###### Abstract
These sensors are geo-localized and monitor the soil water content at different soil depths, providing remote information, and notifying or directly commanding the start of irrigation only where and when it is required [10; 11; 12; 13; 14]. There are several pros and cons to these systems. The pros include reliability, continuous monitoring, and precision. In contrast, the cons are the costs, the risks of damage during field operations, and the practical management [15]. For these last reasons, the installation of a dense sensor network in the field is not always feasible. Given the current levels of satellite images [16], the use of satellite imaging in combination with an on-site monitoring system is under study in both marine and terrestrial environments [17; 18]. A review by [PERSON] et al. (2021) [19] compiles about 50 scientific papers on using space technology for the retrieval of information for irrigation. The techniques consisted of visible and near-infrared sensors (VIS/NIR), microwave (MW), land surface models (LSM), and energy balance models (EBM). The authors gave observations about the advantages and disadvantages of each technique and concluded that the levels of action are very different, as are the capabilities of different satellite installations. In a study conducted in the USA, [PERSON] et al. (2019) [20] studied soil water content (SWC) behavior by integrating information obtained from soil sensors by the Rapid Eye satellite constellation to determine the optimal time and depth of SWC and its relationship to maize grain yield. The study concluded that different sources of information could be combined to obtain more accurate models of soil water content and maize yield at the field level for precision irrigation. In another study performed in Southeastern Canada by [PERSON] et al. (2020) [21], the suitability of multispectral images acquired from Unmanned Aerial Vehicles (UAV-MSI) and Sentinel-2A & 2B satellite platforms was compared with in-situ soil moisture data to estimate irrigation water requirements of field grown tomato crops (_Lycopersicum esculentum_). The researchers stressed the validity of this near real-time approach for supporting precision irrigation and preventing over-irrigation. In any case, the precise determination of the rate of water application by the remote sensing approach requires further study. This is due to the high number of variables in cultivated lands. Soil water retention capacity and water plant requirements vary according to soil type, climate, plant species, and other site-specific factors. A challenging aspect of soil water content detection using satellite technology is related to the condition of no vegetation. In fact, several of the cited scientific papers use satellite systems in the condition of soil vegetation, while no relevant approaches were identified for the condition of bare soils. Knowing the soil water content in the condition of bare ground can be very useful, especially for the success of seed emergence [22; 23]. In this study, three investigation methods for monitoring soil water content were compared in Northern Italy in the Po valley. Two systems are based on proximal sensing and one on remote sensing, based on maps of spectral indices obtained by the Sentinel 2 satellites (A and B). The study aimed to evaluate the correlation between the three investigation techniques and highlight if satellite data obtained from remote sensing may have a high potential for use in water resource management and in no-vegetation conditions. The aim of the study is to determine if satellites are suitable for planning PI in the conditions that are found in Northern Italy.