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Remote Sensing > Midterm > Flashcards

Midterm Flashcards

1
Q

remote sensing

A

is the process of collecting data about objects or landscapes without coming in direct physical contact with them

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2
Q

airborne

A

attached to an airplane or drone

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3
Q

spaceborne

A

satellite or outer space

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4
Q

standard unit (SI)

A

metric system

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5
Q

algorithm

A

a set of instructions for solving a problem

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6
Q

vector data

A

data represented with points, lines and polygons, GIS data

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7
Q

raster data

A

Data within pixel on an image

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8
Q

blue-green-red

A

blue: .4 - .5 microns
green: .5 - .6 microns
red: .6 - .7 microns

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9
Q

kilo

A

thousand

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10
Q

mega

A

million

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11
Q

giga

A

billion

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12
Q

terra

A

trillion

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13
Q

infrared

A

0.7-3 microns

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14
Q

near-IR

A

0.7-1.3 microns

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15
Q

thermal

A

3-14 microns

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16
Q

microwaves

A

1cm - 1m, used in RADAR

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17
Q

panchromatic

A

.4-.7, whole color spectrum but gives a picture in black and white

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18
Q

normal color

A

shows the visible

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19
Q

color infrared

A

infrared band; colors we can’t see at all with our eyes

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20
Q

vertical angle

A

looking directly above, 2D

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21
Q

oblique angle

A

from an angle or from the side, gives 3D images and data

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22
Q

USGS

A

United States Geologic Survey

23
Q

NASA

A

National Aeronautics and Space Administration

24
Q

NOAA

A

National Oceanic and Atmospheric Administration

25
Q

LASER

A

light amplification by stimulated emission of radiation

26
Q

JPL

A

jet propulsion laboratory

27
Q

image

A

made of of pixels

28
Q

pixel

A

make up image, picture elements

29
Q

DN

A

digital number, within pixels, contains data that can be turned into a color

30
Q

spectral resolution

A

number of bands a sensor or satellite has or uses

31
Q

band

A

refer to a specific wavelength range of the electromagnetic spectrum that is used to capture and measure the reflectance or radiance of an object or surface

32
Q

spatial resolution

A
  • size or resolution of an image
  • 10m vs 100m
  • larger number means lower resolution
33
Q

temporal resolution

A

how often a sensor returns to a particular area; repeat time

34
Q

Landsat 4-5 (TM), 7 (ETM), 8-9 (OLI, TIRS)

A
  • spatial resolution: 15m, 30m
  • temporal resolution: 16 days
  • spectral resolution: 7 bands (TM), 8 bands (ETM), and 11 bands (OLI, TIRS)
35
Q

MODIS (EOS satellites)

A
  • spatial resolution: 250, 500m, 1000m
  • temporal resolution: 1-2 days
  • Spectral resolution: 36 bands
36
Q

VIIRS

A
  • spatial resolution: 375m, 750m
  • temporal resolution: Daily, 8-Day, 16-Day, Monthly, Yearly
  • spectral resolution: 22 bands
37
Q

SRTM

A
  • Shuttle radar topography mission
  • One time shuttle
  • 30m US, 90m global
  • provided topographical data we still use today
38
Q

Sentinel 2

A
  • temporal resolution: 5 days
  • spatial resolution: 10m, 20m, 60m
  • spectral resolution: 13 bands
39
Q

thermal remote sensing applications and what satellites and sensor?

A
  • Use landsat, modis, VIRS
  • sea surface temperatures
  • climate change
  • wildfires
  • predict storms
40
Q

spectral signatures

A
  • dominate color of an item
  • helps identifies the item when image is taken in the air
  • for ex: vegetation usually green
  • spectral reflection of plants, can be used to classify imagery
  • can also identify water
41
Q

phenology

A
  • the study of the timing of recurring biological events, the causes of their timing with regard to biotic and abiotic forces, and the interrelation among phases of the same or different species
  • basically the study of cyclical patterns (ex: when leaves drop, when plants flower, agricultural patterns, etc)
  • trees losing their leaves agricultural patterns
42
Q

NDVI

A
  • Normalized Difference Vegetation Index
  • quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs)
  • basically measures changes in greeness
  • measure of photosynthetic activity, goes from -1 to 1.
43
Q

passive remote sensing

A
  • record electromagnetic energy that is naturally reflected or emitted from the surface of the Earth
  • reflective and emitted energy
  • thermal sensors, Landsats
44
Q

active remote sensing

A
  • provide their own illumination that is transmitted from the sensor towards Earth; Whatever “backscattered” energy comes back is then recorded by the remote sensor.
  • gives off pulses
  • Radar, LiDAR
  • Lasers and microwaves
45
Q

RADAR

A
  • Radio Detection and Ranging (sometimes called active microwave remote sensing)
  • uses microwaves
  • best for topography and micro-topography
46
Q

LIDAR

A
  • Light Detection and Ranging
  • transmits relatively short wavelength
47
Q

InSAR

A
  • Interferometric Synthetic Aperture Radar
  • Produces DEMS (3D maps)
  • Studies earthquakes in real time
  • Was on SRTM
48
Q

small footprint LIDAR

A
  • LIDAR discrete returns system, All terrain mapping
  • Samples returned energy from each outgoing laser pulse
  • Most commercial airborne LIDAR is this kind
  • data recorded as x,y,z points
49
Q

large foot print LIDAR

A
  • LIDAR waveform systems
  • records the continuous range of the energy pulse (intensity) reflected by surfaces in the vertical dimension
  • Captures data like a flashlight, instead of like a laser pointer
  • Waveforms systems are ICESat, GEDI
50
Q

How is LIDAR processed and used?

A
  • Uses algorithms to process and create detailed 3D maps and models
  • Coastal erosion
  • Canopy height
  • Earthquakes
51
Q

Google Earth Engine and how its done?

A
  • Allows you to zoom in anywhere on earth; can see how something has changed
  • Took all landsat and shows changes over past 40 years
52
Q

NOAA GOES

A
  • NOAA made GOES satellite
  • most of it is thermal, gives info on weather.
  • Real time weather
  • Fire, moisture content
53
Q

FIRM (Global Fire website)

A
  • global fire weather set since 2000
  • can see every fire on earth today
  • uses Landsat modis
  • threshold 300 d Fahrenheit
54
Q

Global forest cover change, how did they do it?

A
  • see how vegetation changes
  • took NDVI and saw if greenness increased or decreased and came back
  • Use a threshold for what they think forest is and over a certain timeframe to show how its changed

Remote Sensing (1 decks)

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