1. A method of performing a probabilistic safe landing area determination for an aircraft, the method comprising: receiving sensor data indicative of current conditions at potential landing areas for the aircraft; performing feature extraction on the sensor data; performing geospatial partitioning of the sensor data to subdivide processing of the sensor data into a plurality of cells; collecting sensor data for the cells over a period of time; and computing slope and variance feature values of the cells based on the sensor data that are collected over the period of time; updating, by a processing subsystem of the aircraft, a probabilistic safe landing area map based on comparing extracted features of the sensor data with a probabilistic safe landing area model, the probabilistic safe landing area model defining probabilities that terrain features are suitable for safe landing of the aircraft; and generating a list of ranked landing areas based on the probabilistic safe landing area map.