Data fusion technique for multibeam echosoundings

On the basis of an analysis of the error sources in multibeam echosounding system, a data processing method for compensating systematic errors in multibeam survey is proposed. In order to improve the accuracy of overall swath, a data fusion technique using single beam survey data as control information for single beam and multibeam echosounding is then presented. Some questions involved in solving the adjustment problem, such as its feasibility and the numerical stability, are discussed in detail, and a two-step adjustment method is suggested. Finally, a practical survey data set is used as a case study to prove the efficiency and reliability of the proposed methods.     

省级似大地水准面的局部再精化

本文利用少量新的高程异常控制点作为公共点,结合高精度的原省级似大地水准面模型,计算出公共点的高程异常残差,采用多面函数法对其进行数学拟合,获得待求点的高程异常改正数,可大幅提高省级似大地水准面模型的局部精度,是一种简单有效和切实可行的省级似大地水准面局部再精化方案,并给出了实例证明.     

基于CGCS2000的平面坐标系的选取

本文研究了CGCS2000启用后选择城市平面坐标系的方法,提出了以大地高分布数据上投影变形符合限差的点数百分比最大为重要准则,用于选取城市平面坐标系的方法。并以N市为例,利用N市大地高分布数据进行验证,相比常规方法,该方法能更全面、客观地反映区域地形起伏等因素对长度变形产生的影响。     

Separation problem in satellite gravimetry

The problem of separating gravitation from inertia is discussed in very general sense, and the conclusion is positive: man can separate gravitation from inertia, if various observation techniques are applied for. The accelerometer’s position problem in satellite gravimetry is investigated, and the additional acceleration effect due to the position error of an instrument as well as the difference between the mass center and the gravity center is explored.     

A new method for indentifying the model error of adjustment system

Some theory problems affecting parameter estimation are discussed in this paper. Influence and transformation between errors of stochastic and functional models is pointed out as well. For choosing the best adjustment model, a formula, which is different from the literatures existing methods, for estimating and identifying the model error, is proposed. On the basis of the proposed formula, an effective approach of selecting the best model of adjustment system is given.     

Evaluation of fuzzy-based classifiers for cotton crop identification

In this study, an evaluation of fuzzy-based classifiers for specific crop identification using multi-spectral temporal data spanning over one growing season has been carried out. The temporal data sets have been georeferenced with 0.3 pixel rms error. Temporal information of cotton crop has been incorporated through the following five indices: simple ratio (SR), normalized difference vegetation index (NDVI), transformed normalized difference vegetation index (TNDVI), soil-adjusted vegetation index (SAVI) and triangular vegetation index (TVI), to study the effect of indices on classified output. For this purpose, a comparative study between two fuzzy-based soft classification approaches, possibilistic c-means (PCM) and noise classifier (NC), was undertaken. In this study, advanced wide field sensor (AWiFS) data for soft classification and linear imaging self scanner sensor (LISS III) data for soft testing purpose from Resourcesat-1 (IRS-P6) satellite were used. It has been observed that NC fuzzy classifier using TNDVI temporal index – dataset 2, which comprises four temporal images performs better than PCM classifier giving highest fuzzy overall accuracy of 96.03%.     

Mapping burns and natural reforestation using thematic Mapper data

Remote sensing techniques are specially suitable to detect and to map areas affected by forest fires. In this work, Landsat 5 Thematic Mapper (TM) data has been used to study a number of forest fires that occurred in the province of Valencia (Spain) and to monitor the vegetation regeneration over burnt areas.

A reference area (non‐burnt forest) was established to assess the change produced by fire. The radiance in the thermal band (10.4–12.5 μm) and the normalized difference in reflectance between near 1R (0.76–0.90 μm) and middle IR (2.08–2.35 μm) were the most suitable parameters to map burnt areas. This index can also be used for monitoring vegetation regeneration in burnt areas. About a month after the fire, the burns show temperatures of 5–6 °C higher than those found in the reference area, and the vegetation index shows negative values whereas the reference area values remain positive. The differences between the burns and the reference area for the vegetation index decrease with time as vegetation regenerates.     

Application of Backward Nonlinear Local Lyapunov Exponent Method to Assessing the Relative Impacts of Initial Condition and Model Errors on Local Backward Predictability

Initial condition and model errors both contribute to the loss of atmospheric predictability. However, it remains debatable which type of error has the larger impact on the prediction lead time of specific states. In this study, we perform a theoretical study to investigate the relative effects of initial condition and model errors on local prediction lead time of given states in the Lorenz model. Using the backward nonlinear local Lyapunov exponent method, the prediction lead time,also called local backward predictability limit(LBPL), of given states induced by the two types of errors can be quantitatively estimated. Results show that the structure of the Lorenz attractor leads to a layered distribution of LBPLs of states. On an individual circular orbit, the LBPLs are roughly the same, whereas they are different on different orbits. The spatial distributions of LBPLs show that the relative effects of initial condition and model errors on local backward predictability depend on the locations of given states on the dynamical trajectory and the error magnitudes. When the error magnitude is fixed, the differences between the LBPLs vary with the locations of given states. The larger differences are mainly located on the inner trajectories of regimes. When the error magnitudes are different, the dissimilarities in LBPLs are diverse for the same given state.     

豫中地区隐伏铝土矿资源潜力预测

豫中地区是河南省铝土矿的主要产区,通过总结该区铝土矿的成矿规律、分布特征、找矿标志及已有铝土矿及煤矿的勘查资料,系统地编制石炭系上统本溪组铝土矿含矿岩系的底板埋深等深线图,对不同埋深的隐伏铝土矿资源量进行了定量预测,划分了预测区类型。指出该区隐伏铝土矿潜在资源量112142.90万吨,尚有未探明资源量76641.48万吨。     

风电场风资源代表年分析法

针对代表年常规方法的局限性,采用风速年景划分法对风场风资源代表年进行订正。该方法弥补了常规方法的不足,且计算简单,便于应用。