A monthly message from MOST Center for Global Affairs and Science Engagement (GASE) View newsletter in your browser
Radar and Remote Sensing seem far from our lives but are actually close to our everyday lives. From weather forecast to maps and automotive navigation systems, it all depends on radar and remoting sensing technology to provide information. Remote sensing mainly uses artificial satellites, airplanes, or Unmanned Aerial Vehicles (UAVs) to conduct observations and transmit the data back to the ground through Electromagnetic Radiation (EMR). After receiving data from EMR, the satellite ground receives stations will start analyzing the data and use the information on resource investigation, environmental monitoring, weather forecast, and disaster prevention.... Read More
Taiwan is a pioneer in remote sensing research and applications in Asia. Remote Sensing (RS) is an effective and efficient way of collecting data and information, which utilizes assorted platforms and sensors to detect, explore and monitor various characteristics and phenomena. Combined with Geographic Information Sciences (GIS) and Global Navigation Satellite Systems (GNSS), the “3S” technologies are the fundamentals of Geoinformatics and an indispensable element of information infrastructure in the modern society. The National Space Organization (NSPO) of the National Applied Research Laboratories (NARLabs) will launch 10 RS satellites, including high resolution, very high resolution, and SAR (Synthetic Aperture Radar) satellites in the next decade to further strengthen the RS capacity in Taiwan.
This month’s issue highlights a few examples of advanced remote sensing research and applications recently carried out by researchers in Taiwan. These cases demonstrate the integration and use of diversified remote sensing technologies and data to achieve sophisticated applications in different domains. The platforms involved include satellites, airborne planes and unmanned aerial vehicles (UAVs), and the data were collected using multi-spectral, LiDAR (Light Detection And Ranging) optical sensors, and SAR (Synthetic Aperture Radar) instruments. These data were processed and analyzed with state-of-the-art algorithms and methods, including spatial analysis and machine learning techniques developed by the researchers. The outcomes of this research support assorted advanced applications in different domains integrating application and international cooperation in multiple fields, such as hazard investigation and mitigation, land subsidence monitoring, bathymetry mapping, water quality assessment, riverbed grain size analysis, and precision farming support (agricultural disaster assessment). The examples presented above provide a solid demonstration of the achievements in remote sensing research and applications in Taiwan.
Editor in Chief
Ying-Shao Hsu (National Taiwan Normal University)
Hsieh-Lung Hsu (National Central University)