Week 11 Flashcards
what is hyperspectral?
continuous spectrum, often hundreds to thousands of bands
if hyperspectral is better, why do we not use it?
financial and computational costs
what is LiDAR and what is it used for?
light detection and ranging, used for vehicle automation, DSM/DEM
discrete vs full waveform LiDAR
discrete return - records individual points for the peaks in the waveform curve
full waveform - records distribution of returned light energy
what is GNSS?
the global navigation satellite system
what are the two uses of GNSS and their applications?
GNSS-reflectometry - lake ice thickness, tide, soil moisture, snow depth
GNSS-R satellite missions - ocean wind measurement, lake ice cover monitoring, sea ice monitoring, flood detection
what are pros and cons of GNSS-R?
pros - low cosy, temporal and spatial coverage
cons - L-band only, far distance (weak signals)
how does altimetry work?
satellite emits radar pulse, pulse starts to make contact with the surface, more pulse is returned increasing power received over time, power starts to decrease as the edges of the pulse are returned
what are some applications of altimetry?
sea level height, wave heights, lake ice
pros and cons of drones for remote sensing
pros - flexibility in monitoring, easy to use, high resolution, flexibility for sensors
cons - costly to buy, lots of legislation, disruptive, safety concerns
what are some machine learning (AI) applications in remote sensing?
image classification/segmentation, feature detection, prediction, regression
