ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)

Analsysis of Aster Gdem Elevation Models

Digital elevation models (DEM) are of fundamental importance for remote sensing. With a DEM the three-dimensional positioning, requiring a stereo model can be reduced to a two-dimensional solution just based on a single image. With the free of charge availability of the SRTM-height models, covering the land area from 56° southern up to 60.25° northern latitude a nearly world wide coverage is gi...

Error Estimation of Aster Gdem for Regional Applications - Comparison to Aster Dem and Als Elevation Models

The last 20 years show an enormous resolution improvement of worldwide available Digital Elevation Models. At present, the ASTER Global Digital Elevation Model (GDEM) with a resolution of 30 m shows an evolution from the GTOPO 30 model (1000 m) of the year 1996 and the SRTM model (90 m) of the year 2000. However, little is known about the accuracy of the ASTER GDEM itself and for the official t...

ASTER Global DEM Validation

Validating Global Digital Elevation Models with Degree Confluence Project Information and Aster-dem on Geo Grid

There are two major freely available global digital elevation datasets, known as GTOPO30 and SRTM. To know the accuracies of those data in global scale, relative evaluation of these data and validation with global scale are performed. We compared elevation values of GTOPO30 and SRTM 30 arc second datasets globally and found there are places in the world with more than kilometres differences in ...

Accuracy Enhancement of ASTER Global Digital Elevation Models Using ICESat Data

Global Digital Elevation Models (GDEM) are considered very attractive for current research and application areas due to their free and wide range accessibility. The ASTER Global Digital Elevation Model exhibits the highest spatial resolution data of all global DEMs and it is generated for almost the whole globe. Unfortunately, ASTER GDEM data include many artifacts and height errors that decrea...