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 |