What we do

Satellite remote sensing acquires information about attribute or phenomena from space. Space borne sensors detect the electromagnetic spectrum scattered or radiated from earth or natural environment. The spectrum of satellite remote sensing includes visible light as well as near-infrared light, thermal radiation, and microwave radiation. Applications for satellite remote sensing include estimating above ground biomass, extracting and analysis of tidal flat channels using DEM(Digital Elevation Model) generated from satellite imagery. We are interested in understanding the principle of synthetic aperture antenna which is an active satellite remote sensing system and using it for global environmental observation. And we also use satellite remote sensing data to monitor and interpreter for Global changes in the natural environment. 

Near-Ground Remote Sensing is a remote exploration technique designed to compensate for the problems of data acquisition occurring in remote sensing. In the case of long-distance remote sensing, the image quality may be deteriorated due to the influence of weather conditions such as fog and clouds. To solve this problem, Drone and Terrestrial LiDAR can be used to conduct remote sensing at a close distance without being affected by weather conditions such as clouds.Terrestrial LiDAR obtain high-precision optical data from surveying the ground under clouds. And optical sensor equipped Drone can easily and quickly obtain optical data where it is hard to use Terrestrial LiDAR. We produce DEMs with acquired data and use these data to perform canopy analysis of vegetation and time series analysis of growth values.

Blue carbon refers to carbon absorbed by coastal marine ecosystems, mangrove forests, salt marshes, seaweeds and algae. It plays an important role in sequestering C to weaken the atmospheric CO2 that contributes to climate change. These ecosystems sequester C within their underlying sediments, within living biomass aboveground (leaves, stems, branches) and belowground (roots), and within nonliving biomass (eg litter and dead wood). We emphasize the importance of monitoring using remote sensing and the need for data collection to conserve and protect these ecosystems. To achieve the ultimate goal of this study, we obtain precise data using remote sensing which can lead to various results depending on the satellite and near-ground remote sensing.