Agricultural drought periods are a phenomenon that affect crops production and health of ecosystems thereby economies suffer continuous imbalances. For this reason, scientific communities have been focused on accuracy global prediction and mitigation risk models. These models are fed with increasingly enhanced inputs such as TB, therefore the need arises to evaluate inputs. This work presents the relationship between Microwave Polarization Difference Index (MPDI) and Soil Water Deficit Index (SWDI), using TB at 9km of SMAP mission to identify drought periods over a rainfed agricultural area in Huamantla (Tlaxcala State in Central Mexico).
|Number of pages||4|
|State||Published - 2021|
|Event||2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium|
Duration: 12 Jul 2021 → 16 Jul 2021
|Conference||2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021|
|Period||12/07/21 → 16/07/21|
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