Aquaculture Pond Precise Detection and Monitoring for Spacial Planning Using Deep Learning and Remote Sensing
This innovation note outlines an advanced approach for detecting and monitoring aquaculture ponds through deep learning and remote sensing techniques. Utilizing Sentinel-2 satellite imagery, the Normalized Difference Water Index (NDWI), and a combined DeepLabv3 and Random Forest classification model.
Precision Mapping: Harnessing Geographic Coordinates for Effective Identification of Aquaculture Ponds to Enhance Spatial Planning
This innovation note delves into precision mapping techniques to identify and analyze aquaculture ponds through geographic coordinates, facilitating effective marine spatial planning (MSP).