In this study, digital elevation models (DEMs) derived from AlosPalsar data (Japanese Space Agency—JAXA), Sentinel-1A data, and Envisat ASAR data (European Space Agency—ESA) were compared by using a global navigation satellite system (GNSS). In addition, AW3D30, SRTM, and ASTER GDEM (open-access DEMs) data were also included in the accuracy evaluation. The DEM accuracies were investigated in three different terrain types, namely a plain area, mountainous area and agricultural area, and compared at elevation values on a pixel-based. The accuracy obtained from the ALOS PALSAR satellite data was found to be more reliable for all three terrain types. The standard deviation and root mean square values were calculated and compared to each other. The results of the accuracy assessments showed that the best result for the plain area was obtained with the Sentinel-1A and SRTM data, for the mountainous area was obtained with the SRTM data and for agricultural area was obtained with the ALOS PALSAR and SRTM data.

在这项研究中，通过使用全球导航卫星系统（GNSS）比较了AlosPalsar数据（日本航天局JAXA），Sentinel-1A数据和Envisat ASAR数据（欧洲航天局ESA）得出的数字高程模型（DEM）。 。此外，准确性评估还包括AW3D30，SRTM和ASTER GDEM（开放存取DEM）数据。在三种不同的地形类型（即平原地区，山区和农业地区）中对DEM精度进行了研究，并在基于像素的高程值上进行了比较。发现从ALOS PALSAR卫星数据获得的精度对于所有三种地形类型都更可靠。计算标准偏差和均方根值，并将其相互比较。