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 Capture Land Surveying and GPS  
Data capture methods Survey theory and electro-optical methods  
  Land records  
Aerial Imaging Global Positioning System  
Nature of aerial photograph data    
Aerial photography image interpretation Field Data Collection  
  Spatial sample types  
Remote Sensing Platforms & Sensors Sample size selection  
Remote Sensing Platforms overview Sample intervals  
Nature of multispectral image data Census data  
Multispectral sensors and programs Field data technologies  
LiDAR data Volunteered Geographic Information (VGI)  
Unmanned Aerial Systems (UAS)    
Mission planning Data Coordinating Organizations  
  Spatial data sharing among organizations  
Processing Remotely-Sensed Data Federal agencies, National & International Organizations  
Stereoscopy and orthoimagery State and regional coordinating bodies  
Vector data extraction    
Algorithms and processing    
Ground verification and accuracy assessment