15 March 1996, Volume 11 Issue 1
    

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  • Remote Sensing Technology and Application. 1996, 11(1): 1-6. https://doi.org/10.11873/j.issn.1004-0323.1996.1.1
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    Mingle spectrum caused by the different landcover’s spectrum mixing in one pixel on remote sensing image is the main reason to restrin the improvement of recognition precision.Spectral image is useful data to discriminate landcover, DN distribution curve in wavelength (band) order for each pixel or window on it can be obtained easily. In fact the DN curve represents the corresponding landcover’s spectrum in field by the image radiometric correction processing, the DN curve is the mingle spectrum usually. Wavelet transform is a useful method decomposing mingle spectrum into different frequency spectra which correspond to the different landcovers. Fractal dimension is the excellent index to represent these complex curves shape.By analysising the difference of the decomposed curves with the standard landcover spectrum that the landcover is to be reconized we can discriminate and recognize successfully with the spectral image. The reconizing model presented in this paper obviously has improved the recognizing accuracy of landcover, especially minerization feature, the component of landcover and the hydrocarbon microseepage in the soil from the underground oil pools etc.
  • Remote Sensing Technology and Application. 1996, 11(1): 7-13. https://doi.org/10.11873/j.issn.1004-0323.1996.1.7
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    Thermal infrared multispectral scanner (TIMS) remote sensing is a new technology for resources exploration which has been developed since 1980’s. It mainly detect the thermal radiation information of different ground objects, and the information include emission spectrum and surface temperature. All the spectral feature of ground objects in thermal infrared region are the function of wavelength, they are mainly related with the component and texture of ground objects. Therefore,the different gro.
  • Remote Sensing Technology and Application. 1996, 11(1): 14-21. https://doi.org/10.11873/j.issn.1004-0323.1996.1.14
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    Atmospheric spectral extinction measurements for the Gobi Desert were performed with a spectroradiometer and a Halon standard reference during June 1994 at the Gobi of Dunhuang,China. Optical thickness and the size distribution of aerosol particles were retrieved from results of the measurements and some related data. The comparison between the results of the measurements and those measured at some eastern parts of China shows that the aerosol model of the site was similar to the rural ones of these eastern parts of China,and also indicates that there is a certain proportion of large particles(r≥1. 0μm)in the atmosphere of this site. A comprehensive sensitivity study has also been made using numerical simulation methods to determine the effects of the variations of imaginary parts of the complex refractive index and particulate size on aerosol extinction for visible(0. 55μm)and thermal IR(10. 6 μm) wavelengths. In general,aerosol absorption is linear with imaginary part of refractive index for relatively largeparticles(for example,r=2. 0μm in the paper). For the range of particle radii(0. 01μm≤r≤10. 0 μm)given in this article,aerosol absorption is stronger dependent on the geometric radius of aerosol particulate for the visible wavelengths,and aerosol scattering is almost linear with it for the range 0. 01μm≤r≤0. 02 μm of radii in the same wavelengths.
  • Remote Sensing Technology and Application. 1996, 11(1): 22-26. https://doi.org/10.11873/j.issn.1004-0323.1996.1.22
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    The calculations of ice crystal scattering phase function have been carried out using ray tracing method,without consideration of the absorption,for different shapes of ice crystals often encountered in ice clouds. The results show that 22°and 46°peak are obvious for solid columns;there are small differences between the solid and hollow column phase functions, unless the side wall of the hollow column is very thin,when the hollow radius is around half of the total column radius the weak 120°peak can be seen;an additional peak appreas between 0°and 22°for bullet-like ice crystals. Some scattering characteristics are also explained by the simple geometrical analysis.
  • Remote Sensing Technology and Application. 1996, 11(1): 27-32. https://doi.org/10.11873/j.issn.1004-0323.1996.1.27
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    By means of NOAA/AVHHR data and the observed grassland yield,this paper analysed and modeled the arithmetical relationship between the vegetation index and the fresh grassland weight, meanwhile,predicted the grassland yield in Fukang county. The results indicated that the optimum predicted model,selected by two vegetati on index and seven predicted models,could precisely indicate the grassland yield change in the areas of which the topography is flat and the grassland type has little change. But it is unsuitable to predict the regions where the terrain is complicated and the grassland type changes largely because the predicted stability of the model becomes not very well.
  • Remote Sensing Technology and Application. 1996, 11(1): 33-39. https://doi.org/10.11873/j.issn.1004-0323.1996.1.33
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    Spatial decision support system (SDSS) is driven by the model which is based on geographic information system (GIS). SDSS involves the spatial problems which are hard to describe and to simulate. The paper presents SDSS’s development,function and application. SDSS is the four-bases model which is based on GIS frame: (1)database;(2)model base; (3)methodology base; (4)knowledge base. The design of SDSS is to use the spatial information and nonspatial information which integrate data and model to
  • Remote Sensing Technology and Application. 1996, 11(1): 40-46. https://doi.org/10.11873/j.issn.1004-0323.1996.1.40
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    Experimental area of the stUdy is in forest area in southwest china where forest fires occured frequently and monitoring them was quite difficult. Principal purpose of the study is to increase the accuracy Of discovering forest fire. The study involved imagery processing technique on microcomputer, geographic information system (GIS) and distribudtion law of forest fire as well as information extract technique of forest fire from NOAA-AVHRR data and application of eXpert system (ES). The paper introduced research methods of the study, descriped principle of its achievements and further prospected main research aspectS in this field.

  • Remote Sensing Technology and Application. 1996, 11(1): 47-53. https://doi.org/10.11873/j.issn.1004-0323.1996.1.47
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    This paper discusses in detail future development of geographic information system (GIS)technique in application and research of land management for next decade years. Main contents include development speed of this application, future support of computer hardware and software techniques for this application,data acquisition techniques related to this application and other relevant and important techniques such as modeling,decision support system and image processing techniques. Otherwise,one method of applying both GPS and GIS in land management is also discussed.
  • Remote Sensing Technology and Application. 1996, 11(1): 54-61. https://doi.org/10.11873/j.issn.1004-0323.1996.1.54
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    The approach and steps of computer classification and mapping on digital aerial photo image in a case study of land use mapping of a township is presented in this paper. In order to improve the classification precision the way to construct ’multi-channels has shown that the geographic analysis method still plays a predominated role in the computer classification of land use types. The classified image which has been corrected geometrically and is precise in mathmatical base can be registered wit...

  • Remote Sensing Technology and Application. 1996, 11(1): 67-71. https://doi.org/10.11873/j.issn.1004-0323.1996.1.67
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    In the paper the application of remote sensing technology on the research of the wetland in China are reviewed. The advantage and significance of the remote sensing information for using and protecting the wetland resources are discussed. In the meanwhile, the applied effect and the development trend of remote sensing technology are analsysed.