Spatio-temporal patterns and sustainable development of coastal aquaculture in Hainan Island, China: 30 Years of evidence from remote sensing

Fu, Tianmeng; Zhang, Li; Yuan, Xin; Chen, Bo-Wei; Yan, Min

doi:10.1016/j.ocecoaman.2021.105897

Cited by 22 publications

(7 citation statements)

References 31 publications

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“…When all the values in the GLCM are equal or reach maximum randomness, the GLCM entropy is high. We create three methods with reference to existing studies of pond extraction [3,20,[31][32][33][34]. Method A uses an NDWI rule to extract water bodies, including dike-ponds, then uses shape rules (the shape index is the standardized ratio of the perimeter to the area of the object, rectangular fitting compares the area of the object to the area of the oriented bounding box enclosing the object) to exclude rivers, then NIR and GLCM rules to exclude lakes and other water bodies (Figure 3a).…”

Section: Rule-based Methodsmentioning

confidence: 99%

“…Remote sensing is also applicated to identify fish distributions and abundance by satellite data-based sea surface temperature and chlorophyll-a anomalies, indicating the contribution of remote sensing to fisheries management and conservation [18]. Other applications monitor the temporal and spatial changes of fishery resources [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…After an image is segmented into groups of neighboring homogeneous pixels (object) [16,23,[28][29][30], a series of spectral, textural, and spatial rules are applied to identify dike-pond objects. Previous studies mainly employed rules of near-infrared (NIR) [31,32] and normalized difference water index (NDWI) [20,21,33,34]. Since these classification rules can be flexibly set and combined, in recent years, some studies have used this method to extract aquaculture ponds with Google Earth Engine expeditiously [3].…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

Zhou

et al. 2022

Fishes

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Dike-ponds in fisheries often present multiple pond conditions such as pure, suspended sediment, water bloom, semidry conditions, etc. However, the impact of these conditions on the performance of extracting dike-pond from remote sensing images has not been studied. To solve this problem, we explore the existence of such impacts by comparing the performance of four rule-based methods in two groups of test regions. The first group has few multiple pond conditions, while the second has more. The results show that various measure values deteriorate as the proportion of multiple pond conditions in the regions increases. All four methods performed worse in the second group than the first, where the overall accuracy decreased by 8.80%, misclassification error increased by 3.69%, omission error raised by 10.53%, and correct quantity rate dropped by 8.23%, respectively. The extraction method that ingested multiple pond conditions performed indistinguishably from the other methods in the first group. However, it outperformed the other methods in the second group, with a 4.22% improvement in overall accuracy, a 10.25% decrease in misclassification error, and a 19.03% increase in the correct quantity rate. These findings suggest that multiple pond conditions can negatively impact the extraction performance and should be considered in dike-pond applications that require a precise pond size, number, and shape.

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Section: Rule-based Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

Zhou

et al. 2022

Fishes

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“…The initial application of the method involved the extraction of land targets, namely the utilization of the normalized difference vegetation index (NDVI) to assess crop growth and nutrient levels, as well as the use of the normalized difference water index (NDWI) for the identification of river regions [47]. By utilizing the aforementioned characteristic indices as benchmarks and incorporating the distinctive spectral data of fishery establishments, we choose to employ ratio indices from various sensitivity bands to delineate the fishery areas of coastal facilities [27,34]. method takes into account several factors such as the target's structure and texture, and the association between neighboring image elements, which involves the transformation of individual image elements into image objects, incorporating spatial information about these objects as well as their semantic characteristics [46].…”

Section: Pbia/obia Classificationmentioning

confidence: 99%

Review of the Accuracy of Satellite Remote Sensing Techniques in Identifying Coastal Aquaculture Facilities

Chen,

Lv,

Zhang

et al. 2024

Fishes

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The predominant form of aquaculture is the facility fishery, which is also subject to significant impacts from marine disasters. Conducting research on the extraction of facility fishery areas based on remote sensing technology is crucial to efficiently comprehending the configuration of coastal culture patterns and to establishing scientifically sound plans for managing and administering these areas. The extensive dispersion of facility fishery areas in coastal regions poses a challenge to the conduction of comprehensive field surveys. The utilization of satellite remote sensing images for information extraction has emerged as a significant area of research in the fields of coastal fishery and ecological environment. This study provides a systematic description of the current research status of coastal fishery area extraction methods using remote sensing technology from 2000 to 2022 reported in the literature. The methods discussed include the visual interpretation method, image element-based classification, object-based classification, supervised classification, unsupervised classification, and neural network classification. The extraction accuracy of each method in the coastal facility fishery area is evaluated, and the advantages and disadvantages of these methods, as well as their limitations and existing problems, are analyzed in detail, to construct a reference framework for the investigation of the high-precision extraction of facility fishery areas from satellite remote sensing images.

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“…The Hainan Island (18°09'-20°10'N and 108°37'-111°03'E), which is located in southern China and has a coastline of 1944 km (Fu et al, 2021), has a tropical monsoon climate and is the main densely populated area of the Hainan Province of China (Figure 1A). The eastern coast of the Hainan Island is strongly affected by the QDU during summer (Jing et al, 2009).…”

Section: Study Areamentioning

confidence: 99%

The impact of coastal upwelling on coral reef ecosystem under anthropogenic influence: Coral reef community and its response to environmental factors

Zhu

Ren²,

Liu

et al. 2022

Front. Mar. Sci.

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Mass coral bleaching is a severe threat to coral reefs in the era of global warming, and upwelling areas may serve as thermal refugia for coral reefs by mitigating the effects of heating anomalies. This study seeks to examine the impact of the Qiongdong upwelling (QDU) on the coastal coral reefs of the Hainan Island. The environmental variables (i.e., physiochemical parameters, coastal land use) differed significantly in upwelling and non-upwelling areas. In particular, the presence of colder and more saline water was the important indicator of coastal upwelling. In the QDU, turf algae and macroalgae dominated the algae communities, but habitat-specific environment and coastal development contributed to lower calcified algae, coral larvae replenishment and live corals cover. Lower abundance of coral reefs fishes could be attributed to the disappearance of live corals, increase of algae coverage, low habitat complexity and strong wave exposure at upwelling stations. Upwelling-related environmental parameters, wave exposure, land use and potential local stressors were revealed as major driving factors related to significant spatial changes in stony coral and fish communities. Overall, the present findings suggest that the Qiongdong upwelling has the potential to provide thermal refuge for coral reefs, but is severely affected by local anthropogenic activities.

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Spatio-temporal patterns and sustainable development of coastal aquaculture in Hainan Island, China: 30 Years of evidence from remote sensing

Cited by 22 publications

References 31 publications

The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

The Impact of Multiple Pond Conditions on the Performance of Dike-Pond Extraction

Review of the Accuracy of Satellite Remote Sensing Techniques in Identifying Coastal Aquaculture Facilities

The impact of coastal upwelling on coral reef ecosystem under anthropogenic influence: Coral reef community and its response to environmental factors

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