In this paper, aerial images of the 1970s, SPOT5 satellite images of 2003 and RapidEye images of 2009 were respectively selected to establish interpretation keys based on field survey data. Then three phase remote sensing images with different sensors were interpreted by ArcGIS, and land change maps from 1970s to 2003 and from 2003 to 2009 were obtained by overlapping interpretation results. The change and mutual transformation of lands were analyzed, and their change rules and causes were obtained. The analytical results are summarized as follows: Firstly, from 1970s to 2003, the main change of lands in the Shizuishan mining area was that the vegetation coverage area and the cultivated land were transformed to residential area and wasteland as a result of infrastructure construction and soil erosion. In addition, the areas of gangues, coal piles and water increased because of mining activities. Secondly, the area of vegetation coverage showed the fastest increasing rate from 2003 to 2009. On the contrary, the areas of surface features of the mine, such as gangues and coal piles, decreased sharply, which was closely related to integrated renovation of the mining geo-environment.
The purpose of this study is to provide the basis for further study of desertification origin and the protection of ecological environment in this region. The morphological characteristics of Kumtagh sand dunes in Beishan of Xinjiang Uygur Autonomous Region were analyzed, the Landsat ETM images of morphotype of Kumtagh sand dunes were cut out, and the sharp images were also enhanced. On the basis of SRTM data,the digital elevation mode for Kumtagh sand dunes were obtained by means of three-dimensional analysis module of ArcGIS software. Simple wind figures were drawn according to the local terrain and physiognomic characteristics. The characteristics of each type of sand dune were analyzed in detail. This study results that sand dunes in Kumtagh form a long and narrow "S" shaped ridge due to the unique natural geographic features,and the dune morphology is diverse and complex. The main types of sand dunes are crescent dune chains and complex longitudinal sand dunes. The single crescent dunes are scattered, the linear dunes are less distributed,and the dendrite dunes are in the early development stage.
This study combines the use of multi-temporal satellite remote sensing images with the GIS spatial analysis method. The study of the changing characteristics of Fangchenggang coastline has important practical significance. The TM images of Fangchenggang in two phases were obtained in November 2000 and October 2010, First, preprocessing, extraction of feature information of coastline and spatial analysis were conducted for two-phase TM images of Fangchenggang. Then, the CA model was established in accordance with the relevant controlling factors and the corresponding neighbor rules. On such a basis, the Monte Carlo method was used in combination with the controlling factors to make judgment so as to finalize the conversion of cellular state. The actual and prediction image overlay analysis in 2010 shows that the number accuracy of prediction coastline is 83.65%, and the spatial location accuracy is 93.45%, whose values are in the range of allowable error. It is shown that the use of the CA model to predict the shoreline in Monte Carlo method is practical. Finally, the prediction of the Fangchenggang coastline in 2020 was realized based on the combination of CA model algorithm with Matlab technology.
Rapid industrialization and urbanization have resulted in extensive changes in land use and coastlines in Bohai Bay coastal zone. For extraction of coastlines and land classification, Landsat TM\ETM images in 2000, 2005 and 2010 were used. Based on the methods of man- machine interactive interpretation and GIS spatial analysis, the authors made a comprehensive analysis of the changes of the coastlines and spatial variation of land use. The extent, speed and spatial variation of the changes of the coastlines and land use were revealed by the combined method of quantitative and qualitative analysis. It can be concluded that Bohai Bay coastal zone had been changed greatly during the last decade. The land and coastlines were growing toward the Bohai Sea by about 322 km<sup>2</sup> and 331.6 km<sup>2</sup>, respectively. Land for housing and other construction purposes increased; unused land and wetlands decreased greatly; Tianjin Port showed the most significant sea-beach wetland change, and the decrease reached 89 percent as compared with the situation in 2000; in other wetlands such as salt pans of Hangu in Bohai Bay the decline rate was the largest (55 percent); the coastline and the land of Tianjin Port had the fastest growing rate during 2000-2005; from 2005 to 2010 the reclamation of Caofeidian Port was the fastest. The main driver of these changes is the result of over-exploitation of human economic activities.
In order to effectively manage and utilize mass spatial data accumulated in researches on resources and environments remote sensing, the authors designed the methods for storage, retrieval and access of these mass spatial data. In accordance with the mass spatial data of different types and characteristics, approaches like spatial database, file directory and Web Service were applied for storing and delivering data. On the basis of two-step spatial query algorithm, the retrieval method of mass spatial data based on the spatial location was designed to retrieve the data stored in integrated spatial databases as well as data delivered in forms of Mapping and Web Service, so as to resolve the problem of fast data search. Methods of tile and hierarchy and visible area grid index were used to optimize the performance of transferring, loading and displaying data, and relative performance tests were executed. The designed approach solved the problems of data management, data precise location and data fast transportation that appeared in the application of massive spatial data via investigating strategies of data storage, data retrieval and data accessing and appearing. On the basis of this approach, the basic framework for resources and environments remote sensing emergency response and monitoring infrastructure has been constructed.
Based on an analysis of the research progress of multisource spatial-data integrating, this paper puts forward an idea to integrate multisource image intelligence spatial-data just in the pattern form which accesses spatial data directly by using SuperMap SDX+ spatial-data engine. The contents system structure of the spatial database was designed and the accessing pattern and the integrating model were analyzed. Then the integrating technological frame structure was designed based on the study of GIS with its application superiority and the technological system structure of Seamless Integration of Multisource Spatial Data. Its Database Prototype was actualized so as to prove the rationality of the proposed theory. The research achievement has resolved preferably image intelligence spatial data integration characterized by multi-source, multi-format and multi-modality. On the basis of data integration, the application of target intelligence inquiry and assistant image interpretation by contrast and target theme-mapping was actualized.