In the course of the catastrophic flood this year,China Remote Sensing Satellite Ground Station(RSGS),utilizing Radarsat,Which is up to now the advanced civil microwave radar satellite in the world and lanched by Canada in 1995,undertaked full-field monitoring,repeatedly on the Changjiang River valley and the Nen-Snog valley with dynarmic frequency of every three days from the middle of July,which has taken important effects on relevent departments' timely keeping abreast of flood situation.This paper briefs the technology characteristics of Radarsat SAR and its positive role in high-speed response on the flood of this year.
This article aimed to develop a method to enhance the settlement information by mining the texture information reflected in the JERS-1 SAR imagery.The texture information can be estimated by using gray level co-occurrence matrix from which 12 texture images can be derived.Two texture images with lowest co-relationship with other texture images were selected by correlation analysis,and processed together with original image.We applied the method to the JERS-1 SAR imagery covering Dongting Lake area.Firstly,the twelve texture imageries were produced from the primary imagery by using gray level co-occurrence matrix. Secondly correlation analysis was used among all of theses imageries.Finally, false color composite was applied among three imageries from all of the imageries on the basis of the results of correlation analysis in order to choice best imageries combina-
tion.The results of the research show that it is effective to enhance settlement information by using the method.
Using Thematic Mapper data,to extracting thematic information,the article explores two kinds of techniques:Separate technique and mask technique,for degrading vegetable cover effects.The article introduces classified reason,principle and result of several methods com- prised in the two techniques,at last advocates to apply suitable methods according to terrain.
Comparing with the kinds of different information sources of remote sensing,this paper elaborates the interpretion and analysis of desertified land and others and then carries on valuation of precision on the general investigation.The result shows that remote sensing technology is a rapid,accurae and economical method for the general investigation of desertification.At the same time,it will be used for monitoring,controlling of desertification in the future.
This paper describes a project that the earth can be observed in the staring mode with the high-resolution solid-state imaging device on the geostationary orbit,and according to the current solid-state imaging devices,gives an imager design employing 5 000-by-5 000 elements CCD and 1 000-by-1 000 elements infrared FPA,similar to the five-channel Visible-Infrared Imager on GOES-8 and GOES-9 in performance.The analysis results indicate that it is a very attractive project in the meteorological and ocean remote sensing to observe the earth in the staring mode on the geostationary orbit.
According to the reality of agro-meteorological operational services in Henan Province and based on systematic researches into the monitoring theories,models,data processing,index and application technique of NOAA/AVHRR remote sensing,the monitoring model of NOAA/AVHRR remote sensing on winter wheat drought has been developed.Some questions existing in this field such as the influence of various soil types and wind velocity on the remote sensing monitoring for drought,the coupling of soil surface layers moisture with that of the deep layers and the method for retrieving soil moisture using single phase remote sensing data etc.,have been further studied with GIS technology.The results showed that the retrieving effects of distinguishing soil types are better than those of undistinguishing soil types,the influences of wind velocity in retrieving moisture of soil surface layers should be considered,but not in deep soil layers and the effects that retrieve the deep soil layers moistures in terms of the soil surface moisture obtained by remote sensing are better than these creating statistical models directly by distinguishing soil types,because a good nonlinear relation exists between the soil surface layer mositure and deep soil layers moisture.Under the condition of considering the factors of temperature and vegetation,the accuracy of retrieving soil moisture by means of single-phase remote sensing data is a little bit higher than that by using the method of thermal inertia.The basic integrating application of GIS and RS has been realized and the accuracy of integrating for remote sensing drought has been improved with some connection software.Finally,the application services system of monitoring winter wheat drought in Henan Province has been established.
In this paper,SMMR data of snow cover in western China have been preliminarily evaluated by using GIS method.The results show the degree to which each individual MMR file was offset varied according to physiographic region.The two regions with the highest elevations,the plateau and the high mountains,required the largest microwave adjustment,8 cm and 6 cm respectively,the low mountains and the basin required no offset,while the lower elevation rolling hills need an offset of 4 cm.Regional differences in the
stepwise adjustment of the SMMR data may be attributed not only to elevation,but also to surface properties such as soil, egetation, and slope.
The advanced FFT and PPP method are presented to decrease effect of noise on spectrum parameters,thus some satisfactory spectrum parameters are obtained under the condition of weaker signal and bigger spectrum width The experiment shows:the result is better than value gained by primary FFT and PPP method,and some conclusions are given nd discussed.
This paper reviewed the ground-base remote sensing measured of optics,microwave and atmosphere remote sensing in China 1990s' .It' s shown by those research work that he ground-base remote sensing measured is the necessary basic work for the analysis and application of the air-base remote sensing information and play an important role for increasing the quantitative level of the air-base remote sensing information.According to the analysis the question of the ground-base remote sensing position measured also are found ut.The major question is that the stability and frequence of the position measured is lower.The ground-base position measured need to be enhanced from time and space dimensions to provide effective field data to support the quantitative analysis of the air-base remote sensing information.
Remote Sensing Image System(RSIS) is the basic tool for the research of remote sensing technology and application.In this paper we review the developing history of RSIS rom hardware and software' s view.Based on that ,we present the developing trend of future RSIS,and make a reference for developing our own RSIS.
