Quantitative analysis identifies climate vulnerability and water management strategies in Ceará, suggesting improvements for irrigation planning.
Objective: The objective of this work is to investigate the potential for monitoring the state of Ceará, Brazil, using data related to the region's climatic and environmental conditions. Theoretical Framework: This topic presents concepts related to water management using remote sensing techniques, shifting sustainable and strategic planning for the region. Furthermore, studies on climate vulnerability, efficient water use, and geoprocessing applied to agriculture are highlighted. Method: The methodology used addresses the quantitative and spatial form of climate data on occurrence, maximum and minimum temperatures, soil moisture, surface runoff, water deficit, actual and potential evapotranspiration. The platform used for data processing is Google Earth Engine, which collected 24-year historical series and subsequently classified exclusion areas. Results and Discussion: The work revealed distinct spatial patterns, with emphasis on regions with greater visual orientation. The discussion is based on the estimated spatial values, while reflecting the impacts of the variables of interest on the study area. Research Implications: The practical and theoretical implications of this research provide technical insights for public water use policies and agricultural planning. Furthermore, the study contributes to the advancement of spatial modeling applied to agriculture. Originality/Value: This work contributes to the proposal for an integrated and automatic approach to precision and detailed mapping, with potential for replication in many regions of the semiarid region.
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Paiva et al. (2025) studied this question.