摘要:Experiments were carried out on a typic Loess Plateau area about 1000 km2 in north Shaanxi province. The objective of this study was to evaluate the suitabilities of TM, SPOT imagery and color infrared aerial photoes to Land use survey at a scale of 1:50000, and show how to use these data. In this paper, a land use classification system was established by concerning the remote sensing abilities as well as the geographical feature. The computer aided image enhancements and classification of TM CCT’s were discussed. A combined method of divergence and visual analysis was inducted to choose the best combination of three TM bands. The interpretation keys to the main land use classes of the three used images in the study were obtained by the analysis of the landforms, spectrum and phenology. A fuzzy mathematic method was developed to quantitatively judge the application abilities of the remote sensing data used in this study. After those experiments have been done, the paper presents some valuable conclusions and provides the best practicable methods of using remote sensing data to the land use survey at the scale of 1:50000 on the loess plateau.
摘要:The giant panda is a kind of famous and rare wildlife in the world. However its habitat is nowadays getting worse because some of forage bamboos have withered. In order to make the investigation for the habitat of giant pandas, the testing by using the image information of remote sensing has been studied.The study area selected for this investigation is situated in Pinwu County of Sichuan Province where is the birthplace of giant pandas.In this study, the author put emphasis on the inventory of forage bamboos which are the very important components. In inventory of forage bamboos, a multistage habitat inventory technique was developed by means of using LANDSAT image, aerial photograph and ground survey. Following programs are in the main procedures:1. Surveying the ground plots.2. Establishing multivariate regression model.3. Evaluating the site quality of the bamboos.4. Mapping the bamboos site quality classes.The investigation for the giant pandas habitat is considered to be bound to provide the basis to ameliorate and improve the habitat for the giant pandas.
摘要:Forest resources possess strong dynamic chracteristics. The improvement of the techniques used in monitoring forest resource changes will be of important significance in forest production. The method for combining remote sensing technique, GIS technique and forest continuous inventory technique has great potentiality in forest resource monitoring. The study conducted in Songjianghe Forest Bureau has proven the feasibility and superiority of the method.This paper has explored the key technical links in applying the new method, provided the practical results of monitoring and exhibited the prospects for promoting the method in state-owned forest areas. Compared with the traditional methods, the new one will produce map data and reduce the ground workload by 50% and the cost by 20%.
摘要:Research district is located in the Northeastern part of Sichuan province, west of China. In order to select the target of petroleum exploration, images of landsat were superimposed regional geophysical data (aeromagnetic, gravity) and were analyzed connecting with regional geological data. As a result, some subtle-inherited fault zones and a series ring-shape structures are discovered. These structures are closely related to the existed petroleum structure, and provided some prospect regions for oil and gas exploration in the future.
摘要:Recently, the technology, through using remote sensing to classify rock, seek altered belt and to find mine eventually, has developped rapidly. Because vibration of H2O, OH, CO3-2, metal ion and oxide inside rock and mineral yield the great number of sharp and unique spectral absorption features mainly in the region 2.0-2.5 μm, so that research in this aspect is very active. In this paper, the process to obtain and analysis the field spectral data is described using a multiband radiometer which has the same bands with airbrone multichannel IR scanner used at gold mining areas, oil mining areas, etc in Xinjiang, because the effects of OH, CO3-2 in spectra of rocks is obvious, so that the method is very useful in seek altered belt. The spectra of same rocks in different place are similar. The interfere caused by colour of rock surface in 2.0-2.5 um is less than that in visible-near infrared band. The method also have greater potentiality in seek rocks with Fe+3 and rocks with hydrocabon. It also deal with the classfica-tion results for rocks in a gold mining areas arcording to the material mentioned. By variatesspace transformation the correlation between variates and the numbers of variate have been decreased and the correct rate of classfication has reached 95.3%.
摘要:The digital counts or the scanned densities of the Landsat MSS image were, transformed into absolute radiance values. Each radiance of the four bands were decomposed into three parts with different significances and then the parts with the similar significance from the four bands were recombined. As a result, we obtained three new variables. Which are named respectively the general radiance level (L), the visible-infrared (radiance) balance (B) and the band radiance) variation vector (V). The L is powerful in monitoring radiation intensities of ground features; the B is powerful in mainly monitoring the water, the moisture or wetness of ground features and in differentiating the cloud, snow and ice among them; the V is powerful in monitoring density of plant cover and its vigor and hence is an excellent indicator of vegetation conditions. Those three variables contain nearly all the information of the original four bands, so we need only manipulating the three instead of four variables. The algorithm is based on the regression analysis and is very simple. Lower dimension and simpler calculation will lead to time and monev saving.Using this method, we can obtain "real" (not false) color composites, which are real three-coloured and near to the natural color. And we can obtain significant, corresponding to the ground feature characteristics, density slicing images.The methodology described above was applied to the data on hand from China and Canada and other data found in literatures from Asia, Europe, Africa, Australia, Oceania and North and South America.
摘要:In this paper, spectral reflectance of stressed rice by cadmium and copper in soil was discussed. A high resolution spectroradiometer. was employed to measure spectral reflectance of polluted rice at natural condition. It was closer to actual state than that of measurement of leaves in laboratory. It was also suitable to analysis with remotely sensed image.The results indicated that effects of cadmium and copper in soil on physiological properties and spectral reflectance of rice were the most significant at tillering stage. Optimum time for monitoring polluted rice by heavy metal was tillering stage, and effective bands were 0.54-0.58, 0.64-0.69, 0.74-0.80 micrometers. Analysis methods for spectral reflectance of rice, such as wave shape analysis, differential spectra, greenness indices and principal component analysis etc., were discussed. It stated that these methods were more effective for monitoring polluted rice by high concentration of cadmium and copper, and not significant to lower concentration.
摘要:It is a widely used approach to perform band combinations in analysis of remotely sensed data. However, how to select best bands and how to determine best band combinations, are two key problems in band combination analysis which have not solved yet. One of major reasons is lack of deep understanding to band combination mechanism. Concepts of projective line and isopleth are used in this paper to analyze the geometric characteristics of each band arithmetic combination (such as addition, subtraction, multiplication, division and square sum etc.) in two dimension plane space so as to reveal intrinsic mechanism of band combination. Provided a little amount of ground feature data are available, band conbination scheme can be determined according to data distribution characteristics (i.e. positive or negative distribution). Also, best bands can be determined depending upon whether the isopleth could most efficiently distinguish characteristic objects from non-characteristic objects background or not. Then, best band combinations can be determined according to whether projective area of sopleth could most efficiently enrance characteristic object information and suppress non-characteristic object information or not. It is proved through the case study by analysis of Thematic Mapper CCT data in Inner Mongolia, (China) that the approach discussed in this paper is practical and efficient. As to combination mechanism of more than two bands, further analysis is expected.