Landscape Change - University of Miami
Transcript of Landscape Change - University of Miami
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Tutorial 1: Remote SensingRemote Sensing: Platforms, physics, data,
data availability and acquisition
IAI Summer Institute
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Landscape Change
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Definition of Remote Sensing
¥ The acquisition and measurement of data/information onsome property(ies) of a phenomenon, object, or material bya recording device not in physical, intimate contact withthe feature(s) under surveillance; techniques involveamassing knowledge pertinent to environments bymeasuring force fields, electromagnetic radiation, oracoustic energy employing cameras, radiometers andscanners, lasers, radio frequency receivers, radar systems,sonar, thermal devices, seismographs, magnetometers,gravimeters, scintillometers, and other instruments.
¨ Source: NASA tutorial on remote sensing:http://rst.gsfc.nasa.gov/Intro/nicktutor_I-1.html
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Definition of Remote Sensing
¥ Whew!
¥ Better: Sensing for measurement from a distance.
—Hearing, seeing, smelling are all remotesensing, but here we focus on one kind:
—Measurement, by satellite-borne sensors, of theelectromagnetic energy reflected or emittedfrom objects on the Earth s surface.
Source of image: http://rst.gsfc.nasa.gov/Intro/nicktutor_I-1.html
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Nature of Remote Sensing Data
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Multiple Bands of Satellite DataLandsat 4 & 5 data consist of seven layers of data
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Combining Bands in Clever Ways
5-4-3 Color Composite: Band 5=Red, 4=Green, 3=Blue
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What Else Can Be Done with RS Data?
NDVI = (IR - Red)(IR + Red)
-1 to +1
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What do those numbers mean?Electromagnetic Spectrum of Radiant Energy
Short WavelengthHigh FrequencyHigh Energy
Long WavelengthLow FrequencyLow Energy
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Solar and Terrestrial EnergyDistribution by Wavelength
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Some Light Is Reflected
Albedo: reflective quality of a surface, expressed as percent of incident light reflected.
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Some Light is Scattered
Need figure of light scattering
Source: http://covis1.atmos.uiuc.edu/guide/optics/html/scattering.html
Rayleigh ScatteringMie Scattering
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Some Light is Absorbed
Need image of absorption
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Atmospheric Alteration of Radiant Energyand Pathways from the Sun to the Sensor
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Absorbance/Reflectance Spectrum
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Spectra of Different Materials
USGS Spectral Library http://speclab.cr.usgs.gov/spectral-lib.html
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Platforms and Instruments
SPOT 4
Landsat 7 Artist s Impression
AVHRR
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Remote Sensing Platforms HaveBeen Designed to Sense
Electromagnetic Energy inVarious Bands in Order to Take
Advantage of TheAbsorption/Transmission
Properties of the Atmosphere
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Example: MSS
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AVHRR
Advanced Very-High Resolution Radiometer
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AVHRR
Advance Very High Resolution Radiometer.
NOAA Polar Orbiting Environmental Satellites (POES)
Spatial Resolution = 1.1km
Temporal Resolution = Daily
Spectral Range and Resolution
Band NOAA-6,8,10 NOAA-7,9,11,14
Nbr. IFOV
1 0.58 - 0.68 0.58 - 0.68 1.39
2 0.725 - 1.10 0.725 - 1.10 1.41
3 3.55 - 3.93 3.55 - 3.93 1.51
4 10.50 - 11.50 10.3 - 11.3 1.41
5 band 4 repeated 11.5 - 12.5 1.30
(micrometers) (micrometers) (milliradians)
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Landsat Series
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Landsat Series
Landsat7 ETM+
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Landsat Program - System Summary
This table, and most of the Landsat 7 images were taken from the Landsat 7 Science DataUser s Book: http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_toc.html
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Ground Receiving Stations
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Landsat 4, 5
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Landsat 4 and 5 and TM Characteristics:
Band Number Spectral Range(microns) Ground Resolution(m) 1 .45 to .52 30 2 .52 to .60 30 3 .63 to .69 30 4 .76 to .90 30 5 1.55 to 1.75 30 6 10.40 to 12.5 60? 7 2.08 to 2.35 30
Swath width: 185 kilometers Repeat coverage interval: 16 days (233 orbits) Altitude: 705 kilometers Quantization: 8 Bit, 256 levels On-board data storage: ? Recording Tape Inclination: Sun-synchronous, 98.2 degrees Equatorial crossing: Descending node; 10:00am +/- 15 min. Launch vehicle: Various Launch date: 1 March 1984 (5), 16 July 1982 (4)
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Landsat 4 and 5 and TM Band Applications:
Color Band (µm) Application
Blue 0.45 - 0.52 Soil/vegetation discrimination, deciduous/coniferous forest differentiation, clear-water bathymetry
Green 0.52- - 0.60 Growth/vigor indication for vegetation,sediment estimation, turbid-water bathymetry
Red 0.63 - 0.69 Crop classification, ferric iron detection, ice and snow mapping
Near Infrared (NIR) 0.76 - 0.90 Biomass surveys, water-body delineation
Short-wave IR 1.55 - 1.75 Vegetation moisture, snow-cloud differentiation
Short-wave IR 2.08 - 2.35 Hydrothermal mapping, rock/soil type discrimination for mineral and petroleumgeology
Thermal IR 10.4 - 12.5 Thermal mapping, plant stress, urban/non-urban land-use differentiation
Source: Mika, A.M. Three decades of Landsat instruments. PE & RS. 43:839 - 852.
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Landsat 7
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Landsat 7 and ETM+ Characteristics:
Band Number Spectral Range(microns) Ground Resolution(m) 1 .45 to .515 30 2 .525 to .605 30 3 .63 to .690 30 4 .75 to .90 30 5 1.55 to 1.75 30 6 10.40 to 12.5 60 7 2.09 to 2.35 30 Pan .52 to .90 15
Swath width: 185 kilometers Repeat coverage interval: 16 days (233 orbits) Altitude: 705 kilometers Quantization: Best 8 of 9 bits On-board data storage: ~375 Gb (solid state) Inclination: Sun-synchronous, 98.2 degrees Equatorial crossing: Descending node; 10:00am +/- 15 min. Launch vehicle: Delta II Launch date: February 1999
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SPOT
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SPOT, TM, MSS Comparative ChartAVHRR Bands
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Orbital Patterns
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Orbital Patterns
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SPOT Orbital Patterns
And Ground Receiving Stations
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GOES
http://www.nnic.noaa.gov/SOCC/gifs/GOESsys.gif
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Newer Satellite Platforms
¥ Shuttle: SIR-C/SAR
¥ MODIS
¥ ASTER
¥ RADARSAT
¥ See NASA NRA Appendix F for LongerList (link in GEO 5145c syllabus)
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Active Sensors
¥ Microwave Radar—Airborne
—Satellite Borne¥ ERS-1
¥ JERS-2
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Remote Sensing Data
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Data Availability and Acquisition¥ Emphasis on Landsat TM, MSS; SPOT; AVHRR¥ Landsat - EOSAT (Space Imaging), USGS (EROS Data
Center)¥ SPOT - SPOT Image Corp.¥ AVHRR - Advanced Very High Resolution Radiometer
(Spectral, not Spatial Resolution); Satellite by NationalOceanic and Atmospheric Administration (NOAA). Muchdata available form USGS EROS, other sources
¥ Others (See Space Imaging Site:http://www.spaceimage.com/—JERS—Indian (IRS)—etc.
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Finding Your Scene(s)¥ Worldwide Reference Systems
— See http://www.clas.ufl.edu/users/mbinford/geo5145/fltm_scene.gif for theexample for Florida - Pointer on class web site.
— Path-Row Notation¥ The combination of a Path number and a Row number uniquely
identifies a nominal scene center. The Path number is always givenfirst, followed by the Row number. The notation 127-043, forexample, relates to Path number 127 and Row number 043.
¥ WWW Resources (seehttp://www.clas.ufl.edu/users/mbinford/geo5145/RemoteSensingDataSites.html
pointer on class web site)— SPOT Image— Space Imaging EOSAT— EROS Data Center
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EROS DATA CENTER
http://edcwww.cr.usgs.gov/
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SpaceImaging (EOSAT)
http://www.spaceimage.com/
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SPOT Image
http://www.Spotimage.fr/
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Another Source of Data for SomeAreas
¥ Michigan State University Tropical ForestInventory Project ($25 per TM scene, $50per ETM+ scene, for selected scenes fromAmazonia, Africa, and southeast Asiatropical forests).
¥ URL:http://www.bsrsi.msu.edu/trfic/index.html
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Exercise: FIND YOUR SCENES
¥ Figure out where your study area is:—Latitude/Longitude—Path/Row in Landsat or SPOT WRS
¥ Go to data provider site, search archives¥ Have a look at images until you get several (3-4)
that meet your criteria (aha! Criteria? What is theQuestion?)
¥ List the Scene ID, t he date of acquisition, andthe Row/Path identifier.