Data Capture

The capture of massive quantities of spatial data, able to be distributed and shared in real time, provide for an ever-increasing range of environmental and societal applications. Data capture includes the principles, methods, technologies, applications, and institutional/programmatic aspects of spatial data acquisition. Sources of data include global navigation satellite systems, satellite and aerial sensing, field surveys, land records, socioeconomic data (e.g., census), volunteered geographic information, wireless sensor networks, and unmanned aerial systems.

Topics in this Knowledge Area are listed thematically below. Existing topics are in regular font and linked directly to their original entries (published in 2006; these contain only Learning Objectives). Entries that have been updated and expanded are in bold. Forthcoming, future topics are italicized

 

Digital Data Sources & Capture Methods Land Surveying and Global Navigation Satellite Systems (GNSS)
Text as a GIS Data Source Professional Land Surveying
Historical (Paper) Maps Land records
Aerial Photography Global Navigation Satellite Systems
Ground or Street-Level Imagery  
Mobile Applications Field Data Collection
Social Media Platforms Field Data Capture Technologies
Remote Sensing Platforms & Sensors Sampling: Size Selection, Sample Types, Intervals
Mission planning U.S. Census Data
Nature of multispectral image data Volunteered Geographic Information (VGI)
Remote Sensing Platforms overview  
Landsat  Data Coordinating Organizations
LiDAR Spatial Data Sharing Among Organizations
Hyperspectral Imagery State & Regional Coordinating Bodies
Unmanned Aerial Systems (UAS) Federal Agencies & National Organizations and Programs
Thermal Imagery International Organizations & Programs
Radar, Sonar, and Echolocation  
   
Processing Remotely-Sensed Data  
Image Interpretation: Aerial Photography & Satellites  
Spectral Properties of Terrestrial Surfaces  
Stereoscopy and orthoimagery  
Vector data extraction  
Algorithms and processing  
Ground Verification and Accuracy Assessment  

 

DC-14 - Vector data extraction
  • Describe the source data, instrumentation, and workflow involved in extracting vector data (features and elevations) from analog and digital stereoimagery
  • Discuss future prospects for automated feature extraction from aerial imagery
  • Discuss the extent to which vector data extraction from aerial stereoimagery has been automated

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