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4 results for “topographic wetness index”
A 30m Topographic Wetness Index Dataset for the Continental United States
<p>The topographic wetness index was computed at a 30m resolution for the continental United States. This dataset was computed using the triangular multiple flow direction algorithm for computing upslope areas (see https://doi.org/10.1029/2006WR005128). We used the Shuttle Radar Topography Mission (SRTM; https://doi.org/10.1029/2005RG000183) digital elevation model (DEM) for all computations. This analysis was conducted in the R programming language using the System for Automated Geoscientific Analyses (SAGA; https://doi.org/10.5194/gmd-8-1991-2015) for back end computations. This dataset is in the NAD83(NSRS2007) / Conus Albers projection system, EPSG 5072.</p>
A 5 m topographic wetness index (TWI) across France
<p>The topographic wetness index (TWI) characterizes potential soil wetness as a function of the contributing area and local slope. It was derived from the national airborne DTM (RGE ALTI ®) at 5 m spatial resolution, which is available from the website of the French National Geographic Institute (IGN) (<a href="https://geoservices.ign.fr/">https://geoservices.ign.fr/</a>).</p> <p>Dataset includes:</p> <ul> <li>280 GeoTIFF raster files (TWI_000.tif) projected in the French Lambert-93 system (EPSG code 2154), each file corresponding to a 50 x 50 km tile. The number indicates the tile of interest ;</li> <li>1 vector tile index at Google Earth format (tile_index.kmz) showing the location of each tile. This file has been created to facilitate download layer only on area of interest.</li> </ul> <p>To reduce storage space and download time, each raster file has been packed at 7-Zip freeware format.</p> <p>A complete description of the dataset can be found in Panhelleux, L., Rapinel, S., Lemercier, B., Gayet, G., Hubert-Moy, L., 2023. A 5 m dataset of digital terrain model derivatives across mainland France. Data in Brief 109369. https://doi.org/10.1016/j.dib.2023.109369</p>
Topographic Wetness Index derived for Madagascar
<p>The Topographic Wetness Index (TWI) is a proxy for soil moisture that can be derived from Digital Elevation Models (DEMs). Previously, TWI has been linked to patterns of plant species richness (Sørensen <em>et al</em>., 2006) and biomass (Xu <em>et al.</em>, 2015). TWI also represents the influence of topography, with catenary variation (Sørensen <em>et al</em>., 2006) and other soil properties significant to plants such as the distribution of organic matter (Pei et al., 2010) and soil carbon (Sumfleth and Duttmann, 2008). TWI is a physically-based model of catchment parameters derived from slope that calculates water supply from the contributing hillslope by routing it as drainage down the channel network through all cells in a DEM (Beven and Kirkby, 1979). The TWI quantifies the balance between water accumulation and drainage at a local catchment scale, using the following equation: <em>TWI = ln(upslope area / tan(slope))</em>.</p>
Topographic Wetness Index derived for Africa
<p>The Topographic Wetness Index (TWI) is a proxy for soil moisture that can be derived from Digital Elevation Models (DEMs). Previously, TWI has been linked to patterns of plant species richness (Sørensen <em>et al</em>., 2006) and biomass (Xu <em>et al.</em>, 2015). TWI also represents the influence of topography, with catenary variation (Sørensen <em>et al</em>., 2006) and other soil properties significant to plants such as the distribution of organic matter (Pei et al., 2010) and soil carbon (Sumfleth and Duttmann, 2008). TWI is a physically-based model of catchment parameters derived from slope that calculates water supply from the contributing hillslope by routing it as drainage down the channel network through all cells in a DEM (Beven and Kirkby, 1979). The TWI quantifies the balance between water accumulation and drainage at a local catchment scale, using the following equation: <em>TWI = ln(upslope area / tan(slope))</em>.</p>
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