SRTM vs ASTER elevation products. Comparison for two regions in Crete, Greece

Nikolakopoulos, Konstantinos G.; Kamaratakis, E. K.; Chrysoulakis, Nektarios

doi:10.1080/01431160600835853

Cited by 193 publications

(103 citation statements)

References 7 publications

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“…The DEM used in this study was derived from the Shuttle Radar Topography Mission (SRTM), an international project to obtain a DEM for a near-global scale from 56°S to 60°N (Nikolakopoulos et al, 2006;Farr et al, 2007). The spatial resolution of the SRTM data is approximately 90 m in the Loess Plateau but varies according to location.…”

Section: Methodsmentioning

confidence: 99%

Modeling the evolution of loess-covered landforms in the Loess Plateau of China using a DEM of underground bedrock surface

Xiong

Tang

et al. 2014

Geomorphology

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Section: Methodsmentioning

confidence: 99%

Modeling the evolution of loess-covered landforms in the Loess Plateau of China using a DEM of underground bedrock surface

Xiong

Tang

et al. 2014

Geomorphology

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“…The ASTER DEM is available in WGS84 Geoid reference datum, geographic coordinates and one arc-second elevation grid [52]. The ASTER GDEM was chosen over the SRTM GDEM (Shuttle Radar Topography Mission) due to its finer spatial resolution that closely matches that of the geo-referenced Landsat images and at comparable accuracies [53]. The ASTER GDEM has global vertical precision of ±20 m at 95% confidence interval and horizontal precision of ±35 m at 95% confidence interval [54], which was sufficient for this study.…”

Section: Digital Elevation Modelmentioning

confidence: 99%

Tracking Land Use/Land Cover Dynamics in Cloud Prone Areas Using Moderate Resolution Satellite Data: A Case Study in Central Africa

Basnet

Vodacek

2015

Remote Sensing

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Tracking land surface dynamics over cloud prone areas with complex mountainous terrain is an important challenge facing the Earth Science community. One such region is the Lake Kivu region in Central Africa. We developed a processing chain to systematically monitor the spatio-temporal land use/land cover dynamics of this region over the years 1988, 2001, and 2011 using Landsat data, complemented by ancillary data. Topographic compensation was performed on Landsat reflectances to avoid the strong illumination angle impacts and image compositing was used to compensate for frequent cloud cover and thus incomplete annual data availability in the archive. A systematic supervised classification was applied to the composite Landsat imagery to obtain land cover thematic maps with overall accuracies of 90% and higher. Subsequent change analysis between these years found extensive conversions of the natural environment as a result of human related activities. The gross forest cover loss for 1988-2001 and 2001-2011 period was 216.4 and 130.5 thousand hectares, respectively, signifying significant deforestation in the period of civil war and a relatively stable and lower deforestation rate later, possibly due to conservation and reforestation efforts in the region. The other dominant land cover changes in the region were aggressive subsistence farming and urban expansion displacing natural vegetation and arable lands. Despite limited data availability, this study fills the gap of much needed detailed and updated land cover change information for this biologically important region of Central Africa. These multi-temporal datasets will be a valuable baseline for land use managers in the region OPEN ACCESSRemote Sens. 2015, 7 6684 interested in developing ecologically sustainable land management strategies and measuring the impacts of biodiversity conservation efforts.

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“…Both the orthorectified images and DSM have been produced in 2010 and are used as reference data for the present study; data gaps shown in Figure 4 concern classified areas by the Hellenic Military Services. In the absence of LiDAR-based DSM, for the validation of the produced DSM, three different approaches have been selected and used: (a) 188 random check points with elevation data from the reference dataset in of more than 50 m distance from each other (avoiding spatial autocorrelation following a rule of thumb that each point has to be at a distance of 40 times the size of a pixel [17]); (b) four line profiles across different areas, including urban canyons, open spaces, highway, and buildings of different use; and (c) 26 in situ measured points across the project area using Trimble R-10 GNSS units (Sunnyvale, CA, USA) and system corrections via the country ground reference stations of the HEPOS network (Figure 4). These have been measured at pavements corners and on roof corners of buildings but also within street canyons.…”

Section: Data Processing and Analysismentioning

confidence: 99%

Validation of Pleiades Tri-Stereo DSM in Urban Areas

Panagiotakis

Chrysoulakis

Charalampopoulou

et al. 2018

IJGI

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Abstract:We present an accurate digital surface model (DSM) derived from high-resolution Pleiades-1B 0.5 m panchromatic tri-stereo images, covering an area of 400 km 2 over the Athens Metropolitan Area. Remote sensing and photogrammetry tools were applied, resulting in a 1 m × 1 m posting DSM over the study area. The accuracy of the produced DSM was evaluated against measured elevations by a differential Global Positioning System (d-GPS) and a reference DSM provided by the National Cadaster and Mapping Agency S.A. Different combinations of stereo and tri-stereo images were used and tested on the quality of the produced DSM. Results revealed that the DSM produced by the tri-stereo analysis has a root mean square error (RMSE) of 1.17 m in elevation, which lies within the best reported in the literature. On the other hand, DSMs derived by standard analysis of stereo-pairs from the same sensor were found to perform worse. Line profile data showed similar patterns between the reference and produced DSM. Pleiades tri-stereo high-quality DSM products have the necessary accuracy to support applications in the domains of urban planning, including climate change mitigation and adaptation, hydrological modelling, and natural hazards, being an important input for simulation models and morphological analysis at local scales.

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SRTM vs ASTER elevation products. Comparison for two regions in Crete, Greece

Cited by 193 publications

References 7 publications

Modeling the evolution of loess-covered landforms in the Loess Plateau of China using a DEM of underground bedrock surface

Modeling the evolution of loess-covered landforms in the Loess Plateau of China using a DEM of underground bedrock surface

Tracking Land Use/Land Cover Dynamics in Cloud Prone Areas Using Moderate Resolution Satellite Data: A Case Study in Central Africa

Validation of Pleiades Tri-Stereo DSM in Urban Areas

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