Accuracy analysis of the 2014–2015 Global Shuttle Radar Topography Mission (SRTM) 1 arc-sec C-Band height model using International Global Navigation Satellite System Service (IGS) Network
Author(s) -
Manas Mukul,
Vinee Srivastava,
Malay Mukul
Publication year - 2016
Publication title -
journal of earth system science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 52
eISSN - 0973-774X
pISSN - 0253-4126
DOI - 10.1007/s12040-016-0716-8
Subject(s) - shuttle radar topography mission , remote sensing , mean squared error , geology , satellite , outlier , geodesy , computer science , digital elevation model , mathematics , statistics , artificial intelligence , aerospace engineering , engineering
Global Shuttle Radar Topography Mission (SRTM) data products have been widely used in Earth Sciences without an estimation of their accuracy and reliability even though large outliers exist in them. The global 1 arc-sec, 30 m resolution, SRTM C-Band (C-30) data collected in February 2000 has been recently released (2014-2015) outside North America. We present the first global assessment of the vertical accuracy of C-30 data using Ground Control Points (GCPs) from the International GNSS Service (IGS) Network of high-precision static fiducial stations that define the International Terrestrial Reference Frame (ITRF). Large outliers (height error ranging from -1285 to 2306 m) were present in the C-30 dataset and 14% of the data were removed to reduce the root mean square error (RMSE) of the dataset from similar to 187 to 10.3 m which is close to the SRTM goal of an absolute vertical accuracy of RMSE similar to 10 m. Globally, for outlier-filtered data from 287 GCPs, the error or difference between IGS and SRTM heights exhibited a non-normal distribution with a mean and standard error of 6.5 +/- 0.5 m. Continent-wise, only Australia, North and South America complied with the SRTM goal. At stations where all the X- and C-Band SRTM data were present, the RMSE of the outlier-filtered C-30 data was 11.7 m. However, the RMSE of outlier-included dataset where C- and X-Band data were present was similar to 233 m. The results suggest that the SRTM data must only be used after regional accuracy analysis and removal of outliers. If used raw, they may produce results that are statistically insignificant with RMSE in 100s of meters
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