Selection of a Geostatistical Method to Interpolate Soil Properties of the State Crop Testing Fields using Attributes of a Digital Terrain Model

2018 ◽  
Vol 51 (3) ◽  
pp. 255-267 ◽  
Author(s):  
I. A. Sahabiev ◽  
S. S. Ryazanov ◽  
T. G. Kolcova ◽  
B. R. Grigoryan
Keyword(s):  
Soil Properties ◽  
Digital Terrain Model ◽  
The State ◽  
Terrain Model ◽  
Digital Terrain ◽  
Geostatistical Method ◽  
Selection Of

Development of a 3D Viewer for georeferencing and monoplotting of historical terrestrial images.

2020 ◽  
Author(s):  
Sebastian Flöry ◽  
Camillo Ressl ◽  
Gerhard Puercher ◽  
Norbert Pfeifer ◽  
Markus Hollaus ◽  
...  
Keyword(s):  
Digital Terrain Model ◽  
Local Scale ◽  
Aerial Imagery ◽  
Ground Control ◽  
Control Points ◽  
Mountainous Regions ◽  
Terrain Model ◽  
Digital Terrain ◽  
Ground Control Points ◽  
Selection Of

<p>Mountain regions are disproportionately affected by global warming and changing precipitation conditions. Especially the strong variations within high mountain ranges at the local scale require additional sources in order to quantify changes within this challenging environment. With the emergence of alpine tourism, terrestrial photographs became available by the end of 1800, predating aerial imagery for the selected study areas by 50 years. Due to the earlier availability and oblique acquisition geometry these images are a promising source for quantifying changes within mountainous regions at the local scale. Within the research project SEHAG, methods to process these images and to analyse their potential to quantify and describe environmental changes are developed and applied to study areas in Austria and Italy.</p><p>One of the prerequisites for the estimation of changes based on terrestrial imagery is the calculation of the corresponding object point for each pixel in a global coordinate system resulting in a georeferenced orthorectified image. This can be achieved by intersecting the ray defined by the projection center of the camera and each pixel with a digital terrain model, a process known as monoplotting.</p><p>So far 1000 terrestrial images with unknown interior and exterior orientation have been collected from various archives for the selected study areas Kaunertal, Horlachtal (both Tyrol, Austria) and Martelltal (South Tyrol, Italy). In order to estimate all camera parameters a 3D viewer for the selection of ground control points has been developed and implemented. The estimation of the exterior and interior orientation is done in OrientAL. </p><p>Preliminary results for selected images show, that especially the developed 3D viewer is an important improvement for the selection of well distributed ground control points and the accurate estimation of the exterior and interior orientation. Monoplotting depends on a digital terrain model, which cannot be computed from the terrestrial images alone due to missing overlap and different acquisitions times. Hence, the combination with historical digital terrain models derived from aerial imagery is necessary to minimize errors introduced due to changes in topography until today. While the large amount of terrestrial images with their oblique acquisition geometries can be exploited to fill occluded areas by combining the results from multiple images, the partly missing or inaccurate temporal information poses another limitation.</p><p>With this large image collection, for the first time, we are able to evaluate the use of historical oblique terrestrial photographs for change detection in a systematic manner. This will promote knowledge about challenges, limitations and the achievable accuracy of monoplotting within mountainous regions. The work is part of the SEHAG project (project number I 4062) funded by the Austrian Science Fund (FWF).</p>

scholarly journals Pemodelan Permukaan Digital Data Magnetik Survei Geofisika Udara menggunakan Metode Geostatistika untuk Ekplorasi Mineral (Daerah Studi: Wilayah Komopa, Papua)

2018 ◽  
Vol 2017 (2) ◽  
Author(s):  
Hary Nugroho ◽  
Dewi Kania Sari ◽  
Rika Hernawati
Keyword(s):  
Digital Terrain Model ◽  
Geophysical Survey ◽  
Gaussian Kernel ◽  
Magnetic Data ◽  
Disjunctive Kriging ◽  
Terrain Model ◽  
Gaussian Kernels ◽  
Simple Kriging ◽  
Digital Terrain ◽  
Geostatistical Method

ABSTRAKDalam interpretasi data, data hasil survei geofisika udara umumnya perlu diubah menjadi model permukaan digital atau digital terrain model (DTM). Hal ini sebagai langkah untuk memudahkan dalam memahami kondisi data secara keseluruhan. Untuk membuat DTM banyak metode yang dapat diterapkan. Salah satu di antaranya adalah dengan metode Geostatistika Kriging. Penerapan metode Geostatistika Kriging dapat menggunakan berbagai macam teknik di antaranya adalah teknik Simple Kriging dan Disjunctive Kriging. Dalam penelitian ini dilakukan pengolahan DTM untuk data magnetik dengan menggunakan kedua teknik ini dengan aproksimasi Gaussian Kernel dan Density Skew. Wilayah studi pada penelitian ini adalah wilayah Komopa, Kabupaten Painai, Provinsi Papua yang merupakan wilayah Kontrak Karya PT. Freeport Indonesia. Adapun data yang digunakan adalah data hasil survei geofisika udara yang dilakukan pada periode 1983-1984. Hasil pemodelan yang diperoleh dari kedua teknik tersebut selanjutnya dibandingkan dan diperoleh hasil bahwa teknik Disjunctive Kriging dengan aproksimasi Density Skew lebih baik daripada teknik Simple Kriging dengan aproksimasi Gaussian Kernels maupun Density Skew.Kata kunci: survei geofisika udara, magnetik, DTM, geostatistika, krigingABSTRACTIn data interpretation, airborne geophysical survey results generally need to be transformed into a digital terrain model (DTM). This is an effort to facilitate in understanding the condition of the whole of data. To make the DTM, many methods can be applied. One of them is Kriging geostatistical method. Application of Kriging geostatistical method can use various techniques such as Simple Kriging and Disjunctive Kriging technique. In this research DTM processing for magnetic data has been performed by using both of these techniques with Gaussian Kernel and Density Skew approximation. The study area in this study is the area of Komopa, Painai District, Papua Province which is the area of Work Contract of PT. Freeport Indonesia. The data used is the data of airborne geophysical survey conducted in the period 1983-1984. The modelling results from the two techniques were then compared and the results showed that the Disjunctive Kriging technique with Density Skew approximation is better than Simple Kriging techique with Gaussian Kernels and Density Skew approximation.Keywords: airborne geophysical survey, magnetic, DTM, geostatistics, kriging

scholarly journals Soil maps at a scale of 1:5000 as a source of soil databases taking soil variability into consideration: a case study from Czermin commune, S Poland

2019 ◽  
Vol 70 (1) ◽  
pp. 44-53
Author(s):  
Jolanta Kwiatkowska-Malina ◽  
Anna Bielska ◽  
Andrzej Szymon Borkowski
Keyword(s):  
Soil Properties ◽  
Soil Quality ◽  
Digital Terrain Model ◽  
Field Research ◽  
Soil Samples ◽  
Laboratory Research ◽  
Genetic Horizon ◽  
Geostatistical Methods ◽  
Terrain Model ◽  
Digital Terrain

Abstract The analysis of soil spatial property variability (fuzziness) are important for the interpretation of the site-specific ecosystems not only with respect to process investigations but also for soils modelling. The objective of the study was an attempt to identify the primary parameters influencing the spatial variability of soils available without the necessity of carrying out time-consuming and costly field and laboratory research. The research was carried out in the Czermin commune. The research included the application of geostatistical methods and interpretation of source materials, including (i) digital soil-agricultural map, (ii) annex to the soil-agricultural map at a scale of 1:5000, (iii) soil quality contours and (iv) digital terrain model. The verification of field research results (test polygon) involved the performance of vertical transect soil profiles. Genetic horizon patterns and their morphological parameters were determined. Soil samples were collected for laboratory analyses, involving the determination of the basic physical soil properties. The data were analyzed using descriptive statistics and geostatistics. The database based on soil quality contours is more detailed than that based on the soil-agricultural map, because there is no loss of important data concerning the division of land. Obtaining data concerning soil type and/or agricultural usefulness complexes would require conducting a generalisation process. Nearby soil pits from 1974 and new (2015) open pits were located. Soil profile for the open pits from 2015 were described and soil samples were taken for basic physical soil properties.

Selection of Appropriate Scale of Relief Model

2017 ◽  
Author(s):  
Marta Kuzma ◽  
Marcin Lisowski
Keyword(s):  
Large Scale ◽  
Digital Terrain Model ◽  
Terrain Model ◽  
Digital Terrain ◽  
Vertical Scale ◽  
Land Surveying ◽  
Correct Representation ◽  
The Subject ◽  
The One ◽  
Selection Of

This paper presents the application of digital terrain model in developing a relief model. The digital terrain model served as the basis for the relief model. The research has taken into account the subject of combining different data in order to develop a numerical model of the land − surveying, bathymetry, maps. Another issue addressed was the one of vertical scale or exceeding it in the developed model. Its appropriate selection allows the correct representation of the terrain geomorphology. The paper presents research in carrying out relief model of Szczesliwicki Park in Warsaw. The results show the link between the vertical scale or exceeding it and the accuracy (correctness) of relief model in large-scale descriptions. In addition, a verification of models was made with the use of a scanner that uses structural light.

scholarly journals Comparison of methodologies for automatic generation of limits and drainage networks for hidrographic basins

2009 ◽  
Vol 13 (4) ◽  
pp. 369-375 ◽  
Author(s):  
Samantha A. Alcaraz ◽  
Christophe Sannier ◽  
Antonio C. T. Vitorino ◽  
Omar Daniel
Keyword(s):  
Digital Terrain Model ◽  
Automatic Generation ◽  
Geographical Information ◽  
Stream Network ◽  
Terrain Model ◽  
Digital Terrain ◽  
Contour Lines ◽  
Drainage Networks ◽  
Selection Of

The objective of this work was to compare methodologies for the automatic generation of limits and drainage networks, using a geographical information system for basins of low relief variation, such as the Dourados catchment area. Various data/processes were assessed, especially the ArcHydro and AVSWAT interfaces used to process 50 m resolution DTMs formed from the interpolation of digitalized contour lines using ArcInfo, ArcView and Spring GIS, and a 90 m resolution SRTM DTM acquired by interferometry radar. Their accuracy was estimated based upon the pre-processing of small basic sub-basin units of different relief variations, before applying the best combinations to the entire Dourados basin. The accuracy of the automatic stream network generation and watershed delineation depends essentially on the quality of the raw digital terrain model. The selection of the most suitable one then depends completely on the aims of the user and on the work scale.

scholarly journals The Effect of LiDAR Sampling Density on DTM Accuracy for Areas with Heavy Forest Cover

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 265
Author(s):  
Mihnea Cățeanu ◽  
Arcadie Ciubotaru
Keyword(s):  
Forest Cover ◽  
Initial Point ◽  
Ground Surface ◽  
Digital Terrain Model ◽  
Morphological Data ◽  
Sampling Density ◽  
Terrain Model ◽  
Digital Terrain ◽  
Point Density ◽  
The Impact

Laser scanning via LiDAR is a powerful technique for collecting data necessary for Digital Terrain Model (DTM) generation, even in densely forested areas. LiDAR observations located at the ground level can be separated from the initial point cloud and used as input for the generation of a Digital Terrain Model (DTM) via interpolation. This paper proposes a quantitative analysis of the accuracy of DTMs (and derived slope maps) obtained from LiDAR data and is focused on conditions common to most forestry activities (rough, steep terrain with forest cover). Three interpolation algorithms were tested: Inverse Distance Weighted (IDW), Natural Neighbour (NN) and Thin-Plate Spline (TPS). Research was mainly focused on the issue of point data density. To analyze its impact on the quality of ground surface modelling, the density of the filtered data set was artificially lowered (from 0.89 to 0.09 points/m2) by randomly removing point observations in 10% increments. This provides a comprehensive method of evaluating the impact of LiDAR ground point density on DTM accuracy. While the reduction of point density leads to a less accurate DTM in all cases (as expected), the exact pattern varies by algorithm. The accuracy of the LiDAR-derived DTMs is relatively good even when LiDAR sampling density is reduced to 0.40–0.50 points/m2 (50–60 % of the initial point density), as long as a suitable interpolation algorithm is used (as IDW proved to be less resilient to density reductions below approximately 0.60 points/m2). In the case of slope estimation, the pattern is relatively similar, except the difference in accuracy between IDW and the other two algorithms is even more pronounced than in the case of DTM accuracy. Based on this research, we conclude that LiDAR is an adequate method for collecting morphological data necessary for modelling the ground surface, even when the sampling density is significantly reduced.

scholarly journals DTM-based analysis of the spatial distribution of topolineaments

2020 ◽  
Vol 12 (1) ◽  
pp. 1185-1199
Author(s):  
Mirosław Kamiński
Keyword(s):  
Laser Scanning ◽  
Digital Terrain Model ◽  
Research Area ◽  
Tectonic Structures ◽  
Empirical Bayesian ◽  
Scanning Method ◽  
Empirical Bayesian Kriging ◽  
Terrain Model ◽  
Digital Terrain ◽  
Airborne Laser

AbstractThe research area is located on the boundary between two Paleozoic structural units: the Radom–Kraśnik Block and the Mazovian–Lublin Basin in the southeastern Poland. The tectonic structures are separated by the Ursynów–Kazimierz Dolny fault zone. The digital terrain model obtained by the ALS (Airborne Laser Scanning) method was used. Classification and filtration of an elevation point cloud were performed. Then, from the elevation points representing only surfaces, a digital terrain model was generated. The model was used to visually interpret the course of topolineaments and their automatic extraction from DTM. Two topolineament systems, trending NE–SW and NW–SE, were interpreted. Using the kernel density algorithm, topolineament density models were generated. Using the Empirical Bayesian Kriging, a thickness model of quaternary deposits was generated. A relationship was observed between the course of topolineaments and the distribution and thickness of Quaternary formations. The topolineaments were compared with fault directions marked on tectonic maps of the Paleozoic and Mesozoic. Data validation showed consistency between topolineaments and tectonic faults. The obtained results are encouraging for further research.

scholarly journals Production, Validation and Morphometric Analysis of a Digital Terrain Model for Lake Trichonis Using Geospatial Technologies and Hydroacoustics

2021 ◽  
Vol 10 (2) ◽  
pp. 91
Author(s):  
Triantafyllia-Maria Perivolioti ◽  
Antonios Mouratidis ◽  
Dimitrios Terzopoulos ◽  
Panagiotis Kalaitzis ◽  
Dimitrios Ampatzidis ◽  
...  
Keyword(s):  
Morphometric Analysis ◽  
Ad Hoc ◽  
Regional Scale ◽  
Digital Terrain Model ◽  
Relevant Information ◽  
Relative Difference ◽  
Systematic Observation ◽  
Qualitative And Quantitative ◽  
Terrain Model ◽  
Digital Terrain

Covering an area of approximately 97 km2 and with a maximum depth of 58 m, Lake Trichonis is the largest and one of the deepest natural lakes in Greece. As such, it constitutes an important ecosystem and freshwater reserve at the regional scale, whose qualitative and quantitative properties ought to be monitored. Depth is a crucial parameter, as it is involved in both qualitative and quantitative monitoring aspects. Thus, the availability of a bathymetric model and a reliable DTM (Digital Terrain Model) of such an inland water body is imperative for almost any systematic observation scenario or ad hoc measurement endeavor. In this context, the purpose of this study is to produce a DTM from the only official cartographic source of relevant information available (dating back approximately 70 years) and evaluate its performance against new, independent, high-accuracy hydroacoustic recordings. The validation procedure involves the use of echosoundings coupled with GPS, and is followed by the production of a bathymetric model for the assessment of the discrepancies between the DTM and the measurements, along with the relevant morphometric analysis. Both the production and validation of the DTM are conducted in a GIS environment. The results indicate substantial discrepancies between the old DTM and contemporary acoustic data. A significant overall deviation of 3.39 ± 5.26 m in absolute bottom elevation differences and 0.00 ± 7.26 m in relative difference residuals (0.00 ± 2.11 m after 2nd polynomial model corrector surface fit) of the 2019 bathymetric dataset with respect to the ~1950 lake DTM and overall morphometry appear to be associated with a combination of tectonics, subsidence and karstic phenomena in the area. These observations could prove useful for the tectonics, geodynamics and seismicity with respect to the broader Corinth Rift region, as well as for environmental management and technical interventions in and around the lake. This dictates the necessity for new, extensive bathymetric measurements in order to produce an updated DTM of Lake Trichonis, reflecting current conditions and tailored to contemporary accuracy standards and state-of-the-art research in various disciplines in and around the lake.

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