Remote-Sensing
Remote-Sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device that is not in contact with the object under investigation. This technology is fundamental to Earth-Science and Geospatial-Analysis. By capturing electromagnetic radiation, Remote-Sensing systems allow for the observation of large-scale environmental patterns.
Sensors are primarily classified as either passive or active. Passive sensors, such as those on the Landsat series or MODIS, detect natural radiation emitted or reflected by the Earth. In contrast, active sensors like LiDAR and RADAR emit their own energy to illuminate the target. As detailed by the NASA Remote Sensing Guide, these tools are essential for monitoring Climate-Change and managing Natural-Resources.
Modern applications of Remote-Sensing include Precision-Agriculture, Disaster-Management, and Oceanography. Organizations like the USGS utilize these datasets to track land-use changes over time. The integration of Machine-Learning has significantly improved the automated classification of Satellite-Imagery, providing faster insights for urban and rural development.