This document discusses remote sensing. It defines remote sensing as acquiring information about objects without direct contact, using electromagnetic radiation. It describes how remote sensing uses platforms like aircraft and satellites to collect passive and active sensor data. It provides examples of different sensor types, including photography, infrared, LIDAR, and multispectral scanning. It also discusses important remote sensing concepts like spatial, spectral, radiometric, and temporal resolution. Finally, it highlights how the SLOSH model uses remote sensing data to accurately predict hurricane storm surges and inundation areas.