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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Multiscale Land Surface Parameters for Europe

Authors: Ho, Yu-Feng; Hengl, Tomislav; Minařík, Robert; Isik, Mustafa Serkan;

Multiscale Land Surface Parameters for Europe

Abstract

General Description The Multiscale Land Surface Parameters for Europe dataset is derived from Global Ensemble DTM. Data is computed using GRASS GIS and SAGA GIS. Original DTM data is in projection EPSG:4326, and reprojects to Equi7 (EPSG:27704), computes the parameters, and eventually reprojects to EPSG:3035. High resolution layers (120m downward in geo-hydrological parameters and 60m downward in others) are computed in tiles. In order to eliminate boundary effects and reprojection resampling, Regional land surface parameters have 3400 pixels overlap and local land surface 100 pixels overlap. Below is the list of land-surface parameters. Local land-surface parameter slope in degree (slope): steepness at each cell hillshade: visualizing of terrain determined by a light source and the slope and aspect of the elevation surface easterness: cosine of aspect northerness: sine of aspect minimum curvature (minic): valleys in negative value and local convex landform in positive value maximum curvature (maxic): ridges in positive values and local concave landform in negative value positive openness (pos.openness): the "dominance" of an elevated location over its surroundings negative openness (neg.openness): the "enclosure" of a lower location by elevated surroundings Regional land-surface parameter sink removal DTM (nosink) flow accumulation (flow.accum): depiction of the flow convergence upslope pixels to downslope pixels geomorphon classes (geomorphon): 9 terrain forms based on the line-of-sight neighbor pixels specific catchment area (spec.catch.area.factor): the total catchment area divided by flow width topographic wetness index (twi): a parameter describing the tendency of a cell to accumulate water slope length and steepness factor (ls.factor): the S-factor measures the effect of slope steepness, and the L-factor defines the impact of slope length. Data Details Time period: January 2000 – December 2022 Type of data: Land surface parameters of geomorphometry How the data was collected or derived: Derived from Global Ensemble DTM in 30m using GRASS GIS and SAGA GIS running in a local HPC. Coordinate reference system: EPSG:3035 Bounding box (Xmin, Ymin, Xmax, Ymax): (900000 899000 7401000 5501000) Spatial resolution: 60m, 120m, 240m, 480m, 960m Image size: 108,350 x 76,700; 54,175 x 38,350; 54,175 x 38,350; 13,544 x 9,588; 6,772 x 4,794 File format: Cloud Optimized Geotiff (COG) format. Support If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: https://github.com/AI4SoilHealth/SoilHealthDataCube/issues Name convention To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are: generic variable name: slope = slope in degree variable procedure combination: edtm = Ensemble digital terrain model Position in the probability distribution / variable type: m = measurement Spatial support: 60m, 120m, 240m, 480m, 960m Depth reference: s = surface Time reference begin time: 20000101 = 2000-01-01 Time reference end time: 20221231 = 2022-12-31 Bounding box: eu = Europe EPSG code: epsg.3035 = EPSG:3035 Version code: v20240528 = 2024-05-28 (creation date)

Keywords

DTM, geomorphometry, hydrology

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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