ANALYSIS AND BIAS IMPROVEMENT OF HEIGHT MODELS BASED ON SATELLITE IMAGES

Abstract. Height models are a fundamental part of the geo-information required for various applications. The determination height by aerial photogrammetry, LiDAR or space images is time-consuming and expensive. For with large area coverage, UAVs not economic. freely available ASTER GDEM-3, SRTM, AW3D30 TDM90 can meet requirements.With exception ASTER-GDEM-3, which cannot compete other, digital surface analyzed in detail accuracy morphology 4 test sites using reference DTMs. figures root mean square error, standard deviation, NMAD LE90 compared as well dependence on terrain inclination. analysis uses layer open areas, excluding forest settlement areas. Remaining elements that do belong to DTM filtered. Particular attention paid systematic errors. InSAR SRTM have some morphological restrictions mountain Even so, direct sensor orientation better than other. Optimal results terms were achieved corrected local absolute level. This correction reduces bias also tilt DTM.