Advancing Flood Detection And Mapping -

A Review Of Earth Observation Services, 3D Data Integration, And AI-Based Techniques

https://doi.org/10.3390/rs17172943 <-- shared paper

—

^^^^ shared @NASA #ARSET #tutorial / overview video (1 of 2)

—

^^^^ shared @NASA #ARSET #tutorial / overview video (2 of 2)

—

[this post should not be considered an endorsement of a particular organisation, approach, etc]

“Can we truly understand a flood… from space?

When floods occur, decisions must be taken fast. Identifying flooded areas is essential, but understanding water depth and its impact on people and cities makes the real difference.

Today, satellite technologies allow us to map floods almost in real time, even under clouds or at night. However, most of these observations remain two-dimensional: they capture the extent of water but often miss the third dimension: depth.

This is where the challenge (and opportunity) lies.

We can move beyond simple flood mapping by bringing together:

🛰️ Earth Observation data

🗺️ 3D terrain information

🤖 Artificial Intelligence

This integration enables a deeper and more dynamic understanding of floods - delivering insights that are faster, more precise, and actionable for both emergency response and long-term planning.

Still, important gaps remain, from data availability to model reliability across different contexts, and the need to better handle uncertainty.

These challenges and opportunities are at the core of this paper… which reviews how EO, 3D data, and AI are converging to advance flood detection and mapping.

#review #EarthObservation #FloodMapping #RemoteSensing #AI #Geospatial #DisasterRisk #ClimateChange #flood #flooding #satellite #model #modeling #depth #volume #risk #hazard #evaluation #GIS #spatial #mapping #detection #3D #terrain #elevation #landscape #hydrogeomorphology #integration #satellite #emergency #response #planning #management #extremeweather #DisasterRisk #ClimateChange #GIS #spatial #mapping

@Space It Up