GIS Exam #2

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Click Click, goes the crab : Remote Sensing with their eyes : Oh no, pufferfish

Last updated 10:18 PM on 4/13/26
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50 Terms

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What is remote sensing?

Collecting information about Earth’s surface without direct contact using sensors.

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What role does the electromagnetic spectrum play in remote sensing?

Sensors measure reflected or emitted electromagnetic energy at different wavelengths.

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What is an image band?

A specific range of wavelengths captured by a sensor.

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Difference between active and passive sensors?

Passive records natural energy; active emits its own signal and records the return.

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Example of a passive remote sensing system

Landsat satellite imagery.

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Example of an active remote sensing system

Radar or LiDAR.

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Key difference between aerial photography and satellite imagery

Aerial photos have higher spatial resolution; satellites cover larger areas repeatedly.

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Common uses of imagery in GIS

Base maps, land cover classification, change detection.

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What is GPS?

A satellite-based system used to determine precise location on Earth.

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What information does GPS provide?

Location, elevation, time, and sometimes speed.

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How does GPS determine location?

Trilateration using distances from at least four satellites.

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What are the three GPS segments?

Space, Control, and User segments.

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What causes GPS error?

Atmospheric delay, satellite geometry, multipath error, clock issues.

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What are the two components of vector data?

Geometry and attributes.

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What do rows represent in an attribute table?

Individual features.

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What do columns represent in an attribute table?

Attributes describing features.

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What is an attribute query?

Selecting features based on attribute values.

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Common attribute query operators

=, >, <, AND, OR, LIKE.

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What is a table join?

Joining tables using a common field.

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What is a spatial join?

Joining data based on spatial relationships.

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What is spatial selection?

Selecting features based on location.

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What is spatial analysis?

Using GIS tools to answer spatial questions.

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What is proximity analysis?

Measuring distance between features (e.g. buffers).

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What is overlay analysis?

Combining multiple vector layers to create new information.

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Intersect overlay result

Keeps only overlapping areas.

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Union overlay result

Combines all areas from all layers.

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Clip overlay result

Cuts features to a boundary.

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Erase overlay result

Removes areas where layers overlap.

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Identity overlay result

Keeps input geometry but adds overlay attributes.

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What does Dissolve do?

Merges features based on a shared attribute.

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What is site suitability analysis?

Identifying the best location using multiple criteria.

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Nominal data definition

Categories with no order.

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Ordinal data definition

Ranked categories.

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Interval data definition

Equal intervals, no true zero.

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Ratio data definition

Equal intervals with a true zero.

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Best data types for choropleth maps

Interval and ratio data.

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Why must choropleth maps use normalized data?

To avoid misleading size-based comparisons.

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What is the raster data model?

Data represented as a grid of cells with values.

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What is raster analysis?

Cell-by-cell analysis of raster layers.

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Why convert vector data to raster?

To use raster operations and map algebra.

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What is map algebra?

Mathematical operations applied to raster layers.

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What does slope represent?

Steepness of terrain.

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What does aspect represent?

Direction a slope faces.

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What are contour lines?

Lines connecting points of equal elevation.

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What is hillshade used for?

Visualizing terrain relief.

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What is a viewshed?

Areas visible from a specific point.

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How is census data typically stored in GIS?

As attribute data tied to polygons.

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Why must census data be normalized?

To allow fair comparison between areas.

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Key risk when using census data

Misinterpretation due to scale or poor joins.

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Key mindset for the practical GIS exam

Think layers, criteria, analysis order, and justification.