Soil moisture (SM) is a key parameter in micrometeorology, hydrology, and agriculture to estimate energy and moisture fluxes at the land surface and the water within the soil available for agricultural purposes. Observations at L-band (1.2–1.4 GHz) are desirable to estimate SM due to their larger penetration depth. Currently, missions such as the NASA SMAP and the ESA SMOS provide periodically global coverage of brightness temperature (TB) information at L-band. Current satellite SM retrievals from TB observations are supplied at different spatial resolutions and their validation using ground measurements is challenging due to differences in the representativeness between satellite scales and site SM values. Because of the capability of satellites to cover extent areas, their SM products have been a valuable tool to monitor atypical drought conditions due to climate change. Satellite SM retrievals have been challenging in agricultural regions due to high variability of SM and phenological changes in vegetation. Particularly, agricultural areas in arid and semi-arid do not have reliable databases to calibrate SM retrieval algorithms. In this work, we conducted a field experiment and created an SM database that can be used. The database includes data from agricultural areas located in the Central Valleys of Oaxaca, Southern Mexico, during 2021 to 2024. In this study, we aim to compare different existing L-band passive satellite SM products with in-situ measurements from 2021 to 2024 covering different growing seasons in the semi-arid agricultural region. The results show that the products from the SMAP mission provide closer SM estimates to in-situ measurements at 9 and 36 km compared to SM products from other missions.