Choice And Evaluation Of Multi-Source Remote Sensing Data In The Project Of Investigation Of Land

Under background of construction of urbanization, development of estate and serious lack of resources for arable land, our country launched the project of land use dynamic monitoring timely, the aim is to keep baseline of 18 billion mu arable land devoting to using dynamic method for monitoring change of land use. The subject for the paper is looking for reasonable solution of configuration on data of dynamic monitoring and making benefit analysis of practice on chosen solution by land survey, choosing and research practice on multi data of dynamic monitoring on project of land use dynamic monitoring.Due to complicated land space, numerous people and unbalanced economics development, choose of data source for dynamic monitoring cannot be generalized, data source should be chosen on concern of different local condition. The paper is to study economics output benefit, living condition, level of land use and input level, through statistics on 31 provinces and 5 planned single cities, total 63 units, then by entropy method, calculate weight of every level unit, finally get source type of every level unit.After that, the thesis chooses and classifies proper type as the spatial resolution of remote sensing data sources. Comprehensive evaluate spatial resolution,time resolution, Coverage,quantity of wave band,Spectral Signature,and price as every Data Source in every classify, and use quantitative analysis varied remote sensing data resources in the area of Entropy Method. Finally, choose some typical Data Source, such as WorldView2,ALOS,SPOT5,RapidEye,ETM+ in each classify. After that introduces these typical data from fundamental characteristics and Spectral Signature in detail. Furthermore, Optimum Index Factor (OIF) is also used to analysis and research the problems of consist of wave band which is talked about.Finally, the thesis takes one representative remote from each east and west area, and use the sensing data sources of different types and different time phase in these remote. Evaluate apply different of these in practical side, and practice to examine this thesis from grades of china and corresponds the system on dividing of soundness of remote sensing data sources.