On April 20, 2010, a bubble of high pressure methane gas rose from the seabed to the oil rig and triggered a massive explosion that destroyed the oil rig and resulted in 11 casualties and a well blowout that flowed for 87 days and leaked an approximated 4.9 million barrels of oil into the Gulf of Mexico. In an attempt to mitigate the damage, a massive cleanup effort ensued that involved multiple agencies and coastal communities that relied heavily on the use of geospatial data to respond to this crisis.
Remote sensing and geospatial data play a pivotal role in disaster management allowing responders to analyze the overall situation on a large scale and continually monitor events using satellite imagery and real-time ground truth. In the case of the Gulf Oil Spill, remote sensing played a critical role in tracking the movement of the oil slick on the ocean surface and its eventual penetration into sensitive coastal areas. This presentation will demonstrate how remote sensing and geospatial mapping products can be employed to quickly respond to an evolving crisis situation.
Since the FAA’s decision to accept LiDAR and imagery as technologies for airport mapping, combining these two formats has helped provide a wealth of information on airport facilities. The process of extracting relevant information from these data sources has become much easier with advances in automated exploitation capabilities. LiDAR data can be used to produce highly accurate 2D and 3D models such as buildings, vertical obstructions and vegetation. Our webinar will explore common feature extraction techniques using imagery and LiDAR data that can be used to expedite the process of collecting information on runway markings, land classes and surface composition.
See how LIDAR Analyst™ and Feature Analyst™ can be used to extract vital information from LiDAR data and imagery.