最新刊期
卷 ， 期 2 ， 1993
- 摘要：Remote sensing can be divided into direct and indirect-detecting types at viewpoint of oil-gas resources exploration. Infrared remote sensing technique, which is of direct-detecting type, is based on the theory of microseepage of hydrocarbon reservior. This approach takes advantage of two-peak absorption on 2.27-2.46 μm spectrum related to hydrocarbon elements anomalies of soil. We have established a series of procedures dealing with airborne remote sensing images and anomalous information extraction methods. The accuracy we derived from the contrast with the known oil-gas fields, is 70 percent, and some remote sensing anomalies in the unknown oil-gas fields have been confirmed by succeeded drillings.
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发布时间：2021-06-10 - 摘要：Based on geomorphological and structural analysis methods, the structural features and dynamic condition of some oil-gas bearing basins were analyzed on images of R.S. The paper emphasized to analyze the activity characteristics of the chief faults in the oil-gas bearing basins and in its edges area during neotectoni.cs; to analyze the overlying strata’s distortion influenced by reaction of separating paleo-basement composed of crystalline rock and folds and reaction of Neotectonics on removement and assemblage of oil-gas and reserved condition of oil pools. In the end, we intend to present the favorible areas for oil-gas exploration.
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发布时间：2021-06-10 - 摘要：In May 1987, a serious forest fire happened in Daxinanlin Mountains of China. Through theoretical analysis and practical investigation, it was discovered that the IR rediation of fores-tfire was just within the detecting range of TM band 7 and reached its saturated brightness with strong contrast to surroundings not on burning. This is excellent for flame detection. Furthermore, three visible bands of TM are sensitive to smoke and can be helpful to estimate wind velocity, direction and fire spreading trends. A color composite image of TM 7,4,3 designated as R, G, B is of the richest information, in which burning zones appear to be bright red, fire-stricken ground dark brown, fire-free fores: green, water body dark blue and smoke light blue floating from the burning area. Rocks, rivers, lakes, farmlands and residential areas can be easily distinguished. Such composite can be most conveniently used to located the accurate position concerned, to analyze fire spreading tread.The pine caterpillar has spreaded widely and rapidly in recent years. An experiment strudy on monitoring caterpillar damage based on TM data was carried out. Through numerical analysis of TM data, a set of TM image processing technique developed accordingly to eliminate the interference and highlight the insec damage information. Finally, calculating and classifying the normalized perpendicular vegetation index ptovided an effective measure to divide insect damage into three levels. It shows that using TM image to monitor forest insect damage is highly reliable and can meet the requirement of practical utilization in caterpillar prevention and control.In summer of 1991, the region of Yangtze and Huaihe river suffered a catastrophic flood disaster. TM images provide rich information of flood scope, surface moisture and vegetation growing, on which crop harvest depends. Through numerical analysis and applied processing of TM image acquired on July, 14, five days after flood peak, the components humidity （H）, vegetation （V） and other new indices degrees were obtained. After a new supervised classification a map with heavy, moderate, light degrees of disaster, undamaged region and residential spots was achieved as well as each class area. Checking in the field indicated that the results were accurate.
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发布时间：2021-06-10 - 摘要：Leaf area index （LAI） measurements collected from a Ponderosa pine stand in Oregon have been correlated with the hyperspectral data acquired using a Compact Airborne Spectro-graphic Imager （CASI）. Eight LAI values ranging from 0.87 to 2.72 have been measured using an LAI-2000 Plant Canopy Analyzer at the study site. First-order and second-order spectral derivatives have been taken to the CASI data to suppress the effects of the soil background on the forest spectral reflectances. A piece-wise multiple regression procedure has been used to explore the relationships between the LAIs and the CASI data. This procedure produces multivariate linear equations and their associated goodness-of-fit （GOF） values and standard errors （SE） for LAI estimation.Results show that the spectral derivative technique can increase the correlations between the LAIs and the CASI data and thus lead to improved accuracies of LAI estimation. For instance, the highest GOF obtained for single-channel LAI prediction is 0.681 with a SE of 0.345. These have been considerably improved to 0.904 and 0.189, and 0.898 and 0.195 after taking the first-order and the second-order derivatives, respectively.
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发布时间：2021-06-10 - 摘要：The extraction of thematic information from TM images and the selection of versions of optimal composition material have been a subject which needs a deep research in the fields of remote sensing application. But so far there is no set of complete norms and standards to be followed, especially in the quantitative calculating and estimating of colorimetry on image, and in the determination of optimal composition.The problems as mentioned above are studied more deeply by means of traditional multiple exposuring TM image of experiment area, Shuang yang County in Jilin Province. As the standardization of thematic information extraction from TM images is concerned, this paper proposes a theory of optimizing various composition versions by a method of quantitative calculating colour difference, and gives corresponding mathematical model.
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发布时间：2021-06-10 - 摘要：This paper describes the attempts to form frequency spectrum zone image. The image can preserve texture information corresponding to its object. Some preliminary experiments illustrate that the image is an useful data resource for remote sensing in the space.
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发布时间：2021-06-10 - 摘要：This paper deals with the concepts and fundamental theories of spatial decision support system as well as its software toolkit design and applications. First, it has been concluded that SDSS, which is a model-driven system aiming at decision support and solving ill-structured problems, is a new trend of GIS development. Second, this paper has discussed the implementation of the software toolkit using C programming language and applied it to the design of "Regional Harnessing and. Development Information System in Sanchuan River Basin". In the end, some problems of the development of SDSS have been put forward.
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发布时间：2021-06-10
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