The variability in rice yields due to fluctuating environmental conditions poses a significant challenge for agricultural productivity in Jefferson Davis Parish, Louisiana. This study addressed this problem by conducting a comprehensive geospatial assessment of rice cultivation in the region. The research utilized advanced remote sensing and GIS techniques to evaluate the spatial distribution of critical environmental factors, such as precipitation patterns, soil moisture, and vegetation health, and their influence on rice yields. By analyzing Landsat and spectral indices such as the Normalized Difference Vegetation Index (NDVI), Moisture Stress Index (MSI), and historical climate and agricultural records, the study pinpointed areas within the parish particularly vulnerable to yield variability. Crop yield data from USDA and USA weather data validated the satellite data and provided deeper insights into local farming practices. Employing Pearson’s correlation using R, the study's findings revealed a negative correlation (−0.55) between NDVI and MSI such that a deficit in moisture content will affect the health of the rice farms. The study recommended that decision-makers and stakeholders focus on precision agriculture and sustainable water management practices to enhance resilience and ensure long-term food security in Jefferson Davis Parish.