Abstract
Coastal aquaculture plays an important role in the provision of seafood, the sustainable development of regional and global economy, and the protection of coastal ecosystems. Inappropriate planning of disordered and intensive coastal aquaculture may cause serious environmental problems and socioeconomic losses. Precise delineation and classification of different kinds of aquaculture areas are vital for coastal management. It is difficult to extract coastal aquaculture areas using the conventional spectrum, shape, or texture information. Here, we proposed an object-based method combining multi-scale segmentation and object-based neighbor features to delineate existing coastal aquaculture areas. We adopted the multi-scale segmentation to generate semantically meaningful image objects for different land cover classes, and then utilized the object-based neighbor features for classification. Our results show that the proposed approach effectively identified different types of coastal aquaculture areas, with 96% overall accuracy. It also performed much better than other conventional methods (e.g., single-scale based classification with conventional features) with higher classification accuracy. Our results also suggest that the multi-scale segmentation and neighbor features can obviously improve the classification performance for the extraction of cage culture areas and raft culture areas, respectively. Our developed approach lays a solid foundation for intelligent monitoring and management of coastal ecosystems.
Highlights
Marine aquaculture, coastal aquaculture, offers an important potential for food production and the sustained development of many coastal areas, especially in regions with limited land, coastal space, and freshwater resources [1,2]
After a visual inspection on the output image objects, ponds that were expected to be included in the land area are delineated at scales of 100–3000, which can be misclassified as sea area
After a visual inspection on tShuestoaiunatbpiluitty i2m01a9,g1e1,o6b37jects, ponds that were expected to be included in the land area are delineat1e0dofa2t0 scales of 100–3000, which can be misclassified as sea area
Summary
Coastal aquaculture, offers an important potential for food production and the sustained development of many coastal areas, especially in regions with limited land, coastal space, and freshwater resources [1,2]. Inappropriate planning of disordered and intensive coastal aquaculture may cause serious environmental problems and socioeconomic losses. The potential issues include water pollution [3,4], impacts on the surrounding sediment [5], damages to coral reefs, and biodiversity loss in coastal sea areas [6]. From 2000 to 2016, the total production of marine aquaculture has increased from 14.2 to 28.7 million tons [7,8]. China has contributed to more than 50% of global aquaculture production since 1991 [8]. In China, a series of laws and regulations at national or local level, such as the Marine
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