The need for sustainable farming methods has increased, which has brought attention to the need of soilmanagement plans that make use of Nature-Based Solutions (NBS). An essential component of the successfuldeployment of these techniques is spatial data analysis. The integration of spatial data analysis with soilmanagement is summed up in this publication, with an emphasis on using NBS to improve soil health,productivity, and ecosystem services. Geographic Information Systems (GIS) and remote sensing areexamples of geospatial technologies that can be used to identify locations that are appropriate for differentNBS treatments and to evaluate the spatial variability of soil attributes. The mapping and modelling of soilparameters, which allows for the detection of deterioration trends and the evaluation of the long-termimplications of NBS, are made easier by the spatial data. This analysis provides valuable insights into thespatial distribution of soil health indicators, aiding the development of targeted management practices.
Petris et al. (Fri,) studied this question.