[Background] Well-managing the current status of soil erosion and the achievements of prevention, are the purposes of dynamic monitoring and evaluation of regional soil and water loss. The methods of dynamic monitoring and evaluation of regional soil and water loss in China can be divided into five categories as following: qualitative analysis method, sampling statistical analysis method, the method based on composite index, the method based on geostatistical analysis and remote sensing monitoring, and the method based on distributed models. All these methods require tremendous amount of basic data and the support of big data technique. While the big data is built up andanalyzed sufficiently, the data resources can be fully mined,and the scientificity, integrity and timeliness of the dynamic monitoring can be improved significantly. [Methods] The big data for dynamic monitoring and evaluation of regional soil and waterloss are consisted of basic and static data, dynamic and updated data, and analysis and evaluation data. Most of these data, beside monitoring and observation of soil and water conservation, can be collected and mined from water resources and hydrology big data, territorial resources big data, meteorology big data, forestry and agriculture big data and soon. Dynamic monitoring and evaluation based on big data can be achieved by collecting and mining data, building data assembles of dynamic monitoring and evaluation of regional soil and waterloss, and utilizing the calculation platform of cloud-based network. [Results] In the near term, the top-level design should be improved: to build the centers of big data, to implement the integration and sharing of big data, to promote the standardization of data, to innovate the mode of big data and cloud network services, to improve the information collection from monitoring network and infrastructure construction of data network, and finally to explore and improve the methods of regional soil and waterloss dynamic monitoring and evaluation based on big data. [Conclusions] We should promote big data co-ordination on national, industry and regional levels gradually, unify the big data standards ;and then utilize the existing resources of big data sufficiently such as water resources and hydrology big data, territorial resources big data, meteorology big data, forestry and agriculture big data and soon. We also should establish the management, application and sharing platform of big data, use the administrative and economic measures—accompanied by the necessary basic research and the construction of professional teams—so as to jointly promote the application of big data in the fields of regional soil erosion monitoring and evaluation and soil and water conservation industry,and to assist governmental decision-making for economic and social development.