Abstract Since 1980s, A number of large scale of remote sensing investigation for the constraction of hydro-electric powerstation have been gone on in the regions of ErTa of the Yalong River, Three Gorge of the Yangzi River, Long Tan of the Red water River,Long Yang Gorge of the yellow River, and XiLuoDu, BaiHeTan of the Jin Sha River,and soon.By using the methods of the combination of the data of multi-types, multi-temporal,and multi-plateform, and the combination of the image interpretalion and site verification, regional background of geology, the slope stability, land cover, submorge loss,environment of the reser voir and soon were investigated for feasibility demostration of the constraction of the hydro-electic powerstations.The Characteristics of hydro-electric Remote Sensing in China are: the great scale,the extensive investigation, the reasonable methods and to tackle key problems cooperatively.
Abstract This Paper relates the meaning, the character, the type and the feature of geographic information system(GIS). Meanwhile, analysing its development and application prospect in domestic and overseas. Now, It has become a new comprehensive servic trades.In addition, the paper intruduces research on the standardization of geographic info rmation system, GIS combines globe research and remote sening application, especialy developed direction of integration of GIS and remote sensing (RS).
Abstract The remote seusing technique in petroluem exploration department has been made great progress not only in image processing geological application but also in fundamen tal reseanch in recent 10 years. These examples of this kind of application show that remote sensing technique can play an impartant role in oil-gas survey and target evaluti on, in which it combines geophysical data geochemical data and other materials, also it can make use of the remote smsing features of known oil-gas field to analogize and analysis the study areas, then forcast and enlarge the oil-gas range.
Abstract Using aerial remoto sensing photo of different time in different years based on two period of "The map of soil and water loss comprehensive control achievement appraisement",draw a new map──"The dynamic map of soil and water loss comprehensive control achievement appraisement", by trial and research, The dynamic map can audiovisual,clear-cut, fixed site and fixed quantity to show dynamic change of space distribution of comprehensive control achievement appraisement of two periods of investigation region. It’s a effective channel to region dynamic monitor and study.
This paper introduce a method of how to use remote sensing image to define arbitrary tidal line during tidal flat evolution. This method includes how to use graphic method or calculate method to get tidal place correction, which according to the location of timely water place line and combine it with the elevation data of water place line and another tidal place nearby it, in order to fix the place of tidal line. Using this method to investigate tidal flat evolution in Hainan Yangpu district have achieved good result .
A brief introduction about the meteorological satellite operational process system structure and the main key points is given, The emphasis is put on the system application on monitoring grassland resources and snowcover.
Abstract Remotely sensed data can be used to estimate successfully the concentration of sediment in water. Such estimation has relied on relationships between suspended sediment concentration(SSC) Cs and radiation in one or two broad wavebands where it is assumed that the effects of environmental variability (irradiance, subpixel cloud, etc.) are either small, or can be considered as spectrally additive constants in all wavebands.Where these assumptions do not hold, an alternative and theoretically more robust relationship is proposed, that between Cs and derivative radiation (change in radiation per unit wavelength). Measurements of spectral reflectance (Rλ), derivative spectral reflectance(dRλ) and Cs were measured in the laboratory, where the effects of environmental variability were small and at sea where the effects of environmental variability were large. There was a strong correlation between Cs and dRλ both in the laboratory (λmax= -0.98) and at sea (λmax=-0.83) and dRλ was used to estimate Cs in the laboratory to an error of less than 8% of the mean SSC. The correlation between Rλ and Cs was weaker at sea (λmax= 0.46) than in the laboratory (λmax= 0.96). This was due to the presence of large and spectrally variable environmental effects. We recommend the use of derivative spectra for the estimation of Cs when continuous spectra are available.