TerraEx – a GeoWeb app for world-wide content-based search and distribution of elevation and landforms data

Netzel, Paweł; Jasiewicz, Jarosław; Stepinski, T. F.

doi:10.21433/b3110dk1t0vc

Cited by 3 publications

(1 citation statement)

References 4 publications

(4 reference statements)

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“…The TerraEx [24] application, for example, is a freely available, full service web application to locate landscapes that are similar to a user-selected query and doubles as a convenient portal to support the distribution of 3 arc-second DEMs and global maps of geomorphons and terrain relief. Survilla et al [25], on the other hand, have developed a scalable high performance topographic flow direction algorithm which eliminates the bottleneck caused by flow direction, one of the most computationally intensive functions in the current implementation of TauDEM [26].…”

Section: G Adopting New Computational Methodsmentioning

confidence: 99%

Geomorphometry: Today and Tomorrow

Wilson

2018

Preprint

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This paper summarizes the current state-of-the-art in geomorphometry and describes the innovations that are close at hand and will be required to push digital terrain modeling forward in the future. These innovations will draw on concepts and methods from computer science and the spatial sciences and require greater collaboration to produce “actionable” knowledge and outcomes. The key innovations include rediscovering and using what we already know, developing new digital terrain modeling methods, clarifying and strengthening the role of theory, developing high-fidelity DEMs, developing and embracing new visualization methods, adopting new computational approaches, and making better use of provenance, credibility, and application-content knowledge.

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Section: G Adopting New Computational Methodsmentioning

confidence: 99%

Geomorphometry: Today and Tomorrow

Wilson

2018

Preprint

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show abstract

References

2018

Environmental Applications of Digital Terrain Modeling

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Global polygons for terrain classification divided into uniform slopes and basins

Iwahashi

Yamazaki

2022

Prog Earth Planet Sci

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Global terrain classification data have been used for various issues related to topography such as the estimation of soil types and of ground vulnerability to earthquakes and the creation of seismic hazard maps. However, due to the resolution of digital elevation models (DEMs), the terrain classification data from previous studies could not discriminate small landforms such as plains at the bottom of narrow valleys and small rises in plains. Owing to the greater regional variation of small landforms, there is trade-off between DEMs of higher resolution and the creation of global geomorphological legends. To address this problem, we first merged regions with similar topographic characteristics using slope gradients and HAND (height above the nearest drainage) calculated by the 90-m-spatial-resolution DEMs interpolated from the multi-error-removed improved-terrain DEM (MERIT DEM), and united the polygons with the unit catchments of the MERIT-Basins dataset, so that the polygons contain calculated terrain measurements (slope gradient, HAND, surface texture, local convexity, sinks) and noise types as attributes, as well as the ID number of the unit catchment. In addition, we performed k-means clustering on the dataset using slope gradient, HAND, and surface texture, which can be combined with the dataset as a simple terrain classification. The clustering results were prepared in 15 and 40 global uniform clusters and 15 and 40 clusters for each basin to understand the global appearance of the terrain and provide zoning data for regional problem-solving. The 15 clusters were prepared to observe the outline of the terrain without any processing, whereas the 40 clusters were prepared to group and reclassify the polygons to create zoning data for each region. This dataset showed improvements in terms of capturing the small rises in plains compared to the authors' previous global terrain classification data. This dataset can be used as a proxy and is expected to contribute to modeling and estimation in various applications that are known to be related to topography. The datasets of this article are available at [https://gisstar.gsi.go.jp/terrain2021/].

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TerraEx – a GeoWeb app for world-wide content-based search and distribution of elevation and landforms data

Cited by 3 publications

References 4 publications

Geomorphometry: Today and Tomorrow

Geomorphometry: Today and Tomorrow

References

Global polygons for terrain classification divided into uniform slopes and basins

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