Influence of satellite geometry and differential correction on GPS location accuracy

Citation
C. Dussault et al., Influence of satellite geometry and differential correction on GPS location accuracy, WILDL SOC B, 29(1), 2001, pp. 171-179
Citations number
12
Categorie Soggetti
Environment/Ecology
Journal title
WILDLIFE SOCIETY BULLETIN
ISSN journal
00917648 → ACNP
Volume
29
Issue
1
Year of publication
2001
Pages
171 - 179
Database
ISI
SICI code
0091-7648(200121)29:1<171:IOSGAD>2.0.ZU;2-1
Abstract
The location accuracy of Global Positioning System (GPS) units depends on l ocation type (3-dimensional, 3-D>2-dimensional, 2-D) and satellite geometry (indexed by horizontal dilution of precision, HDOP). To determine the best computation method for positions collected by CPS telemetry collars in hil ly terrain, we used a stationary GPS collar that attempted to calculate a p osition every 10 minutes for 5 days, and we evaluated the relationship betw een horizontal and vertical location accuracy and HDOP (range of HDOP, 3-D= 1.4 to 489.1, 2-D=1.4 to 4,891). The 50th and 95th percentiles of horizonta l and vertical location error were related linearly to HDOP. Location error depended mainly on accuracy of the collar altitude estimate used to comput e the position in 2-D. Most forced 2-D locations not differentially correct ed were more accurate than 3-D locations when collar altitude error was les s than or equal to 50 m. It was better to force the computation of 2-D posi tions from differentially corrected 3-D locations with HDOP>15 when the col lar altitude error was less than or equal to 10 m. We also used data collec ted on 10 free-ranging moose (Alces alces) for 12 months to examine whether moose altitude could be estimated accurately using prior 3-D locations. Ac curacy of moose altitude estimation was related inversely to the time elaps ed since the first 3-D location used to make the estimate. When animal alti tude is likely to vary greatly within small time periods, we suggest runnin g the differential correction program twice for a single time period, using an HDOP cutoff of 20-25 in the first run and 10-12 in the second. All 3-D positions computed during the first processing of the data should be kept b ur only the 2-D locations calculated in the second pass should be used beca use they were calculated using more accurate estimates of animal altitude. When applying this method to our data, only 9% of successful locations are discarded and we estimate that horizontal location error is <35 m 95% of th e time.