Evaluation Digital Elevation Model Generated by Synthetic Aperture Radar Data

Abstract

ABSTRACT:Digital elevation model, showing the physical and topographical situation of the earth, is defined a tree-dimensional digital model obtained from the elevation of the surface by using of selected an appropriate interpolation method. DEMs are used in many areas such as management of natural resources, engineering and infrastructure projects, disaster and risk analysis, archaeology, security, aviation, forestry, energy, topographic mapping, landslide and flood analysis, Geographic Information Systems (GIS). Digital elevation models, which are the fundamental components of cartography, is calculated by many methods. Digital elevation models can be obtained terrestrial methods or data obtained by digitization of maps by processing the digital platform in general. Today, Digital elevation model data is generated by the processing of stereo optical satellite images, radar images (radargrammetry, interferometry) and lidar data using remote sensing and photogrammetric techniques with the help of improving technology.One of the fundamental components of remote sensing radar technology is very advanced nowadays. In response to this progress it began to be used more frequently in various fields. Determining the shape of topography and creating digital elevation model comes the beginning topics of these areas. It is aimed in this work , the differences of evaluation of quality between Sentinel-1A SAR image ,which is sent by European Space Agency ESA and Interferometry Wide Swath imaging mode and C band type , and DTED-2 (Digital Terrain Elevation Data) and application between them. The application includes RMS static method for detecting precision of data. Results show us to variance of points make a high decrease from mountain area to plane area.

Spatio-temporal Change Detection of Built-Up Areas with Sentinel-1 SAR Data Using Random Forest Classification Arnavutköy Istanbul

“…The defined workflow involves postprocessing, which has many enhancements to an existing technique, and urban extraction based on spatial indices and Gray Level Co-occurrence Matrix (GLCM) textures [24]. As show the reliability of the modified technique, ENVISAT Advanced Synthetic Aperture Radar (ASAR) C-VV data at 30 m resolution were selected over ten metropolitan areas and a rural area from six continents [25]. The results determine that the KTH-Pavia Urban Extractor expertly selects urban areas and small towns from ENVISAT ASAR data.…”

Geographical analysis of forest types based on a digital elevation model generated from synthetic aperture radar

“…The DEM is usually generated from optical stereo image pairs, interferometric SAR images and LiDAR data [1]. In recent years, space SAR interferometry has been increasingly used for a DEM generation [2], because it is has all-day and all-weather working abilities, wide spatial coverage, fine spatial resolution, high measurement precision and makes redundant ground instrumentation [3].…”