Case Study: Green City Watch detects water bodies with Daffodil Software's AI-enabled geospatial solution

Green City Watch detects surface water bodies with 95% accuracy using Daffodil Software

The urban planning firm Green City Watch, a geospatial AI firm, faced the challenge of identifying and monitoring surface water bodies in Jakarta to combat environmental loss. They partnered with vendor Daffodil Software to leverage its AI Development and Computer Vision services to build a machine learning model for automated detection and analysis.

Daffodil Software implemented a solution using semantic segmentation techniques on satellite imagery to accurately detect water boundaries and measure stress levels. The resulting machine learning model achieved over 90% precision, successfully mapping 30+ cities and training 11 models. This provided municipal planners with near real-time, actionable insights to safeguard urban water bodies.

Green City Watch