658 ITU‐T's Technical Reports and Specifications Urban environment here mainly refers to natural conditions of the city, including geology, geomorphology, hydrology, climate, flora and fauna, soil and other various factors. Irrational and excessive expansion of the city's development will lead to the deterioration of the environment. Urban environmental quality directly affects the operation of a city and the living conditions of urban inhabitants. To improve inhabitant dwelling, realize IMSSC, and achieve the harmonious development between human beings and nature, the environment must be the direct object of IMSSC. The observing, reporting, analysing, forecasting and decision supporting of all these three direct objects are implemented by digital equipment and the associated information systems. In this Technical Report, the challenges listed in Figure 1 as well as the direct objects are abstracted for the convenience of information representing. The challenges are abstracted events and represented by event information models. The digital equipment is abstracted as four kinds of information resources, comprising of sensors, observations, models, and nodes. Among the information resources, sensors are composed of airborne, space borne, and ground‐based sensor systems, such as satellite sensors, unmanned aerial vehicles (UAVs), vehicle‐mounted mobile measurement systems, global positioning systems (GPSs), radio frequency identification (RFID), temperature and humidity monitors, rainfall sensors and other equipment. This equipment is deployed wherever events may occur and is applied in event monitoring. Observations refer to the data generated by sensors, ranging from numerical values to all kinds of images, and they carry the information which can reflect the event occurrence. There are several kinds of analysing, processing, and forecasting models, such as hydrological analysis models, transportation congestion processing models, and pollutant diffusion models, etc. All these models are useful in analysing, processing observations, or making predictions based on historical and present observations in cases when observations are obscure and cannot provide the intuitive situation changes. Nodes can be united sensing centers, integrated processing units or small size application divisions, and they are able to offer significant decision support for events. Therefore, information resources, including events, sensors, observations, models, as well as nodes are viewed as the indirect objects of IMSSC in this Technical Report. The direct and indirect objects of IMSSC are presented in Figure 4.