Advanced Materials Research Vols. 610-613

Abstract: This paper presents the simplification method of 3D model by triangle-deletion and single piece generated by 3D Ground. The method achieve automated batch build LOD (level of detail models) library, an effective solution to high-precision mass application of large-scale 3D model and successfully applied to 3D digital city of Tianjin network system construction. The method of 3D digital city construction and application of large amounts of data has important reference value and promotional value.

Abstract: This study combines the sampling technique, geographic information system and remote sensing technique to conduct a sampling survey on forest cover area of Jinggangshan National Nature Reserve in China on the basis of TM remote sensing image. The spatial simple random sampling, spatial stratified sampling and sandwich sampling model are respectively utilized to establish the sampling design. For the spatial simple random sampling model, the spatial autocorrelation analysis method is adopted to determine the spatial autocorrelation coefficient through calculating Moran's I index, while in the spatial stratified sampling and sandwich sampling model, the yearly maximum NDVI (Normalized Difference Vegetation Index) is utilized to conduct the spatial stratification. Through comparison of the sampling accuracy of three sampling models, a higher precision and more reasonable sampling method and sampling model is provided for remote sensing monitoring of forest cover area. The study results show that: sandwich sampling model is featured as the highest sampling accuracy, followed by the spatial stratified sampling and simple random sampling. Under the requirement of same precision, sandwich spatial sampling model can reduce quantity of the sampling points, and create all kinds of report units according to demands of different spatial area, so it is featured as the better suitability.

Abstract: Through integrating air dispersion model, Geographical Information System (GIS) spatial analysis and Population Dasymetric Mapping Model (PDMM), we firstly conducted high-resolution simulations of air pollution concentration and population spatial distribution. Then, a method for Assessing Population Relative Risks of Air Pollution Exposure (MAPRRAPE) was proposed and implemented for spatial zoning of population exposure to SO2 at various levels by taking Tarrant County as a case. The results show that the population exposure to SO2 for Tarrant County in 2000 detected by air pollution concentration method obviously differs from those produced by MAPRRAPE. While the results disclose the defect of the air pollution concentration based population exposure (e.g., Non-inhabit areas with high SO2 concentration are usually misrecognized with high population exposure), it thereby conversely confirms the significance of MAPRRAPE in decision making for preventing and controlling regional air pollution exposure.

Abstract: This article taking coastal waters of Lianyungang as the research area, and by using MODIS images during 15 April and 1 May, 2012 as source data, and the results of sea surface temperature were extracted by band operation, and by using changes in the different time of SST, spatial variation and comparative analysis to verify the accuracy of the two algorithms. Both the two split-window algorithm can get the sea surface temperature of coastal waters of Lianyungang well, and the result was reliable, and the inversion precision of SST can meet the application requirements in the general ocean applications. Not enough is the two split-window algorithm only worked under clear sky conditions, and can not get the sea surface temperature where the sea under cloud; at the zone of connected to the land and sea, universal SST algorithm was not as good as the Qin Zhihao split-window algorithm, but it has a few parameters, and the advantages of easy operation process of the desired intermediate.

Abstract: In recent years, marine oil spill is frequent and seriously threats to the sustainable development of coastal areas and marine environment. Large Marine oil spill is difficult to clean up and pollution range is large, lasting for a long time, for the biological and ecological environment destruction, particularly serious. It is very important to take corresponding measures that how to quickly master the location of the oil spill when this event occurs. Satellite remote sensing has advantages of large, multi-temporal, all-weather, real-time, quick and economic and has become an important means of monitoring marine oil spill, playing an important role in the monitoring of marine oil spill treatment. This paper illustrates by Penglai 19-3 oil spill accident, using MODIS remote sensing data, the use of the Robert operator, Sobel operator, Laplacian operator and LOG operator to extract the oil spill edge, and extraction accuracy of the comparison and analysis.

Abstract: In this paper, Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset, a global dataset with 1km spatial resolution and one month temporal resolution, was selected as the data source. The spatio-temporal variation of vegetation NDVI in China and the seven regions of China during the period from 2001 to 2011 were studied by using maximum value method, average method and linear regression trend analysis method. Results show that: Over the past 11 years, the change of China Annual NDVI was insignificant. The variation of mean NDVI of different regions was obvious. Trend analysis shows that vegetation NDVI in China had an increasing trend from 2001 to 2011.

Abstract: At present, the construction land of replacement area in coal villages is in rather tight supply and the great shortage of construction land has made land as the toughest problem in village relocation. In order to lessen the pressure of the contradiction between supply and demand of construction land and meet the needs of normal economic and social development, this these attempts to analyze the current situation and existing problems of the traditional village migration model, and employ the new modern model of land replacement village migration to explore how it helps to revitalize the construction land index, which is of greater significance to maintain the balance between occupying and supplying. The present paper takes the coal village in a mine of Shandong Province as a case and uses the land replacement village migration model to calculate and analyze the area of the village’s new site to obtain the new conditions of construction land index balance and annual turn-over index. It is believed from the angles of land-saving, economic and ecological benefits, the land replacement village migration model can not only help the mining enterprises to get and increase the construction land index, but can enhance the sustainable development of the economic environment.

Abstract: Based on field investigation and social-economical data, in combination with the 1992 and 2007 Landsat TM remote sensing images of Coastal Urban Belt in Liaoning, this paper analyzed the dynamic changes of landscape pattern at both class and landscape levels and their driving forces in the study area. From 1992 to 2007, the landscape pattern in the study area experienced a significant change. At class level, the area of farmland, forestland, wetland, grassland, and abandoned land decreased, while the area of residential area, salt pan, and water area increased. At landscape level, both total number of patches and patch density increased significantly, while the largest patch index decreased, and the complication of landscape shape intensified.

Abstract: Based on field investigation and social-economical data, in combination with the 1992 and 2007 Landsat TM remote sensing images of Coastal Urban Belt in Liaoning, this paper analyzed the driving forces of landscape pattern in the study area. From 1992 to 2007, the landscape pattern in the study area experienced a significant change. The rapid population growth, economic development and infrastructure construction had exerted strong influences on these changes of landscape pattern, and thus leading to a deeper level of landscape fragmentation

Abstract: Taking the Landsat TM/ETM+ images of Suzhou City in 1995 and 2003 as data resource, the expand changes of the construction land were researched. Computer supervised classification and GIS spatial analysis methods were used to extract the Suzhou City construction land information, and the construction land expansion distribution map of Suzhou City from 1995 to 2003 was obtained. Last urban expansion speed, compactness and fractal dimension index were combined to analyze the Suzhou City’s expansion change characteristics. The results showed that, from 1995 to 2003 Suzhou city in a stage of rapid development of urban expansion, the spatial form is increasing complexity, the expand trend is for ancient city center to radiation spread all around, among them with the eastern and northern expansion is most obvious.