부산대학교 도서관

Emerging technologies such as IoT(Internet of Things) and UAS(Unmanned Aircraft Systems) enable new observing capabilities. In particular, infrared sensing of CO 2 and surface temperature with satellite infrared radiometers have been operationally used since the 1970s for atmospheric soundings, and sea/land surface temperatures, such as with NOAA's HIRS/AVHRR radiometers. Recent advances also allow the unprecedented CO 2 retrieval accuracy with the launch of OCO-2, GOSAT, IASI, CrIS, as well as ground measurements by the TCCON network. However, the retrievals from satellites have very coarse spatial resolution (a few kilometers) which limits their usefulness especially for urban areas, in addition to latency issues. This study explores the use of portable infrared sensors inter-connected through IOT as payloads on mobile platforms such as UAS, automobile, and on distributed networks to demonstrate in-situ dynamic measurements of CO 2 , as well as surface temperature over water and land. While the IoT enables realtime monitoring with high temporal resolution, the UAS allows high spatial resolution measurements in areas with greater CO 2 and surface temperature variability. The low system cost allows its potential proliferation towards a large distributed network with IOT. Such a system could fill in a gap in existing observation systems, and complement the ground based network for the monitoring and satellite validation of a large number of geophysical variables for environmental intelligence, which is a desired observation capability but currently limited to a number of sparsely distributed stations.