摘要:Due to high correlation coefficients among multi-channel thermal infrared data and mixed pixels widely existed, it is difficult to improve the accuracy of retrieved land surface temperature; further more, component temperature can not be retrieved from multi-channel thermal infrared data. In this paper, taken erectophile type continuous vegetation as an example, we did many Monte-Carlo simulations, and established empirical analytic expressions of component effective emissivities with soil emissivity and leaf area index. Empirical analytic expressions were used to construct objective function, and genetic algorithm was employed to synchronously retrieve component temperature, soil emissivity and LAI from thermal infrared multi-angle data. Many experiments of genetic algorithm inversion from simulated data were conducted, results show that it is very robust to retrieve component temperature using genetic algorithm, and genetic algorithm can cope with uncertainty inversion problem pretty well if we take full advantage of priori knowledge. Comparison between inversion results and ground-truth data were made. This paper offers a new method to retrieve component temperature from multiangle thermal infrared data based on the model of directionality of thermal radiance
关键词:genetic algorithm;inversion of component temperature;multi-angle thermal infrared remote sensing;continuous vegetation
摘要:As an important urban information, urban digital surface models (DSM) are widely used in many fields. Airborne 3D imager which is developed by the Institute of Remote Sensing Applications, Chinese Academy of Sciences can acquire DSM in quasi-real-time without any ground control points. The data processing technology to acquire urban DSM by 3D imager is presented in this paper. How to display urban DSM which is different from natural surface in 3D is discussed in detail. An example of data processing and 3D displaying of urban DSM is given at the end. According to the fly test the efficiency of 3D imager is several times higher than that of traditional methods to acquire urban DSM, and the method to display urban DSM in 3D is feasible.
摘要:This paper presents an approach to the retrieval of high resolution ocean surface wind fields from spaceborne synthetic aperture radar (SAR) imagery based on scattering theory of microwave for ocean surface. It consists of three procedures: radiometric calibration of SAR image, wind direction determination and wind speed calculation. As a case study, a Radarsat SAR image of the coastal zone near the Hainan Island, China is analyzed. The results are compared with those calculated from a numerical model. It is shown that they are in good agreement. The rootmeansquare errors of wind speed and wind direction are 0.94m/s and 4.03° respectively.
摘要:The visualization of scientific computation is spatial data field visualization. Scalar, vector and tensor quantity are principal parameters to define multidimensional data field in linear electromagnetic system. Based on cause and effect rule of instantaneous change electromagnetic system. The response of remote sensing sensor to the electromagnetic field can be regarded as the reflectance of ground electromagnetic field. The pixel is the digital media to record the reflectance. Because the linear connection between ground electromagnetic field and multiband DNS, the digital image can be expressed as multidimensional spatial data field. In multidimensional linear vector space, values of data field can be calculated, differentiated, analyzed and the angle function also can be formulated in the space. The mapping of useful weak feature in remote sensing data field is also carried out based on angle analysis.
关键词:instantaneous change electromagnetic system;remote sensing data field;linear vector space;angle analysis
摘要:This paper presents the design and operational features of the automatic data acquisition system for the lowlatitude ionospheric tomography along the 120°E meridian. An improved reconstruction algorithm of computerized ionospheric tomography is also proposed. The algorithm avoids the calculation of integral phase constant by exploiting the differential Doppler frequency data, thus its capability of detecting weaker ionospheric irregularities has been enhanced. Both numerical simulated examples and the reconstructed results from observed data show that the new algorithm works reasonably and effectively with ionospheric CT problems.
摘要:With the rapid development of remote sensing techniques, the quantity of remotely sensed data generated by remote sensors increases fast. A large amount of remotely sensed data provide valuable information for researches on earth resources, but it is hard to be stored and transmitted. Therefore, there is a critical need of data compression for remote sensing applications. In the case of MSI data, there are two types of redundancy: spatial redundancy and spectral redundancy. Usually, the prediction technique is used in spatial and spectral decorrelation in lossless compression. In this paper we construct integer wavelet transform by using lift scheme, which is used for spatial decorrelation, and construct a spectral predictor by using classification that is used for spectral decorrelation. This combined technique could improve the compression ratio.
摘要:Due to the complexity of sustainable development, the selection of index system is very difficult and all these make it tough to collect, process and interpret data for the indexes. Consequently some of the methods of SD evaluation are less operational. This paper discuss a new approach by means of which the powerful analytical functions of GIS are integrated with the statistical analysis function of statistical software to establish a spatial statistical analysis model (SBSA) for Myingyan sustainable development. This model has some advantages as follows:\;(1) Being able to assimilate spatial data with statistical data,\;(2) The number of indexes is free of limitations, so the SBSA model is powerful in its operational ablility;\;(3) To break the limitation of administration boundary for evaluation unit, and extract the principal factors and their spatial distribution which affect regional sustainable development potential.\;The implementation of SBSA model shows that three principal factors (PF) affecting the potential capacity of the sustainable development in Myingyan District are food provision, physical condition and population pressure on environment. The analysis and interpretation of the three PFs provide decision and planning support for Myingyan government.
关键词:data assimilation;spatial statistical analysis;quantitative evaluation;sustainable development index
摘要:It is necessary to provide any essential background data and thematic data timely in image processing and applications. In fact, it is very difficult to integrate different kinds of data into one database that is managed by commercial GIS or image processing software such as ARC/INFO or ERDAS. In this paper, the author describes an integrated database management system which is a framework based on different kinds of database, such as image database, vector spatial database, spatial entity spectrum characteristics database, spatial entity image sample database, control point (tics) database, documents database, models database, and product database. The querying and retrieving system, which are basic functions of integrated database management system, depend on metadata being divided into three parts: database metadata, dataset metadata and attribute field metadata. Finally, the author introduces the concept of virtual database that is a logical database based on other practical databases, and describes its structure and application in product making system for a large remote sensing application in detail.
摘要:Salinization is the major land degradation processes in arid and semi-arid regions. In order to prevent further deterioration of salt-affected soils and make agriculture development in a sustainable way, up-to-date and reliable information on the nature, extent, magnitude and spatial distribution of these soils is of paramount importance. This study was carried out to extract such information using Landsat TM data. On the basis of spectral response pattern of salt-affected soils, the relationship between salt-affected soil and image characteristics established during the field investigation and soil sample data, four categories of salt-affected land were delineated, namely, extremely saline (14477.67 hm\+2), strongly saline (52086.33hm\+2), moderately saline (86699.61hm\+2), and lightly saline (2150017hm\+2). Besides these salt-affected soils, other categories such as water bodies, tidal flat, forest, grass land, reed beds, residential area were also mapped. All these will provide scientific guideline for regional land amelioration and agriculture sustainable development.
摘要:Flood is the disaster most frequently occurring every year in China. How to monitor and evaluate the flood assures the objectivity, accuracy and efficiency by new technologies? It’s the most urgent problem for Chinese government and experts to deal with. The Institute of Remote Sensing Applications of CAS and China State Information Center have developed Network-Based Flood Disaster’s Monitoring and Evaluating System Using Remote Sensing and GIS. The system includes three parts: 1. Flood Disaster Information Generation subsystem 2. Flood Disaster Information Service subsystem 3. Network User subsystem This System has been applicated in monitoring and evaluating flood disasters in China during 1997—1999. It plays an important role in flood control and disaster mitigation, especially in floods occruing along Yangtze, Songhua and Nen Rivers in 1998. Up to now, 131 flood information reports with flood images, maps and tables for the flooded areas are provided to the State Council, relevant ministries and provincial governments. User can browse, query and download the flood information through Internet by permission. This paper introduces the work environment, the flow of key techniques and its methodology of the system, and gives some application examples.
摘要:On the assumption that the air temperature will increase 1.5℃, precipitation will increase 5% and the distribution of vegetation won’t change, an improved energy use efficiency model and 1 km AVHRR-NDVI data are used to estimate the effect of climate change on terrestrial net primary productivity in China. The results show that net primary productivity will increase in most of China, but in south China it will derease slightly. The NPP average increases 6.2% in China totally. The distribution of increased value and relative increased percentage is different. The maximum increased percentage of NPP appeares in Tibet Plateau, but the maximum absolute value of NPP lies in the forest and the mimimum lies in desert region.
摘要:Structural pattern on the remote sensing image is a synthetic result since geological history, including much feature information of previous tectonic deformation. Therefore, the tectonic stress fields of different stages in a complex deformation area can be reconstructed by the following steps: (1) Geological structures in different stage and time are decomposed with remote sensing images; (2) Tectonic deformation fields in different time are established by analyzing relationship between the micro structures (joints/fractures) and the macro tectonics (folds and faults) related; and (3) tectonic stress field in different time are respectively recovered with a synthetic study of the features of structural deformation fields in different periods.\;In this paper, macro tectonics (folds and faults) and related transverse tensional joint systems in the studied region are interpreted with the method of phase-separation analysis of remote sensing information field which was proposed by the author. Based on the theory of elastic mechanics, tectonic deformation and stress fields are quantitatively calculated, and 3-dimensional color structural block diagram for quantitatively analyzing tectonic deformation field and stress field are established. Finally, a relation of the structural patterns to the reserves of petroleum and natural gas are discussed.
摘要:Using grass spectral data, yield data, meteorological data and NOAA/AVHRR data of natural grassland, grass yield monitoring models using remote sensing and meteorological data are established. These models can provide grass yield during growth period and this is very useful to direct animal husbandry production. The grass yield predicting models using NOAA/AVHRR and meteorological data are established. These models can provide grass yield in advance, and this is very important to arrange animal husbandry production. Meteorological models are more accurate, but these models can only estimate the grass yield at limit locations. Remote sensing models can estimate the grass yield an any location. Therefore, the monitoring and predicting results are reliable if meteorological models and remote sensing models are used together. The estimated results after 1995 show that these models can meet the needs of operational services.
摘要:On the basis of the project work for dynamic monitoring of landuse change in mountainous area by utilizing technologies of remote sensing, GIS and GPS, framework of quantitative and statistical analysis procedure is presented in this paper. Attentions has been paid to core technical issues such as band selection for image subtraction and changing threshold selection, in order to derive proper change information from TM image data. Compare between basic approaches for image change detection, i.e., comparative analysis of multitemporal classified data, and simultaneous analysis of multitemporal data, is also provided. In the research process, GPS surveying data has played an important role.
关键词:remote sensing;image change detection;land use change;GPS