Soil moisture is crucial for monitoring droughts, but measuring it is difficult. Scientists used a model to estimate soil moisture in Spain and Portugal. They compared two ways to figure out how much water the soil can hold: using soil maps or a machine learning method called random forests. The random forest model was better at estimating low soil moisture levels. This means that this approach can help predict soil moisture and monitor droughts in places without detailed soil maps.