Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning

Shrimp farming and exporting is the main income source for southern coastal districts of Mekong Delta. Monitoring these shrimp ponds helpful in identifying losses incurred due to natural calamities like floods, sources water pollution by chemicals used farming, changes area cultivation with an increase demand production. Satellite imagery, which consistent good spatial resolution providing frequent information temporal a better solution monitoring remotely larger extent. The Cai Doi Vam township, Ca Mau Province, Viet Nam, were mapped using DMC-3 (TripleSat) Jilin-1 high-resolution satellite imagery years 2019 2022. 3 m pond extent product showed overall accuracy 87.5%, producer’s 90.91% (errors omission = 11.09%) user’s commission class. It was noted that 66 ha observed be dry 2022, 39 other had been converted into continuous helps achieve sustainable aquaculture acts as crucial input decision makers any interventions.