由于建立资源与环境信息系统的统一元数据构架是对资源环境数据和模型实现管理和知识共享的有效途径之一，且由于资源与环境信息系统中的狭义数据已有描述其规格、质量控制和共享限制的元数据标准，为了能有组织地记录资源环境狭义数据和模型方法的详细信息，因此在对已有资源与环境信息系统中的元数据标准进行分析的基础上，首次提出模型方法元数据的概念，并指出资源与环境信息系统中对模型方法的规范描述即构成模型的方法元数据，还指出完备的资源环境元数据由狭义数据的元数据和模型方法的元数据组成。实践结果显示，基于元数据来实现系统集成和知识共享是可行的选择。

To share knowledge in an resources and environment information system, it is necessary to find an approach to manage data, which includes spatial data, remotely sensed data, attribute and knowledge, and models, which consists of spatial analysis models and spatial decision support models. Our approach of solving the problems is to create an integrated frame for metadata of resources and environment information and method metadata of environmental modelling, and integrate data and models in the resources and environment information system based on the frame. In context of the resources and environment information system, data usually include attribute data, vector data, raster data, and knowledge data on narrow sense. Its metadata defines the specifications, qualify control and information sharing for the narrow sense data. And some standards for the metadata had been established. This article considers that it is essential to normatively describe ways and means of environment modeling to share knowledge about modeling, so puts forward the concept of method metadata to standardize descriptive information about environment modeling for the first time. We think that the integrated metadata frame should consist of the metadata about the data and the method metadata about models. In development and operation of resources and environment information system, we can integrate database, remote sensing, geographic information system and environment modeling based on the integrated metadata frame, due to these two kind of metadata adequate describing characters of data and data processing in the system. The integrated metadata frame will be adopted to integrate and share data and models by some projects, such as the resources, environment &district economy information system, and the research on quantitative remote sensing. It is positive that the integrated metadata frame will do a good job.