Geo 213 Final I Flashcards
The big three?
GPS
GIS
REMOTE SENSING
-acquisition and analysis of image data from aircraft and satellite systems
Remote sensing applications?
Homeland Security Forestry Weather forecasting Urban planning Agriculture
Key areas of development?
Radar
Lidar
UAV
Parts?
Instrument - what is taking the picture
Platform - vehicle upon which instrument is mounted
=aircraft, spacecraft
Active vs. Passive?
Active - emits energy and records reflected energy off of object = “flash”
Passive - does NOT emit energy, uses natural energy (sun) = no “flash”
Extra helps to remote sensing
In-situ data = on the ground
-connect remote sensing data to real world
Ancillary data = maps, reports, etc…
Value of field work
#1 - imagery can be geometrically and radiometrically calibrated #2 - data must be interpreted/analyzed = compared to what is on the ground
What is radiometric calibration?
Converting digital numbers to something physical
=use targets of known reflectance to convert raw data
(atmosphere messes data up)
Advantages to remote sensing?
1) collect data systematically
- through time = compare changes over time
2) unobtrusive, passive
- (privacy a concern)
3) can collect valuable data
- it works! (most of the time)
Limitations to remote sensing?
1) often oversold
- have realistic expectations
2) ACTIVE RS can be intrusive
3) can be expensive to collect, analyze
Five project phases
1) statement of problem
2) data collection
3) preprocessing phase
4) analysis phase
5) present information, solve problem
Types of resolution
Spectral *false color / color infrared : -IR = red -Green = blue -Red = green -Blue = n/a Spatial *how small of an element can I detect on ground? Temporal *how often can I get the overpass of airplane/satellite to collect data?
Spectral resolution
single, multispectral, hyperspectral
- multi = LANDSAT, ASTER
- hyper = AISA
Spatial resolution
Resolution given as pixel size = ground size
i.e. 1m, 20m, etc..
Temporal resolution
shorter generally better - can combine for longer term but cannot subdivide long into small