Acquisition of accurate basic data of grassland resources is not only the foundation for the rational use of grassland, but also an important basis for government decision making. Satellite-aerial-ground based dynamic observation system provides new ways for the multidimensional spatiotemporal observation of the growth process and other parameters of grasslands. Based on the research progress on technologies, indicators, and application services of grassland resources observation, this study provided a technical framework for the multidimensional observation network and its indicators system. We propose that the grassland observation system should strengthen the construction of the three-dimensional monitoring big data platform, and pay more attention to data fusion and data application of satellite- and aerial-based remote sensing monitoring data and ground monitoring data, aiming to improve the ability for automated, all-weather, three-dimensional observation and data acquisition at the national, regional, and local scales. The results of this study may provide a reference for the protection and construction of grasslands and the planning, decision making, and implementation of grassland and grazing industrial development by building a scientific and reasonable grassland management and decision support system.