Google Earth's derived digital elevation model: A comparative assessment with Aster and SRTM data

This paper presents a statistical analysis showing additional evidence that Digital Elevation Model (DEM) derived from Google Earth is commendable and has a good correlation with ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) and SRTM (Shuttle Radar Topography Mission) eleva...

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Bibliographic Details
Main Authors: Din, A.H.M (Author), Majid, M.R (Author), Rusli, N. (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2014
Subjects:
GIS
Online Access:View Fulltext in Publisher
View in Scopus
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245 1 0 |a Google Earth's derived digital elevation model: A comparative assessment with Aster and SRTM data 
260 0 |b Institute of Physics Publishing  |c 2014 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1088/1755-1315/18/1/012065 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902341041&doi=10.1088%2f1755-1315%2f18%2f1%2f012065&partnerID=40&md5=e6894a9f5125d23b58cdd38137df35e3 
520 3 |a This paper presents a statistical analysis showing additional evidence that Digital Elevation Model (DEM) derived from Google Earth is commendable and has a good correlation with ASTER (Advanced Space-borne Thermal Emission and Reflection Radiometer) and SRTM (Shuttle Radar Topography Mission) elevation data. The accuracy of DEM elevation points from Google Earth was compared against that of DEMs from ASTER and SRTM for flat, hilly and mountainous sections of a pre-selected rural watershed. For each section, a total of 5,000 DEM elevation points were extracted as samples from each type of DEM data. The DEM data from Google Earth and SRTM for flat and hilly sections are strongly correlated with the R2 of 0.791 and 0.891 respectively. Even stronger correlation is shown for the mountainous section where the R2 values between Google Earth's DEM and ASTER's and between Google Earth's DEM and SRTM's DEMs are respectively 0.917 and 0.865. Further accuracy testing was carried out by utilising the DEM dataset to delineate Muar River's watershed boundary using ArcSWAT2009, a hydrological modelling software. The result shows that the percentage differences of the watershed size delineated from Google Earth's DEM compared to those derived from Department of Irrigation and Drainage's data (using 20m-contour topographic map), ASTER and SRTM data are 9.6%, 10.6%, and 7.6% respectively. It is therefore justified to conclude that the DEM derived from Google Earth is relatively as acceptable as DEMs from other sources. © Published under licence by IOP Publishing Ltd. 
650 0 4 |a accuracy assessment 
650 0 4 |a ASTER 
650 0 4 |a Comparative assessment 
650 0 4 |a comparative study 
650 0 4 |a data set 
650 0 4 |a digital elevation model 
650 0 4 |a Digital elevation model 
650 0 4 |a Digital instruments 
650 0 4 |a Geomorphology 
650 0 4 |a GIS 
650 0 4 |a Good correlations 
650 0 4 |a Hydrological modelling 
650 0 4 |a Malaysia 
650 0 4 |a Maps 
650 0 4 |a Muar Basin 
650 0 4 |a rural area 
650 0 4 |a Rural watersheds 
650 0 4 |a Shuttle radar topography mission 
650 0 4 |a Shuttle Radar Topography Mission 
650 0 4 |a software 
650 0 4 |a Software testing 
650 0 4 |a Statistical tests 
650 0 4 |a Surveying 
650 0 4 |a Thermal emissions 
650 0 4 |a Tracking radar 
650 0 4 |a watershed 
650 0 4 |a Watershed boundaries 
650 0 4 |a Watersheds 
650 0 4 |a West Malaysia 
700 1 0 |a Din, A.H.M.  |e author 
700 1 0 |a Majid, M.R.  |e author 
700 1 0 |a Rusli, N.  |e author