Ca Mau is a province with a large surface coverage of mangrove forests, and a well-developed integrated shrimpmangrove cultivation system, which makes the survey and inventory of mangrove challenging. The objective of this research is to assess the use of an object-based approach on Sentinel-2 satellite images to classify mangrove status and combine with GIS techniques for the quantification of mangrove ratio in shrimp ponds in Dam Doi district, Ca Mau province. Research results showed that 23,876 ponds (63% of the total ponds) have sub-standard mangrove ratio and 13,915 ponds (37% of total pond) have standard mangrove ratio. The results of the accuracy assessment showed that the total accuracy was 81% and the Kappa coefficient was 0.62. Thereby, the research highlights that the use of satellite imagery to assess mangrove ratio of shrimp ponds has a high applicability, which can assist future monitoring of mangrove ratio