Synthetic Satellite Observations at C And L Bands for an Agricultural Area in Huamantla, Mexico

An dequate resource management allows for better crop yields. Observing system simulations experiments (OSSE) have recently emerged as a useful tool to evaluate new observing systems before building or implementing them. Once the OSSE is validated, it allows characterizing the scenario and forecasting the behavior of physical variables for specific conditions such as agricultural areas. Satellite observations have shown greater sensitivity to vegetation and soil change according to different studies. Therefore, applying the OSSE methodology to validate satellite observations would be beneficial for our country.The application of this methodology proposes implement an OSSE methodology to monitor agricultural areas in the State of Tlaxcala, Mexico, using active-passive microwave sensors covering different spatial resolutions and different frequencies over an agricultural area in central Mexico. The coupled models used were the Land Surface Process (LSP), τ-ω model and the Water Cloud Model (WCM).When applying this methodology, differences of less than 15 K were observed in the case of the L-band simulations and less than 9 dB in the case of the C-band observations. However, the OSSE methodology showed a good approximation to the behavior of the SMAP and Sentinel-1 observations.