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Geography 30 flashcards ~15 min

Geographic Information Systems and Remote Sensing

Modern geography relies heavily on digital tools to capture and analyze spatial data. This deck covers Geographic Information Systems (GIS), remote sensing, and satellite imagery, along with core concepts like raster and vector data models, geocoding, and digi...

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Modern geography relies heavily on digital tools to capture and analyze spatial data. This deck covers Geographic Information Systems (GIS), remote sensing, and satellite imagery, along with core concepts like raster and vector data models, geocoding, and digital elevation models. You'll also review GPS technology, LiDAR, spatial analysis techniques like buffering and overlay, and modern applications like crowdsourced mapping. Ideal for students studying geospatial technology, urban planning, or environmental science.

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Geographic Information System.
Capturing, storing, analyzing, and displaying spatial or geographic data.
Collecting data about the Earth's surface from a distance, typically via satellites or aircraft.
Observing land use, weather, and environmental changes from space.
Data that describes the location and shape of features on Earth.
A grid-based data structure representing spatial data as cells or pixels.
A data structure representing spatial data as points, lines, and polygons.
The process of converting addresses into geographic coordinates.
A 3D representation of terrain elevation.
Global Positioning System, used to determine precise location using satellites.
At least four.
A map designed to display a particular theme or subject, like population density.
Examining geographic data to identify patterns and relationships.
A zone of a specified distance around a geographic feature.
Combining multiple map layers to analyze spatial relationships.
A remote sensing method using laser light to measure distances and create precise maps.
An image that has been aligned with real-world geographic coordinates.
Categorizing land surface types such as forest, urban, or water using remote sensing.
A map using colors or shading to represent data values across regions.
Mapping created using contributions from many individuals, such as OpenStreetMap.
A structured database designed to store and manage geographic data.
The size of the smallest feature that can be detected in an image.
How frequently a satellite revisits and images the same location.
Capturing image data across multiple wavelength bands, including beyond visible light.
Detecting heat signatures and vegetation health.
A method of representing the curved Earth's surface on a flat map.
Estimating unknown values at unsampled locations based on known nearby data points.
An interactive map displayed and accessed through a web browser.
Urban planners, environmental agencies, and emergency responders.
The ability to layer, analyze, and update spatial data dynamically.