Role of Remote Sensing and GIS for Sustainable Crop Production Under Climate Change

Abstract

Geospatial techniques are being increasingly used in agriculture to optimize production, manage resources, and mitigate climate change impacts. These techniques include GPS, GIS, and remote sensing, which map and monitor crop growth and yield variability, allowing for more efficient application of inputs like fertilizers, water, and pesticides. They also create models that simulate crop growth under different climate scenarios, allowing farmers to plan for future conditions and adapt their practices accordingly. Geospatial data is used to create detailed maps of soil properties, helping farmers make better decisions about crop selection, planting, and nutrient management. These techniques also help monitor and manage water resources, particularly in areas prone to drought or flooding, by mapping groundwater reserves, analyzing precipitation patterns, and predicting crop water demand. Geospatial data can evaluate climate hazards, guide crop selection and management, and analyze land use patterns, aiding farmers and policymakers in decision-making.