Soil moisture is an essential parameter for irrigation management, transport of pollutants and estimation of energy, heat and water balances. Soil moisture is one of the most important soil spatial-temporal variables due the highly heterogeneous nature of soils which in turn drive water fluxes, evapotranspiration, air temperature, precipitation and soil erosion. Water table measured are essential, particularly at peatland sited undergoing rehabilitation where a complete understanding of the water cycle is needed. In this context, a demonstration of in-situ LoRaWAN sensor networks is presented. The network has been operating for 24 months at a peatland site (Cavemount Bog, Offaly, Ireland) which is currently undergoing a rehabilitation process through re-wetting. The site uses a suite of sensors for soil moisture and water table measurements (ultrasonic and pressure transducers) for continuous measurement at 8 locations. The analytical performance of the sensors has been determined in the laboratory, through calibrations in liquids of known dielectric permittivity and through field validation via sample collection or time domain-reflectometry instrumentation (TDR). Experiences and recommendations in deploying, maintaining and servicing the sensor networks, data management (cleaning, validation, analysis) will be presented and discussed. Emphasis will be placed on the key learnings to date and the performance of the low-cost sensor networks in terms of collected data. Small scale sensor networks like these are expected to bridge the gap between the low spatial resolution provided by the satellite-derived products and the single point/field measurements. Within the project, the sensor network provides spatial observations to complement existing fixed-point measurements. It enables researchers to investigate SM dynamics at field scale in response to different soil types, soil density, elevation, and land cover.