%0 Journal Article
%T Re-Examining Field-Surveyed Variations in Elevation and Soil Properties with a 1-m Resolution LiDAR-Generated DEM
%A Kamille Lemieux
%A Paul A. Arp
%J Open Journal of Soil Science
%P 371-390
%@ 2162-5379
%D 2023
%I Scientific Research Publishing
%R 10.4236/ojss.2023.139017
%X This article
presents a 2017 LiDAR-DEM guided 1-m resolution examination of field-surveyed elevation
and soil property variations (5 กม 5 m spacings) conducted in 1977 across a hummocky
New Brunswick field used for potato production. This examination revealed that the
field incurred minor elevation differences were likely due to upslope erosion, as revealed
through increasing Sand % and CF % with increasing elevation, and increasing Silt
% along low-lying areas. Soil moisture, field capacity, permanent wilting and nitrate
nitrogen (NO<sub>3</sub>-N) also increased at downslope locations. Directly as well
as indirectly, soil pH, ammonium nitrogen (NH<sub>4</sub>-N), Caesium<sup>137</sup> (Cs<sup>137</sup>) and Mehlich-3 extracted Ca, Mg, K, Fe, Mn, Cu, and Zn were likewise
affected by topographic location. Factor analyzing these variables led to: 1) a Soil Loss Factor that captured 24% of the textural
variations; 2) a Soil-Cropping
Factor accounting for 16% of the N, P, K, Ca, Mg, Mn variations; 3) a Soil Organic Matter (SOM) Factor relating 9% of the
in-field variations for SOM, Fe, Zn, Cu to via
organo-metal complexation and low NO<sub>3</sub>-N retention. Many of the topographic variations increased or decreased
with the metric DEM-projected depth-to-water index (DTW) index. This index
was set to 0 along DEM-derived flow channels with minimum upslope flow-accumulation
areas of 0.1, 0.25, 0.5, 1 or 4 ha. Among these, the DTW &gt; 4 ha threshold was
useful for reproducing the textural variations, while the DTW &gt; 0.25 ha threshold
assisted in capturing trends pertaining to moisture retention and elemental concentrations.
%K Field-Elevation Survey
%K LiDAR 1-m DEM
%K Flow Channels
%K Depth-to-Water
%K Soil Properties
%K Factor Analysis
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=128051