AN OBJECT-BASED WORKFLOW DEVELOPED TO EXTRACT AQUACULTURE PONDS FROM AIRBORNE LIDAR DATA: A TEST CASE IN CENTRAL VISAYAS, PHILIPPINES

7 citations as recorded by crossref.

1. The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction J. Zhou et al. 10.3390/fishes7040144
2. Opportunities and Challenges for the Estimation of Aquaculture Production Based on Earth Observation Data M. Ottinger et al. 10.3390/rs10071076
3. Monitoring Spatio-Temporal Variations of Ponds in Typical Rural Area in the Huai River Basin of China Z. Ji et al. 10.3390/rs16010039
4. An Object-Based Approach to Extract Aquaculture Ponds with 10-Meter Resolution Sentinel-2 Images: A Case Study of Wenchang City in Hainan Province Y. Hu et al. 10.3390/rs16071217
5. Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data M. Ottinger et al. 10.3390/rs9050440
6. Extracting Water Surfaces of the Dike-Pond System from High Spatial Resolution Images Using Deep Learning Methods J. Zhou et al. 10.3390/rs17010111
7. Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network J. Qi et al. 10.1109/JSTARS.2025.3561160