Plant productivity in coastal and inland wetlands contributes to important ecosystem services, such as habitat provisioning for wildlife, surface water denitrification, and plant-mediated carbon sequestration for mitigation of climate warming. Understanding water-driven dynamics in belowground plant production is especially important, because belowground production increases soil accretion and C stabilization. Water is an important driver of productivity, and hence resiliency, because high water-tables reduce oxygen available to plant roots and impact growth. Thus, spatiotemporal patterns in flooding and belowground biomass might serve as a proxy for marsh resiliency, ecosystem function, and carbon sequestration potential. Novel remote sensing models can help track pattern and process in belowground dynamics in wetland landscapes, through an understanding of plant growth and remote sensing derived biophysical proxies. This talk presents progress made so far in open-science remote sensing analytics for understanding water and carbon dynamics across inland and coastal wetland dominated landscapes.