## 4 Demonstrated Application and Analysis
### Analysis of the Retrieved Data  
From 8-26 August 2020, we activated the terminal devices installed at the five remote stations' locations, and the devices began to transmit data, as shown in Figure 6. This period also marks the initiation of field data transmission by the satellite-enabled IoRT network from the most remote areas of the TP. Operational satellites could transmit half-hourly observations back to the data center twice a day.  
The featured observations included meteorological data retrieved from the areas surrounding the Muggangqiong and Jialabailei glaciers on the TP and snow depth, water consumption, and tree growth rate data retrieved from the Qilian Mountains in the northeastern TP. Half-hourly air temperature, wind speed, and other meteorological data retrieved from the end of the Muggangqiong glacier, a typical continental glacier that is recognized as one of the world's most sensitive regions to climate change, could enable  
Figure 5: Locations of the five ground IoT terminal devices and observation facilities in the far-most area of the TP (**a**) and photos of these installations at the end of the Muggangqiong glacier (N 32.220\({}^{\circ}\), E 87.485\({}^{\circ}\), 5706 m.a.s.l.) (**b**), at the dammed point on the Yarlung Zangbo River below the Jialabailei glacier (N 29.748\({}^{\circ}\), E 94.934\({}^{\circ}\), 3033 m.a.s.l.) (**c**), in the Dadongshuyakou snow-covered area (N 38.015\({}^{\circ}\), E 100.244\({}^{\circ}\), 4174 m.a.s.l.) (**d**), and at two sites in the Dayekou forest area (N 38.580\({}^{\circ}\), E 100.292\({}^{\circ}\), 2564 m.a.s.l.) (**e**,**f**).  
detailed monitoring of the daily variability in weather conditions in the surrounding alpine desert weather.  
The Jialabailei glacier is a typical marine glacier whose rapid accumulation and melting processes lead to frequent ice avalanches, some of which resulted in debris flows that dammed the Yarlung Zangbo River and created disasters. Half-hourly precipitation, humidity, and other meteorological data acquired near the glacier could aid stakeholders in the identification of damming events along the Yarlung Zangbo River, facilitating a rapid and scientifically informed responses to river-damming disasters.  
The collected snow depth and surface temperature data in the Dadongshuyakou snow-covered area could reflect snow accumulation and melting processes at high altitudes in the Qilian Mountains. These data could improve our understanding of the areal water cycle. Near real-time snow depth data could also be used to identify large snowfall events and provide early warnings for traffic safety on an important highway linking Qinghai and Gansu Provines in this area.  
Figure 6: Featured instruments and observation data. The instrument column provides the environmental monitoring device deployed in the farmost areas on the TP, the description column briefly introduces the featured variables, and the data column presents the variation in these data retrieved from the surrounding area of two glaciers on the TP and remote areas in the Qilian Mountains.  
Furthermore, the transmitted tree stemflow rate, photosynthetically active radiation and tree stem diameter data could reflect tree evapotranspiration, photosynthesis, and growth processes, respectively, in near-real time in the remote Dayekou forest area of the Qilian Mountains. In the past, the collection of these types of data was expensive and laborious.  
However, it is important to note that due to the reduction in transmission time caused by topographical blocking, \(\sim\)19% of the data obtained from stations in canyons and deep trenches could not be transmitted, which is acceptable. This situation could be significantly improved with the launch of new satellites.