Geospatial Data Flashcards
metadata
information that describes the content, quality, condition, origin and other characteristics of data or other pieces of information
Federal Geographic Data Committee (FGDC)
format for metadata - who, what, when, where, why and how - include title, abstract and date, geographic extent and projection info, attribute label definitions and domain values - Content Standard for Digital Geospatial Metadata (CSDGM)
ISO 19115
developed for documenting vector and point data and geospatial services (web-mapping, data catalogs, and data modeling applications)
ISO 19115-2
adds elements to describe imagery and gridded data as well as data collected using instruments (monitoring stations and measurement devices)
Quality Assurance
process oriented and focuses on defect prevention - establishment of good quality management system and assessment of its adequacy - periodic audits - managerial tool
Quality Control
product oriented and focuses on defect identification - finding and eliminating sources of quality problems through tools and equipment - corrective tool
Archiving
captures, manages, and analyzes data changes - most often done with gdbs
Retreival
Similar to a backup
Join
Combine two attribute tables into one using a common key between tables
Merge
Combines multiple input datasets of the same data type into a single new output
Append
Combines datasets of same data type into an existing dataset
Union
Combines input features with another feature dataset
Clip
Extracts input features that overlay the clip features (keeps input attributes)
Intersect
extracts features which overlap in all layers to new feature class (joins attribute tables)
Geomatics
science and technology of gathering, analyzing, interpreting, distributing, and using geographic information (includes surveying, mapping, remote sensing, GIS, GPS)
Remote Sensing ( Field Data Collection)
3 resolutions - spatial, spectral (electromagnetic spectrum measured), temporal (repeat cycle)
Ground Survey (Field Data Collection)
expensive and time consuming
Field Data Collection methods
planning, preparation, digitizing and transferring, editing and improvement, evaluation
GPS (Field Data Collection)
24 satellites - orbit earth twice a day - revolution every 12 hours - altitude to about 12,000 miles - started by US Department of Defense (DOD) in the 1970’s for military
Space Segment
NAVigation Satellite Timing and Ranging (NAVSTAR) constellation - GPS satellites which transmits signals on two phase modulated frequencies - transmit a navigation message that contains orbital data for computing the positions of all satellites
Standard Positioning Service (GPS)
signal broadcast for civilian use
Horizontal location (GPS)
3 satellites are required
Vertical Position (GPS)
min 4 satellites are required
How does GPS calculate distance?
by measuring the time interval between the transmission and reception of a satellite signal
Trilateration
used to determine position of GPS receiver
How is GPS accuracy determined?
type of GPS receiver, field techniques, post processing of data, error from various scenarios
3 Types of GPS Receivers
Recreational Grade, Mapping Grade, Survey or High Accuracy Grade
Multipath (GPS Error)
errors caused by reflected GPS signals arriving at the GPS receiver - nearby structures and other reflective surfaces
Atmosphere ( GPS errors)
GPS signals can experience delays when traveling through the atmosphere - common atmospheric conditions can affect GPS signals such as tropospheric delays and ionospheric delays
Distance from Basse Station (GPS errors)
differential correction will increase the quality of the data, accuracy is degraded slightly as the distance from the base station increases
Selective Availability (GPS errors)
Intentional degradation of the GPS signals by the department of defense (DOD) to limit accuracy for non-US military and government users - currently turned off, but can turn it back on whenever
Noise (GPS errors)
error is the distortion of the satellite signal prior to reaching the GPS receiver and or additional signal piggy backing onto the GPS satellite signal
PDOP
Position Dilution of Precision - collect data when there is an optimum satellite availability (four or more) and when satellites are in an appropriate configuration to produce an acceptable (lower) PDOP value - higher PDOP values are bad
PDOP values
set to 6 or less - Higher levels will be less reliable data
Signal to Noise Ration (SNR) mask
set the value of the SNR mask higher to help minimize noise error - use manufacturer recommendations
Elevation Mask
set it to 15 degrees - default angle to minimize the amount of atmosphere through which the satellite signal has to travel
Data Collection Rate (sync rate)
recommended to collect point data at 1-second interval - collect polygon and line data at a 5 second interval - collect point data at the same data collection interval as the base station
Datum (GPS)
GPS receivers are designed to collect GPS positions relative to the WGS84 datum - can designate what datum to be used