Lowland rice cultivation is the main source of staple food for the Philippines1. It is mainly found in floodplains where prolonged and deep floods are commonly experienced, destroying crops and affecting rice farmersʼ productivity. This study demonstrates the use of Light Detection and Ranging (LiDAR) technology for producing detailed flood inundation maps for optimal rice varietal cultivation and how these maps can assist flood prevention and agricultural adaptation. Four zones were proposed. The flood-tolerant varieties and those that are tolerant to stagnant flooding are highly recommended in Zone 1 where both depth and duration exceed the threshold values set in this study, meaning flood conditions are least favourable for any existing traditional lowland irrigation varieties. The study emphasizes that a decline in yield will be possible as cultivation areas for traditional irrigated lowland varieties may decrease over time due to increasing flood extents and longer submergence periods. This decrease in yield may be prevented by growing varieties most suitable to the environment as prescribed in the rice zone classification. More than one of the flooding conditions can ensue in any particular flood-prone environment, which makes it is desirable to develop rice varieties that possess a combination of tolerance traits for flood-prone areas. Apalit is naturally lowland but the need for medium to deepwater rice varieties might potentially thrive for any flood scenario as some parts of the municipality already suffer stagnant inundation of at least a month during excessive rainfall events.