Published June 3, 2022
| Version v1
Dataset
Open
Large dataset of soil organic carbon and topographic derivatives
Authors/Creators
- 1. Center for Remote Sensing Applications, Mohammed VI Polytechnic University, BenGuerir, Morocco & Department of Geography, Environment & Geomatics, University of Guelph, Guelph, Ontario, Canada
- 2. School of Environmental Sciences /University of Guelph, Guelph, Ontario, Canada
- 3. Department of Geography, Environment & Geomatics, University of Guelph, Guelph, Ontario, Canada
- 4. Department of Plant Agriculture /University of Guelph, Guelph, Ontario, Canada
Description
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.
Notes
FYI, there is a related manuscript to this dataset and hasn't been published yet. Once the DOI is created we will submit the manuscript to the Earth System Science Data journal. This said the authors kindly request that a moratorium can be put in place and we also request a temporary key to enable us access to the data.
Funding was provided by the Agricultural Greenhouse Gases Program-Agriculture and Agri-Food Canada (AGGP-015) and the Canada First Research Excellence Fund: Food from Thought program of the University of Guelph