THE DIGITAL ELEVATION MODEL INTERCOMPARISON EXPERIMENT DEMIX, A COMMUNITY-BASED APPROACH AT GLOBAL DEM BENCHMARKING

European Space Agency ◽

Mountain Area ◽

Synthetic Aperture Radar Data ◽

Radar Images ◽

Digital Elevation ◽

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.

Assessment of ASTER global digital elevation model data for Arctic research

Polar Record ◽

10.1017/s0032247411000325 ◽

2011 ◽

Vol 48 (1) ◽

pp. 31-39 ◽

Cited By ~ 7

Author(s):

W. G. Rees

Keyword(s):

Digital Elevation Model ◽

Thermal Emission ◽

Sampling Interval ◽

Horizontal Resolution ◽

The Arctic ◽

Semivariogram Analysis ◽

Digital Elevation ◽

Elevation Data ◽

ABSTRACTA new source of digital elevation data, the advanced spaceborne thermal emission and reflection radiometer (ASTER) global digital elevation model (GDEM), has been freely available since 2009. It provides enormously greater coverage of the Arctic than previous satellite derived ‘global’ digital elevation models, extending to a latitude of 83 °N in contrast to 60 °N. The GDEM is described as a preliminary, research grade product. This paper investigates its accuracy in a number of specifically Arctic landscapes, including ice and snow, boreal forest, tundra and unvegetated terrain, using test sites in Svalbard, Iceland, Norway and Russia. Semivariogram analysis is used to characterise the magnitude and spatial correlation of errors in the GDEM products from the test sites. The analysis suggests that the horizontal resolution of the GDEM data is around 130 m, somewhat coarser than the sampling interval of 1 second of latitude and longitude. The vertical accuracy is variable, and the factors influencing it have not been systematically explored. However, it appears that the likely accuracy can be estimated from ‘stacking number’ data supplied with the elevation data. The stacking number is the number of independent digital elevation models averaged to generate the supplied product. Provided that this number is greater than around 6 the data have an rms accuracy of typically 5–10 m.

Uso de Modelo Digital de Elevação Gerados a partir do ASTER GDEM e SRTM para Caracterização da Rede de Drenagem do Município de Renascença no Sudoeste do Estado do Paraná (Use of Digital Elevation Model Generated from the SRTM and ASTER GDEM for...)

Revista Brasileira de Geografia Física ◽

10.26848/rbgf.v4i2.232705 ◽

2011 ◽

Vol 4 (2) ◽

pp. 365 ◽

Cited By ~ 1

Author(s):

Julio Caetano Tomazoni ◽

Elisete Guimarães ◽

Tayoná Cristina Gomes ◽

Taisller Guimarães da Silva

Keyword(s):

Digital Elevation Model ◽

Drainage System ◽

Drainage Network ◽

Aster Data ◽

Aster Gdem ◽

Drainage Networks ◽

Digital Elevation ◽

Elevation Model ◽

Spot 5

Este trabalho avalia a adequação do uso de modelos digitais de elevação, provenientes da manipulação de dados altimétricos da missão SRTM e do instrumento imageador ASTER, para atualização de mapas da rede de drenagem do município de Renascença PR. Para caracterização da rede de drenagem a partir de dados SRTM e ASTER utilizou-se o software SPRING 5.1.7. A rede hidrográfica, obtida por esses dois métodos foi cruzada com a malha hidrográfica extraída de cartas geográficas do exército e imagens ortorretificadas do satélite SPOT 5. Os resultados demonstram que a rede de drenagem, obtida a partir de dados SRTM e ASTER, não é satisfatória por não determinar a grande maioria dos cursos d’água de primeira e segunda ordens. Já os de terceira, quarta e quinta ordens, que são identificados, na grande maioria estão localizados fora do curso real encontrados pelas cartas do exército e imagens ortorretificadas. Os dados demonstram que a vegetação das matas ciliares são captadas pelo SRTM e ASTER e interferem nas variações de altitude e por conseguinte no mau delineamento das redes de drenagem.Palavras chaves – Rede de drenagem; hidrografia; modelos digitais de elevação; SRTM, ASTER. Use of Digital Elevation Model Generated from the SRTM and ASTER GDEM for Characterization of Drainage ABSTRACTThis paper assesses the suitability of using digital elevation models, resulting from manipulation of altimetric mission SRTM and ASTER instrument, to update maps of the drainage network in the municipality of Renaissance PR. To characterize the drainage network from SRTM and ASTER data used the software SPRING 5.1.7. The hydrographic network, obtained by these two methods was crossed with a mesh extracted from hydrographic maps of the army and orthorectified images of the SPOT 5 satellite. The results show that the drainage system, derived from SRTM and ASTER data is not satisfactory because they do not determine the vast majority of streams of first and second orders. Already the third, fourth and fifth orders, which are identified in the vast majority are located outside the actual course of the letters found by the army and orthorectified images. The data show that the riparian vegetation are acquired by SRTM and ASTER and interfere with the variations in altitude and therefore the bad design of drainage networks. Keywords - Drainage network; hydrography; digital elevation models; SRTM; ASTER GDEM.

Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models

Open-File Report ◽

10.3133/ofr20191016 ◽

2019 ◽

Author(s):

Cynthia Miller-Corbett

Keyword(s):

Gulf Of Mexico ◽

Digital Elevation Model ◽

3 Dimensional ◽

Northern Gulf Of Mexico ◽

Digital Elevation ◽

A Comparative Study of Three Non-Geostatistical Methods for Optimising Digital Elevation Model Interpolation

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi7080300 ◽

2018 ◽

Vol 7 (8) ◽

pp. 300 ◽

Cited By ~ 15

Author(s):

Serajis Salekin ◽

Jack Burgess ◽

Justin Morgenroth ◽

Euan Mason ◽

Dean Meason

Keyword(s):

Digital Elevation Model ◽

Spatial Resolution ◽

Laser Scanning ◽

Interpolation Method ◽

Global Navigation Satellite Systems ◽

Digital Elevation ◽

Dem Accuracy ◽

Elevation Model ◽

Gnss Data

It is common to generate digital elevation models (DEMs) from aerial laser scanning (ALS) data. However, cost and lack of knowledge may preclude its use. In contrast, global navigation satellite systems (GNSS) are seldom used to collect and generate DEMs. These receivers have the potential to be considered as data sources for DEM interpolation, as they can be inexpensive, easy to use, and mobile. The data interpolation method and spatial resolution from this method needs to be optimised to create accurate DEMs. Moreover, the density of GNSS data is likely to affect DEM accuracy. This study investigates three different deterministic approaches, in combination with spatial resolution and data thinning, to determine their combined effects on DEM accuracy. Digital elevation models were interpolated, with resolutions ranging from 0.5 m to 10 m using natural neighbour (NaN), topo to raster (ANUDEM), and inverse distance weighted (IDW) methods. The GNSS data were thinned by 25% (0.389 points m−2), 50% (0.259 points m−2), and 75% (0.129 points m−2) and resulting DEMs were contrast against a DEM interpolated from unthinned data (0.519 points m−2). Digital elevation model accuracy was measured by root mean square error (RMSE) and mean absolute error (MAE). It was found that the highest resolution, 0.5 m, produced the lowest errors in resulting DEMs (RMSE = 0.428 m, MAE = 0.274 m). The ANUDEM method yielded the greatest DEM accuracy from a quantitative perspective (RMSE = 0.305 m and MAE = 0.197 m); however, NaN produced a more visually appealing surface. In all the assessments, IDW showed the lowest accuracy. Thinning the input data by 25% and even 50% had relatively little impact on DEM quality; however, accuracy decreased markedly at 75% thinning (0.129 points m−2). This study showed that, in a time where ALS is commonly used to generate DEMs, GNSS-surveyed data can be used to create accurate DEMs. This study confirmed the need for optimization to choose the appropriate interpolation method and spatial resolution in order to produce a reliable DEM.

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

EVALUATION DIGITAL ELEVATION MODEL GENERATED BY SYNTHETIC APERTURE RADAR DATA

10.5194/isprsarchives-xli-b1-57-2016 ◽

2016 ◽

Vol XLI-B1 ◽

pp. 57-62

Author(s):

H. B. Makineci ◽

H. Karabörk

Keyword(s):

Remote Sensing ◽

Digital Elevation Model ◽

Interpolation Method ◽

European Space Agency ◽

Mountain Area ◽

Synthetic Aperture Radar Data ◽

Radar Images ◽

Digital Elevation ◽

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.

Accuracy Assessment of Open Source Digital Elevation Models

Journal of University of Babylon for Engineering Sciences ◽

10.29196/jub.v26i3.601 ◽

2018 ◽

Vol 26 (3) ◽

pp. 23-33

Author(s):

Aqeel Abboud Abdul Hassan

Keyword(s):

Open Source ◽

Digital Elevation Model ◽

Laser Scanning ◽

Accuracy Assessment ◽

Statistical Tests ◽

Three Dimensional ◽

Digital Elevation ◽

And Performance ◽

Digital Elevation Model is a three-dimensional representation of the earth's surface, which is essential for Geoscience and hydrological implementations. DEM can be created utilizing Photogrammetry techniques, radar interferometry, laser scanning and land surveying. There are some world agencies provide open source digital elevation models which are freely available for all users, such as the National Aeronautics and Space Administration (NASA), Japan Aerospace Exploration Agency’s (JAXA) and others. ALOS, SRTM and ASTER are satellite based DEMs which are open source products. The technologies that are used for obtaining raw data and the methods used for its processing and on the other hand the characteristics of natural land and land cover type, these and other factors are the cause of implied errors produced in the digital elevation model which can't be avoided. In this paper, ground control points observed by the differential global positioning system DGPS were used to compare the validation and performance of different satellite based digital elevation models. For validation, standard statistical tests were applied such as Mean Error (ME) and Root Mean Square Error (RMSE) which showed ALOS DEM had ME and RMSE are -1.262m and 1.988m, while SRTM DEM had ME of -0.782m with RMSE of 2.276m and ASTER DEM had 4.437m and 6.241m, respectively. These outcomes can be very helpful for analysts utilizing such models in different areas of work.

HYPSO: a new multiresolution global raster digital elevation model for small-scale terrain mapping

10.5194/egusphere-egu21-14468 ◽

2021 ◽

Author(s):

Timofey Samsonov

Keyword(s):

Digital Elevation Model ◽

Small Scale ◽

Russian Science ◽

Levels Of Detail ◽

Digital Elevation ◽

Elevation Data ◽

Data Source ◽

Elevation Model ◽

Terrain Features

During the last decade a significant progress in methods and techniques of elevation data acquisition has been achieved. With lidar-derived digital elevation models it is now possible to investigate landforms with precision and detail which was never possible before. The resolution of global and continental elevation models is approaching first meters, which enables detailed geomorphometric analysis and mapping in wide spatial extents. At the same time, Earth scientists are interested not only in learning the properties of small landforms, but also in investigating the large regional terrain features, as well as hierarchical properties of terrain structure. For this, small details must be omitted from digital elevation model, and the analyzed dataset is expected to have coarser resolution. Currently available coarse-resolution global digital elevation models such as GMTED2010, GEBCO_2019 and ETOPO1 are characterized by spatial resolution ranging from 7.5&#8221; to 1&#8217;, which is approximately equal to cell size of 250-2000 m on the equator. Such resolution fits well into the small-scale mapping and analysis context. However, these models have excessive level of detail in relation to their resolution, which is a consequence of the method of their derivation &#8212; mainly aggregation and resampling of more detailed data. As a result, terrain maps created using these models, are characterized by lack of generalization, which prevents realistic portray of large terrain forms. To solve the problem, the new high-quality mutiresolution digital elevation model HYPSO has been developed. HYPSO is derived based on GEBCO_2019 model (15&#8221; resolution) using the structural generalization, during which the less detailed terrain surface is reconstructed from characteristic stream and watershed lines. HYPSO includes eight levels of detail (LoDs) with resolutions 30&#8221;, 1&#8217;, 2&#8217;, 4&#8217;, 8&#8217;, 16&#8217;, 32&#8217; and 64&#8217; which are suitable for mapping any region on the Earth including the seabed at scales 1:1 000&#160;000 and smaller. The sequence of LoDs is characterized by sequential decrease in detail, which enables production of multiscale maps. Additionally, HYPSO is spatially conflated with river/lake centerlines in popular Natural Earth cartographic database and can be used as a background terrain layer in production of general geographic (base) maps. While the primary purpose of HYPSO is hypsometric mapping, it is also suitable as a data source for performing the geomorphometric analysis aimed at investigating the properties of large terrain landforms, which is demonstrated on several examples.The study was supported by the Russian Science Foundation grant No. 19-77-10071

Evaluation of the Data Quality of Digital Elevation Models in the Context of Inspire / Hodnotenie Kvality Digitálnych Výškových Modelov V Kontexte Inspire

GeoScience Engineering ◽

10.2478/gse-2014-0053 ◽

2013 ◽

Vol 59 (2) ◽

pp. 9-24 ◽

Cited By ~ 1

Keyword(s):

Data Quality ◽

Quality Assessment ◽

Digital Elevation Model ◽

Slovak Republic ◽

Geographic Information ◽

Digital Elevation ◽

The Family ◽

Abstract The contribution deals with the evaluation of the quality of geographic information in accordance with the ISO standards from the family of ISO 19100. The quality assessment was carried out on a sample of the data of the digital elevation model of the Slovak republic - DMR3. The selected data quality elements and sub-elements were evaluated using measures defined in the INSPIRE data specification for Elevation.