Geospatial Techniques - Mapping, Monitoring, and Modeling of Cultivable Soil
Shradha Ahluwalia
*
Department of Soil Science, Punjab Agriculture University, Punjab, Ludhiana, India.
Navjot Kaur
Department of Soil Science, Punjab Agriculture University, Punjab, Ludhiana, India.
Akanksha Kumari
Department of Vegetable Science, Punjab Agriculture University, Punjab, Ludhiana, India.
Waghmare Priya Shriram
Department of Agronomy, Punjab Agriculture University, Punjab, Ludhiana, India.
*Author to whom correspondence should be addressed.
Abstract
Cultivable soil is a vital resource for global food security, but its degradation and depletion pose significant threats to sustainable agriculture. Geospatial techniques offer a powerful tool for mapping, monitoring, and modelling cultivable soil, enabling data-driven decision-making for soil conservation and management to ultimately tackle the emerging challenges of cultivable soil that arise with the demands of a growing population, including land marginalisation, soil erosion, nutrient depletion, compaction, and degradation resulting from poor agricultural methods and severe climate change. This paper aims to emphasise the significance of these techniques in comprehending and managing cultivable soils. These technologies improve the accuracy and efficacy of soil evaluations, which are vital for sustainable agriculture operations. This evaluates Geospatial technologies encompass several techniques and methodologies, including remote sensing, Geographic Information Systems (GIS), and spatial modelling, to provide an integrated framework for assessing and forecasting soil cultivability. These techniques facilitate the efficient collection, analysis, and visualisation of spatial data, essential for successful soil management. Modelling cultivable soil incorporates geographical and temporal data to forecast soil behaviour under many environmental conditions. These geographic models simulate moisture dynamics, nutrient cycling, and the impacts of various agricultural techniques. This modelling functions as an essential decision-making tool, allowing stakeholders to evaluate interventions and adapt to the implications of climate change. This paper ultimately advocates for the incorporation of geospatial techniques into soil management policies to foster sustainable agriculture.
Keywords: Sustainable agriculture, managing, remote sensing, Geographic Information Systems (GIS) and modeling