中半经验/分析方法应用最为广泛。但是反演的模型以及模型中的参数和反演精度都随着水体中叶绿素浓度的变化而改变。不同的季节水体中叶绿素浓度不同,水体反射光谱曲线特征和与叶绿素浓度相关性较高的敏感波段也不一致,使得各季节选用的反演模型和模型中的参数也存在一定的差异。本文在对2005年1—10月份叶绿素a(Chla)浓度季节差异进行分析的基础上,对4—10月份同步测量的水体光谱数据分春、夏、秋三个季节进行分析,分季节建立叶绿素浓度反演模型,并对它们进行比较,旨在为各季节选择最佳的反演模型。研究结果表明:春季和秋季选用波段比值算法反演精度较高,其中对数模型,线性模型和一元二次模型都有较高的相关性;夏季选用微分算法较好,该算法所建立的三种模型均具有较高的相关性。 相似文献
14.
A multi-technique approach for characterizing the SVN49 signal anomaly, part 2: chip shape analysis 总被引:2,自引:1,他引:1
Steffen Thoelert Michael Meurer Stefan Erker Oliver Montenbruck André Hauschild Pat Fenton 《GPS Solutions》2012,16(1):29-39
Due to a satellite internal reflection at the L5 test payload, the SVN49 (PRN1) GPS satellite exhibits a static multipath
on the L1 and L2 signals, which results in elevation-dependent tracking errors for terrestrial receivers. Using a 30-m high-gain
antenna, code and carrier phase measurements as well as raw in-phase and quadrature radio frequency samples have been collected
during a series of zenith passes in mid-April 2010 to characterize the SVN49 multipath and its impact on common users. Following
an analysis of the receiver tracking data and the IQ constellation provided in Part 1 of this study, the present Part 2 provides
an in-depth investigation into chip shapes for the L1 and L2 signals. A single reflection model is found to be compatible
with the observed chip shape distortions and key parameters for an elevation dependent multipath model are derived. A good
agreement is found between multipath parameters derived independently from raw IQ-samples and measurements of a so-called
Vision Correlator. The chip shapes and their observed variation with elevation can be used to predict the multipath response
of different correlator types within a tracking receiver. The multipath model itself is suitable for implementation in a signal
simulator and thus enables laboratory testing of actual receiver hardware. 相似文献
15.
Retracking considerations in spaceborne GNSS-R altimetry 总被引:1,自引:0,他引:1
Hyuk Park Adriano Camps Enric Valencia Nereida Rodriguez-Alvarez Xavier Bosch-Lluis Isaac Ramos-Perez Hugo Carreno-Luengo 《GPS Solutions》2012,16(4):507-518
The European Space Agency Passive Reflectometry and Interferometry System In-orbit Demonstrator (IoD) aims to perform mesoscale altimetric observations by measuring the Global Navigation Satellite System (GNSS) opportunity signals reflected over the sea surface. Altimetry based on GNSS reflectometry (GNSS-R) is significantly affected by satellite motion, since it requires relatively long integration times to reduce noise. We present the impact of the satellite motion on the GNSS-R observables and the need to retrack the waveforms. By using a detailed GNSS-R space mission simulator, the change of delay difference between the direct and the reflected signals during the incoherent averaging of the waveform has been investigated. Their effects on the waveform shape and the altimetric performance are presented comparing the aligned and non-aligned waveforms. Results show that the performance of spaceborne GNSS-R altimeter is seriously degraded without a proper alignment of the waveform samples. 相似文献
16.
T. Preethi Latha P. V. Nagamani K. H. Rao S. K. Dash S. B. Choudhury Aziz Rehman V. V. S. S. Sarma M. Naveen Babu P. Amarendra B. Srinivasa Rao T. D. V. Prasad 《Journal of the Indian Society of Remote Sensing》2014,42(1):129-138
In this study chlorophyll measurements were made during March 2012 in the estuarine waters of Off Kakinada and Yanam coast, Bay of Bengal onboard a coastal vessel. In-situ water samples and optical data was collected at 21 stations (surface to 150 m depth) using Underwater radiometer (Hyperpro-II). In-vivo chlorophyll profiles were collected using wet labs fluorometer integrated with underwater Hyperspectral radiometer. Chlorophyll-a concentrations were estimated using HPLC by collecting the water samples at each sampling location. And also chlorophyll-a concentrations were retrieved from the OCM-2 data of OCEANSAT-2 satellite, processed using SeaDAS v.6.2 with the available global ocean colour algorithms namely, OC2 and OC4V4. A total of 33 samples used covering all the stations for chlorophyll-a estimation, and surface water samples of all the stations only being used for direct comparison among chlorophyll concentrations of HPLC, in-situ (fluorometrically integrated to Hyperpro-II) and retrieved from OCM-2. A good correlation found between the Fluorometer derived and HPLC measured chlorophyll-a concentration with an R2 value of 0.78. The relation between Chlorophyll-a concentration measured from HPLC and retrieved from OCM-2 (OC2 and OC4V4 algorithms) using SeaDASv.6.2 for 10 samples has been compared for validation and obtained an R2 value of 0.6. Also comparisons done with the in-situ measured (fluorometer) Chlorophyll-a concentration with OCM-2 chlorophyll data (OC4-V4 and OC2 algorithms) and validation with 10 concurrent in-situ surface measurements showed a significant overestimation by OCM-2 at low chlorophyll-a concentrations and underestimation at high chlorophyll-a concentrations. 相似文献
17.
中国东海叶绿素浓度变化分析及其海水温度响应 总被引:1,自引:0,他引:1
海洋叶绿素浓度时空格局分析及与海水温度的响应研究对于海洋资源的开发和保护及赤潮的预防具有重要意义。本文基于2004—2018年东海叶绿素浓度和海水温度数据运用趋势分析及ArcGIS10.2软件,对东海叶绿素浓度作了时空分析研究,并结合海水温度进行了回归分析,以探究叶绿素对海水温度变化的响应机制。结果表明:①东海叶绿素浓度在2004—2018年间没有明显的年际变化特征。年内则随时间上下波动,冬季为波峰,夏季为波谷。离海岸带越近,叶绿素浓度越高。②东海海域海水温度在年际尺度上呈波动式起伏变化。在季节尺度上夏秋两季温度较高,春季次之,冬季最低。从沿海到外海海域海温逐渐升高。③就空间相关性而言,东海海域叶绿素浓度与海水温度整体呈负相关,在不同海域相关程度不同。长江口和外海区域叶绿素浓度与海水温度具有很强的相关性;在沿海区域,由于受到城市环境、经济发展及人类生产生活的影响,海水温度与叶绿素浓度的相关性不明显。 相似文献
18.
Sanjeev P. Deshpande K. V. Radhakrishnan U. Gopalakrishna Bhat 《Journal of the Indian Society of Remote Sensing》2011,39(4):547-554
The technique of predicting Potential Fishing Zone using satellite derived sea surface temperature and chlorophyll is becoming
an important aspect for the fishermen. In the present study an attempt has been made to compare fish density/catch per unit
effort in the areas predicted by Satellite imagery and available to fishermen via electronic display boards at the fish landing
centers of Uttara Kannada district, Karnataka with those of non predicted areas. Direct and Indirect validation was done.
Direct method means comparing the catch using fishing vessels simultaneously in the notified region with that of catch from
non notified region. And in indirect method by comparing catch data from landing centers on notified days with that of non
notified days. Direct validation off Karwar showed that catch was significantly higher in notified (PFZ) area with high densities
as compared to non notified (non PFZ) regions. When comparisons of landing center data of Karwar, Tadadi and Bhatkal are done
it is evident that in all the centers during the period under study, higher catches were observed on notified days than non
notified days except in Bhatkal centre in 2009–10. There by validating the accuracy of PFZ predictions and economic gains
to fishermen. 相似文献
19.
快速反演(FDI)算法是一种典型的星载全球卫星导航反射技术(GNSS-R)海面风速反演方法,具有计算复杂度低、快速实时反演的特点,但是FDI算法中的反演观测量提取精度不高,导致风速反演精度低. 针对于此,提出基于观测量校正的改进FDI算法,用于实现海面风速的快速高精度反演. 该方法首先利用辅助测量信息对观测量进行校正以降低干扰因素的影响,然后基于统计分析方法对ASCAT卫星风速数据进行海面风速值提取,最后建立了海面风速与校正观测量的地球物理模型函数(GMF)关系式,实现对海面风速的反演. 与传统FDI算法相比,该方法的反演偏差值更小,均方根误差(RMSE)降低了29%. 相似文献
20.
Tran N. Girard-Ardhuin F. Ezraty R. Feng H. Femenias P. 《Geoscience and Remote Sensing Letters, IEEE》2009,6(1):77-81
This letter presents the development of a sea ice flag algorithm for the Envisat altimetry mission to detect sea ice corrupted sea surface height data within quality control processing. The algorithm takes advantage of having both passive and active microwave sensors on the same platform with coregistered measurements. Its performances have been evaluated based on collocations between the along-track Envisat data with reference maps built from combination of daily grids of sea ice concentration from SSM/I sensors and backscatter cross section from SeaWinds scatterometer on QuikSCAT satellite. 相似文献