An Extensive Field-Scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches
<p>Maps showing the location of the study site in (<b>A</b>) southwestern Ontario within (<b>B</b>) the Lake Erie basin. (<b>C</b>) The study site with a topographic overview, where a hillshade raster was used beneath the elevation map to accentuate the topography.</p> "> Figure 2
<p>Map of the investigated site showing the spatial variability of SOC levels. The map was generated at 20-m resolution using a kriging interpolation.</p> ">
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area Specifications and Description
2.2. Experimental Design, Sample Collection and Analysis
2.3. Topographic Derivatives Generation
3. Results
3.1. Summary Statistics of the Topsoil SOC Measurements
3.2. SOC Mapping
4. Discussion of Potential Applications of the Created Database
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Laamrani, A.; Voroney, P.R.; Saurette, D.D.; Berg, A.A.; Blackburn, L.; Gillespie, A.W.; Martin, R.C. An Extensive Field-Scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches. Remote Sens. 2022, 14, 5519. https://doi.org/10.3390/rs14215519
Laamrani A, Voroney PR, Saurette DD, Berg AA, Blackburn L, Gillespie AW, Martin RC. An Extensive Field-Scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches. Remote Sensing. 2022; 14(21):5519. https://doi.org/10.3390/rs14215519
Chicago/Turabian StyleLaamrani, Ahmed, Paul R. Voroney, Daniel D. Saurette, Aaron A. Berg, Line Blackburn, Adam W. Gillespie, and Ralph C. Martin. 2022. "An Extensive Field-Scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches" Remote Sensing 14, no. 21: 5519. https://doi.org/10.3390/rs14215519