Modelling and Mapping of Soil Organic Matter in Doukkala Plain, Moroccan Semi-Arid Region
| 1 | Laboratory of Geosciences and Environmental Techniques, Department of Earth Sciences, Faculty of Sciences, Chouaïb Doukkali University, BP 20, 24000 El Jadida, Morocco |
| 2 | Department of Geology, Laboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering”, Faculty of Sciences, Moulay Ismail University, Zitoune, Meknes BP 11201, Morocco |
CORRESPONDING AUTHOR
Sanae Bel-Lahbib
Laboratory of Geosciences and Environmental Techniques, Department of Earth Sciences, Faculty of Sciences, Chouaïb Doukkali University, BP.20, 24000 El Jadida, Morocco
Laboratory of Geosciences and Environmental Techniques, Department of Earth Sciences, Faculty of Sciences, Chouaïb Doukkali University, BP.20, 24000 El Jadida, Morocco
Ecol. Eng. Environ. Technol. 2022; 5:188–197
KEYWORDS
TOPICS
Sustainable developmentEnvironmental monitoringClimate change in the environmentProtection and reclamation of soilsSimulations and computer modeling for the environment
ABSTRACT
The Doukkala plains one of the largest irrigated areas in Morocco with a very important agricultural potential. With the integration of new technologies in agriculture, the plain has been subjected to intensive agriculture which has negative impacts on soil quality especially the soil organic matter loss. Therefore, the objective of this study is to combine remote sensing and modelling for monitoring of organic matter content. The obtained results showed that all the examined models showed satisfactory results in the prediction of organic matter with a coefficient of determination R2 ranging from 0.58 to 0.71 and the Root Mean Square Error (RMSE) varied 0.25 and 0.26%. Based on the findings, we can infer that this approach is both efficient and valid for modelling and mapping soil organic matter and may moreover be applied for other areas with same characteristics.
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