期刊
WATER
卷 14, 期 7, 页码 -出版社
MDPI
DOI: 10.3390/w14071158
关键词
soil properties; precision agriculture; sustainable development; remote sensing; agricultural geophysics; numerical approaches
资金
- College of Petroleum Engineering and Geosciences
- Interdisciplinary Research Center for Membranes andWater Security, King Fahd University of Petroleum and Minerals, Saudi Arabia
Sustainable agriculture management requires detailed characterization of soil properties, which can be done efficiently and non-invasively using remote sensing and geophysical surveys. These methods can support soil modeling and the study of soil-water interactions.
Sustainable agriculture management typically requires detailed characterization of physical, chemical, and biological aspects of soil properties. These properties are essential for agriculture and should be determined before any decision for crop type selection and cultivation practices. Moreover, the implementation of soil characterization at the beginning could avoid unsustainable soil management that might lead to gradual soil degradation. This is the only way to develop appropriate agricultural practices that will ensure the necessary soil treatment in an accurate and targeted way. Remote sensing and geophysical surveys have great opportunities to characterize agronomic soil attributes non-invasively and efficiently from point to field scale. Remote sensing can provide information about the soil surface (or even a few centimeters below), while near-surface geophysics can characterize the subsoil. Results from the methods mentioned above can be used as an input model for soil and/or soil/water interaction modeling. The soil modeling can offer a better explanation of complex physicochemical processes in the vadose zone. Considering their potential to support sustainable agriculture in the future, this paper aims to explore different methods and approaches, such as the applications of remote sensing, geophysics, and modeling in soil studies.
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