Work

Large dataset of soil organic carbon and topographic derivatives

Year: 2022

Type: dataset

Abstract: : The dataset compiles 840 georeferenced SOC measurements over a 26-ha agricultural field located in southern Ontario, Canada with a sampling density of ~32 points per ha. As SOC is influenced by site topography (i.e., slope and landscape position), each point of the database was associated with a wide range of topographic derivatives. The columns include sample ID, SOC measurement, latitude, Longitude, NDVI values, as well as a set of 54 topographic derivatives (i.e., primary and secondary - see metadat.pdf attached file) with a spatial resolution of a 5 m.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.6611474

Authors: Laamrani Ahmed, Voroney Paul, Saurette Daniel, D., Berg Aaron, Blackburn Line, Gillespie Adam, Martin Ralph, C.

Institutions: Université Mohammed VI Polytechnique, University of Guelph

Language: English

Topic: Soil Geostatistics and Mapping

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Life on land

Open Access status: green

OpenAlex ID: W4393514841

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Related to: 10