Shanghai is an early one of citys about using aerial remote sensing. Since 1988, it have been obtained second times to comprehensive survey of aeronautical remote sensing of Shanghai municipality for rationally.Right now, the remote sensing information system has been made. It seems that to combine RS and GIS was well. We have had the information of 61 kinds of acquired achievements, vicissitudes tendency and quantity analysis. Another way,in the investigation of the city's ecological environments and natural hazards were calculated with the urban environments. All of work will have been become the system conjoined on RS, GIS, GPS and ES.
This paper discuses the necessity of combining remote sensing images with professional maps in respects of the remote sensing imases's application potentialities and its developmental trend as well as the limitations of traditional professional maps, and expounds the guiding ideology and basic demand of making remote sensing professional images, at last, it takes "the satellite imase of trourism plan of Hainan provence"for example to introduce the methods of how to make professional images.
This paper introduces the majoy contents, properties and superiorities of remote sensing technique used in survey of engineering geology of high-grad highway.
This paper deals with the image features of NW tending hidden active faults of North China plain, and by intesrating them with the characteristics of river system and geochelnistry as well as drillhole data evidences where faults go throush further proves the hidden active fsults are exist.
This paper analyses the effect of training samples on supervised classification of remote sensing data, proposes a theory and method for purincation of training samples, which uses spectral and spatial information to remove the undesirable sample pixels. An example shows that divergence between classes, goodness of fit to Gaussian distributinn and classification accuracy can be improved after purification of training samples.
As the supplementary information source of remote sensing to the research on flood and waterlogging damages, the DEM Can provides two kinds of information, that is, the background data including the elevation, the location of ground spots and the relationships between spots, the basic relationships including the elevation-area relation, the elevationvolume relation and area-volume relation, etc. By these data and relations, the information of disastrous condition can be acquired from the interpretation of remote sensing image of flooding period, which includes the inundated area, water volume, water depth, inundated time and corp damaged content, etc. In this paper, the theory and method are stated for this research.
This paper, by correlation analysis between the spectrum in paddy fields and rice growth in different stases, gives the conclutions as follows: 1. The relationship between spectrum in paddy fields and rice srowth is sood, especially in the late staSe of rice; 2. Near rice heading, the relationship between spectrum in paddy fields and rice yield components is high; 3. In the rice milk stase, the relationship between rice theory yield and spectrum in paddy fields is good, especially in 800um; 4. The model of rice yield estimation is:Y=6.65PVID+8.19PVIH+4.48PVIMt+4.36PVIMs-0.3 hear: PVI - standardized perpendicular vegetation index; D, H, Mf, Ms -differentiation, headinS' milkfilling, milky stage.
This paper introduces the reletionship between rice production and paddy field spectrum data, it indiCates that:Before rice full-head emergence, the correlation coefficient between ratio vegetation index(RVI)and rice growth (Leafarea index or dry biomass) is extremely high, and a good numerical measurement relation exists between them.After this stage, the correlation coefficient between RVI and dry biomass is remarkable.The correlation coefficient between PVI (standardded perpendicular vegrtation index )and rice yield components (ear numbers per Mu, full grainumbers per ear and the weights of one thousand grains) as well as theoretical rice yield are extremely high. Between them there is a good numerical measurement relation.