ides gis workshop day 4 - dawn wrightdusk.geo.orst.edu/pickup/ides/ides_intro4.pdf · ides gis...
TRANSCRIPT
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IDES GIS Workshop Day 4
Professor Dawn Wright
Grad Assistant Lalo Guerrero
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Feature Type! !Single Part ! !Multi-Part!
Point!!Line !!!
Area!!Annotation!!!!
W A Y 10
Object/Vector Feature Types
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Raster or Grid Data Structure. R o w s
Columns
Grid!cell!
Grid extent!
Resolution!
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Feature Type! !Single Part ! !Multi-Part!
Point!!Line !!!
Area!!Annotation!!!!
W A Y 10
Object/Vector Feature Types
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“Rasters tell WHAT occurs everywhere.”
! natural for scanned or remotely sensed data.
! continuous surfaces (e.g., topography) ! spatial analytical operations are faster. ! compression is easier
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Orange County, CA
Courtesy of Russ Michel, Pictometry Intl. Inc.
Raster
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Vector
Projected with flat ground plane Projected with tessellated ground plane
Courtesy of Russ Michel, Pictometry Intl. Inc.
Orange County Street Centerlines
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National Polar-orbiting Operational Environment Satellite System (NPOESS), a next-generation platform for weather and climate.
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Courtesy of Ted Strub, OSU CIOSS
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Components of a passive remote sensing system Example with infrared or microwave wavelengths
signal raw data
processing / dissemination calibration/
validation
sensor
IR or µ-wave Emission
Two types of remote sensing:
Passive
Courtesy of Ted Strub, OSU CIOSS
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LandSat is an example of a passive remote sensing system (spaceborne satellite)
IR or µ-wave Emission
Old MSS – Multispectral
Scanner
Current ETM –Enhanced
Thematic Mapper
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Components of an active remote sensing system Transmit at nadir (directly beneath satellite)
source and sensor!
signal raw data
processing / dissemination calibration/
validation
Two types of remote sensing:
Active
µ-wave radar Reflection
Courtesy of Ted Strub, OSU CIOSS
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LIDAR is an example of an active remote sensing system (airborne)
IR or µ-wave Emission
A. Nayegandhi, USGS
Aircraft elevation ~700 m
Scan width ~300 m
Scan angle ~30°