Advancing Soil Quality Assessment: Precision Mapping Through GIS Techniques for Sustainable Land Management
摘要
According to the UN world population prospects 2024, world population will rise to 10.3 billion in the mid-2080s. Increasing population intensifies the demand for land, food and infrastructure, which places significant pressure on soil resources. For sustainable development, it is crucial to maintain the soil quality. A common and easy way to quantify soil quality is to estimate the soil quality indices (SQIs). However, selection of indicators and minimum data set requires comprehensive understanding. In order to determine the areas where soil quality is poor, mapping is important, so that appropriate management practices can be adopted. Conventional mapping involving field sampling and laboratory measurements is limited, costly and time-consuming. With the objective of overpowering these challenges, digital soil mapping technologies have come up as a promising option. Geographical information system (GIS) techniques offer methodologies for spatially characterising soil quality by integrating multiple soil attributes including pH, organic matter content, soil texture, macronutrient levels, erosion susceptibility etc. The collected data are georeferenced and processed in GIS software, and spatial interpolation techniques such as inverse distance weighting and kriging are applied to generate soil quality maps. The GIS platform facilitates the integration of ancillary spatial data sets such as digital elevation models (DEMs), land-cover change data and climatic variables to enhance the interpretation of soil quality dynamics. The resulting soil quality maps identify critical zones requiring targeted management interventions such as the application of soil amendments, erosion control measures and precision farming practices. GIS techniques present a scientifically robust, scalable and cost-efficient solution for soil quality mapping and contribute to sustainable land-use strategies. Thus, this chapter is a comprehension of GIS techniques which present a scientifically robust, scalable and cost-efficient solution for soil quality mapping and contribute to sustainable land-use strategies.