Accuracy assessment and comparison of interpolation methods on geoid models

Radanović, Marko; Bašić, Tomislav

doi:10.15292/geodetski-vestnik.2018.01.68-78

Cited by 4 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In all these cases, an alternative remote sensing technology or geospatial technique could be used within a 95% confidence interval without significant changes in the elevation accuracy. Since these findings are in line with other studies, e.g., [23,[57][58][59][60], it can be stated that in specific cases it is possible to replace MLS technology with the less economically demanding ALS technology. This is particularly feasible if there is no need for forest road maps with a high level of detail.…”

Section: Discussionsupporting

confidence: 89%

Elevation Accuracy of Forest Road Maps Derived from Aerial Imaging, Airborne Laser Scanning and Mobile Laser Scanning Data

Kardoš,

Sačkov,

Tomaštík

et al. 2024

Forests

View full text Add to dashboard Cite

Forest road maps are a fundamental source of information for the sustainable management, protection, and public utilization of forests. However, the precision of these maps is crucial to their use. In this context, we assessed and compared the elevation accuracy of terrain on three forest road surfaces (i.e., asphalt, concrete, and stone), which were derived based on data from three remote sensing technologies (i.e., aerial imaging, airborne laser scanning, and mobile laser scanning) using five geospatial techniques (i.e., inverse distance; natural neighbor; and conversion by average, maximal, and minimal elevation value). Specifically, the elevation accuracy was assessed based on 700 points at which elevation was measured in the field, and these elevations were extracted from fifteen derived forest road maps with a resolution of 0.5 m. The highest precision was found on asphalt roads derived from mobile laser scanning data (RMSE from ±0.01 m to ±0.04 m) and airborne laser scanning data (RMSE from ±0.03 m to ±0.04 m). On the other hand, the lowest precision was found on all roads derived from aerial imaging data (RMSE from ±0.11 m to ±0.23 m). Furthermore, we found significant differences in elevation between the measured and derived terrains. However, the differences in elevation between specific techniques, such as inverse distance, natural neighbor, and conversion by average, were mostly random. Moreover, we found that airborne and mobile laser scanning technologies provided terrain on concrete and stone roads with random elevation differences. In these cases, it is possible to replace a specific technique or technology with one that is similar without significantly decreasing the elevation accuracy (α = 0.05).

show abstract

Section: Discussionsupporting

confidence: 89%

Elevation Accuracy of Forest Road Maps Derived from Aerial Imaging, Airborne Laser Scanning and Mobile Laser Scanning Data

Kardoš,

Sačkov,

Tomaštík

et al. 2024

Forests

View full text Add to dashboard Cite

show abstract

Impacts of urban land use on the spatial distribution of groundwater pollution, Harbin City, Northeast China

Jiang

Bian

Wang

2018

Journal of Contaminant Hydrology

View full text Add to dashboard Cite

Accuracy Analysis of Indonesian Geoid Model Based On Grids

Ladivanov

Munthaha

Aryadi

2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Providing geospatial data and information services like the Indonesian geoid model is one of the important things on implementation of The Regulation of Head of the Geospatial Information Agency (BIG) No. 15 of 2013 about Indonesia Geospatial Reference System 2013 (SRGI2013). The geospatial information service requires innovation to fulfill the needs of the user. The provision of Indonesian geoid model with various grid resolutions is one of the forms of renewal that designed to meet the needs of users based on the accuracy level that needed. Each geoid model with a different grid resolution will produce different geometries as well. Therefore, the value of geoid undulation on a certain coordinate will be different according to the grid resolution. Based on that case, this paper will analyze the accuracy of The Indonesian geoid model based on the various grid resolution. Grids resolution that used in this case is 36”, 1’, 2.5’, and 5’. The accuracy of the geoid model is obtained from the standard deviation of the difference between geometric undulation values and gravimetric undulation values in 186 control points. The result of this study shows that Indonesian geoid model with the grid resolution 36”, 1’, 2.5’, and 5’ have the geoid accuracy 5.129 cm, 6.472 cm, 9.584 cm, dan 13.942 cm sequentially. Based on that result, we can conclude that the less grid resolution of geoid model will produce a higher accuracy of the geoid model. In addition, this study could be a consideration for every user to use the Indonesian geoid model based on their need and specification.

show abstract

Accuracy assessment and comparison of interpolation methods on geoid models

Cited by 4 publications

References 16 publications

Elevation Accuracy of Forest Road Maps Derived from Aerial Imaging, Airborne Laser Scanning and Mobile Laser Scanning Data

Elevation Accuracy of Forest Road Maps Derived from Aerial Imaging, Airborne Laser Scanning and Mobile Laser Scanning Data

Impacts of urban land use on the spatial distribution of groundwater pollution, Harbin City, Northeast China

Accuracy Analysis of Indonesian Geoid Model Based On Grids

Contact Info

Product

Resources

About