Spatial Data Organization And Management Of Ice Remote Sensing Data

The results of scientific research,such as remote sensing data,have also been of scale in all walks of life.The realization of the sharing of scientific data can not only increase the value of scientific data in the application process,but also be an important support for improving the innovation ability of science and technology.Many scholars have carried out a variety of scale and scale observation and research on the high-Asia research area,and accumulated a lot of research data.the data volume and the multi-element heterogeneous information of the geometric growth of the research data,and the high-efficiency organization and management of the space-Time data in the characteristic of the non-uniform data distribution bring great challenges,The paper mainly focuses on the key technology of multi-spatial data organization and management facing the data-sharing service of remote sensing and ice-snow in Asia,and through the research on the data management technology of the high-Asia remote sensing ice and snow data,And the image data management platform is designed to realize the storage and management of the high-Asian ice and snow scientific data set.The specific contents of the study are as follows:1.Studied the characteristics of snow and ice remote sensing data and the same description structure model,extracted metadata information from different metadata formats of snow and ice remote sensing data and built a metadata database.For research on snow and ice,a variety of basic research data are used,such as MODIS10 A snow cover data,Landsat and other image data,as well as text data such as temperature and humidity records obtained from meteorological stations.The research results obtained for different research purposes can be expressed in many ways.For example,the thickness of snow cover can be displayed by thematic image images,or it can be expressed by the measurement record of the depth of snow cover at a certain point.The way these data are described is not uniform.Therefore,different description forms of remote sensing data of snow and ice are analyzed and studied,and a unified description model of snow and ice is established.By studying metadata storage of data in different formats,metadata of snow and ice remote sensing data was extracted as metadata of snow and ice remote sensing data management platform.2.Designed the mixed spatial and temporal index structure of hilbert-r tree based on grid division.Snow and ice on the space remote sensing data have obvious regional distribution of different data distribution density difference is larger,the main research area data is more,such as qinghai lake region,other parts of the research data is less,need according to the actual demand,combining with the characteristics of data to build appropriate index of spatio-Temporal data in order to improve retrieval efficiency.Based on the above questions,the spatio-Temporal mixed index structure of Hilbert r-Tree based on grid division was proposed.The spatial spatial grid division was conducted according to spatial data objects,and the global index was established by utilizing the spatial aggregation features of Hilbert curves.Judge the density of the data object set in the subspace,and build the index of r-Tree according to the r-Tree construction principle to complete the local spatio-Temporal index.3.Design and implementation of snow and ice remote sensing data management service system.Based on the establishment of unified description structure model and the realization of grid index algorithm,the system development is completed.First of all,the actual requirements are clarified to complete the overall architecture design and functional design of the system based on B/S architecture.Implement related functions.