This papers review the results of scientific researches in Ocean Remote Sensing based on satellite which obtained in 30 years all over the world, involving Ocean color, Ocean surface topography, Ocean surface winds and waves, Ocean ice and oil spill monitoring. In addition, the characteristis of representative instruments equipped on satellites in the world also are listed.

This paper studies the contents, features and scientific expedition of resources and environment information techniques. It puts out the contents including: ①information extracting; ②data base management; ③analyzing on temporal and spatial; ④information transmitting; ⑤virtual reality. It has four distinguish feature: ①multi-science integration; ②spatial feature; ③dynamic change; ④opening and applicance. The last, this paper analyzes the problems of scientific expedition.

Based on the method of neural network ,the paper takes Tibet Qiangtang basin as an example, after analysing the data of geophysics, geochemistry and remote sensing as well as the model of oil prospecting, the author believes that there are obviously a lot of advantages of using the method of neural network to the early of basin appraising.

On the basis of the interpretation of Landsat TMpictures, incorporated with the referencing of the predecessors' literatures and field investigation data, and also by means of computer technique and optical image processing, this paper makes an analysis of water resource in Lunan area, more over, the author makes some important plans to developping and utilizing water resource in Lunan area.

For rice growing areas in the tropics, experience shows that SAR Satellite sensor can provide the desired information due to acquiring images independently of cloud coverage or daylight conditions. The current study testifies the potential of SARdata for rice mapping. This paper discusses the methodology and result of using SARdata and GISin updating rice map for the local government in Zengcheng County of Guangzhou province, South of China. The methodology was carefully laid out and was determined to be easily implemented on a semi-automatic basis to facilitate frequent updating of rice map.

This paper introduces the main contents and working principle of genetic algorithms. Based on the model of thermal radiant directionality of continuous vegetation, genetic algorithm was employed to synchronously retrieve component temperature, LAIand soil emissivity from thermal infrared multi-angle data. Many experiments of genetic algorithm inversion from simulated data were conducted, results show that it is very robust to retrieve component temperature using genetic algorithm. Genetic algorithm can cope with uncertainty inversion problem pretty well if we take full advantage of prior knowledge. The paper offers a new method to retrieve component temperature form multi-angle thermal infrared data based on the model of directionality of thermal radiance.

In this paper, it is explained that the spectrometric data in situ measured by PIS-Btype spectral radiometer, which is made by Shanghai Institute of Technical Physics. Chinese Academy of Sciences, and surface water samples taked with water bucket are used during the test of the water under spectral survey in important East Sea area. After the sediment samples and spectrometric data are treated, the correlation between the spectral reflectance and suspended sediments is quantitatively established by the least square method. The result expresses that the relationship between the spectral reflectance and surface suspended sediments concentration shows exponential function and 555 nm and 670 nm wavelengths are the best wavebands to remotely measure surface suspended sediments in East Sea.

Fuzzy classification method is introduced in this paper. Contrasting with maximum likelihood statistic classification, fuzzy classification shows a better discrimination of crop by using muti-temporal ScanSARdata. Emphasis has been placed on the potential of the combination of contextual classification and fuzzy classification because of the individual feature of radar.

Based on self-organizing network and fuzzy logic reasoning, this paper discusses an adaptive fuzzy rule classifier for landcover classification. The fuzzy rules can be extracted from the nodes and weight vector of network which can adjust the node numbers (rule number accordingly) and weight vector. This classifier finished TMlandcover by fuzzy logic reasoning, and the unclassified pixels increase K adaptively to be classified; It improved 2.7% and 2.9% in overall accuracy and Kapp coefficient compared with MLC, deceased 1% in Kapp coefficient and no change in overall accuracy compared with self-organizing network. How to extract and express the non-spectral knowledge dissolved class confusion, is the key step to improve the classification.

The methodology for the foundation of an agricultural land resource dynamic evaluation model was discussed in this paper by taking Dongying city of Shandong Province as a case study. The result shows that it is an effective way to evaluate agricultural land resource dynmaically by means of using Peng Buzhou etc three men's method of “change weight” for reference, which they used to evaluate the environment synthetical quality, regard it as the model of evaluating land resources and combine it with GIS.

The land remote sensing dynmaic monitoring management information system is a critical component of land dynamic monitoring. On the theoretical basis of image information system designing, this paper gives detailed illustration to the system design and image query methods, analyzes the basic structure of remote sensing image database and in-depth database and their relationship, and realizes the system functions through the expansion of relation databases.