Article
Environmental Sciences
Marco Ottinger, Felix Bachofer, Juliane Huth, Claudia Kuenzer
Summary: Asia dominates the aquaculture sector and contributes to 90% of the world's total annual global production. While aquaculture is important for providing protein source, income, and employment, it has also resulted in environmental degradation. Therefore, the utilization of geospatial information is crucial for managing and sustaining the aquaculture industry for coastal ecosystems, resources, and human health.
Article
Geography, Physical
Yuekai Hu, Bo Tian, Lin Yuan, Xiuzhen Li, Ying Huang, Runhe Shi, Xiaoyi Jiang, Lihua Wang, Chao Sun
Summary: Salt marshes play crucial ecological roles but are facing losses and degradation, this study utilized Sentinel-1 SAR data and knowledge-based classifiers to produce a high-precision map in China coastal zones, proving the effectiveness of SAR data for salt marsh classification, with a total area of 127,477.37 ha predominantly distributed between Shandong and Zhejiang provinces.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Peng Tian, Yongchao Liu, Jialin Li, Ruiliang Pu, Luodan Cao, Haitao Zhang, Shunyi Ai, Yunze Yang
Summary: By utilizing GEE and ArcGIS platforms, this study developed a map of coastal aquaculture ponds in China, revealing distribution characteristics and providing important references for the management and decision-making in the aquaculture industry.
Article
Environmental Sciences
Ya Peng, Dhritiraj Sengupta, Yuanqiang Duan, Chunpeng Chen, Bo Tian
Summary: This paper proposes an efficient method to map coastal aquaculture ponds at a national scale by integrating spatial characteristics and three biophysical parameters. Results show that aquaculture intensity mainly concentrates in the coastal buffer zone, making it an effective approach for large-scale mapping projects.
MARINE POLLUTION BULLETIN
(2022)
Article
Environmental Sciences
Juhua Luo, Zhe Sun, Lirong Lu, Zhuyang Xiong, Lipeng Cui, Zhigang Mao
Summary: Aquaculture ponds are an important land use type and income source in coastal zones of Southeast Asia. However, their rapid expansion has posed threats to coastal ecosystems. This study used remote sensing images and geographic information system to assess the spatio-temporal expansion patterns of aquaculture ponds in the region over a 25-year period. The results showed that globalization and economic policies were the main drivers of the expansion.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Oceanography
Manh Hung Phan, Marcel J. F. Stive
Summary: Mangroves play a vital role in maintaining a healthy coastal environment, but the mangrove forests in the coastal region of the Mekong delta in southern Vietnam have been significantly affected by both natural and human factors. This study uses remote sensing and GIS techniques to quantitatively document the changes in mangrove area over the past 48 years. The results show a significant decrease in the total mangrove area due to aquaculture invasion and coastal erosion, although there has been a slight increase since 2010 due to conservation and restoration efforts. The survival of mangrove forests in the Mekong delta is threatened by pollution, land use conversion, insufficient sediment sources, coastal erosion, and encroachment. A integrated approach that combines mangroves and shrimp farming is considered a suitable solution to achieve a beneficial balance between aquaculture and mangrove preservation.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Zhaohui Zou, Chao Chen, Zhisong Liu, Zili Zhang, Jintao Liang, Huixin Chen, Liyan Wang
Summary: This study constructed a recognition model based on the U-2-Net deep learning model using remote sensing images to extract coastal aquaculture ponds. The method involves image preprocessing, sample production, model training, and post-processing. Experimental results showed high accuracy and recall rate, making it suitable for practical applications.
Article
Environmental Sciences
Xufeng Lin, Youwei Cheng, Gong Chen, Wenjing Chen, Rong Chen, Demin Gao, Yinlong Zhang, Yongbo Wu
Summary: This study employs the SegFormer model and Sentinel-2 data to conduct a wetland classification study for coastal wetlands in Yancheng, Jiangsu, China. The results indicate that SegFormer is the best model for wetland classification, efficiently and accurately extracting small-scale features.
Article
Chemistry, Multidisciplinary
Hakan Erten, Erkan Bostanci, Koray Acici, Mehmet Serdar Guzel, Tunc Asuroglu, Ayhan Aydin
Summary: The Synthetic Aperture Radar (SAR) system provides high-resolution images, and semantic SAR image segmentation offers a computer-based solution to simplify segmentation tasks. We propose a novel approach for labeling Sentinel-1 SAR radar images provided by the European Space Agency (ESA). Our approach involves denoising the images and using deep neural networks to enhance the results of semantic segmentation. By comparing our newly created dataset with speckled noise and noise-free versions, we achieved a mean intersection over union (mIoU) of 70.60% and overall pixel accuracy (PA) of 92.23 with the HRNet model. The combination of our pipeline with deep neural networks showed significant improvements in challenging semantic segmentation accuracy and mIoU values on the newly created Sentinel-1 dataset, as assessed by the McNemar test.
APPLIED SCIENCES-BASEL
(2023)
Article
Geosciences, Multidisciplinary
Samira Ahmed, Tamer ElGharbawi, Mahmoud Salah, Mahmoud El-Mewafi
Summary: This paper proposes a custom data generator based on the Segmentation Network (Seg-Net) model implemented in the Conditional Generative Adversarial Network (CGAN) for building an oil spill segmentation model. The proposed model shows high performance and accuracy using a relatively small training dataset. The paper also presents the oil spill segmentation results of four suggested models and provides performance assessment metrics.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Environmental Sciences
Nhu Da Le, Thi Thu Ha Hoang, Vu Phong Phung, Thi Lien Nguyen, Emma Rochelle-Newall, Thi Thuy Duong, Thi Mai Huong Pham, Thi Xuan Binh Phung, Tien Dat Nguyen, Phuong Thu Le, Le Anh Pham, Thi Anh Huong Nguyen, Thi Phuong Quynh Le
Summary: Coastal aquaculture plays an important role in the local economy, but water quality issues in coastal regions threaten its sustainability. This study analyzed the concentrations of seven heavy metals in surface seawater and wastewater in the Red River coastal aquaculture zone from 2019 to 2020. The results showed that the concentrations of heavy metals in seawater were generally below the regulatory limits, although some isolated samples had high individual concentrations. Only the concentration of arsenic in wastewater exceeded the regulatory limit for surface water quality. The analysis also revealed that the sources of heavy metals in seawater were from various activities and natural conditions. The overall ecological risk index in the Red River coastal zone was in the low range. These findings provide a scientific basis for better management of the coastal environment and the sustainable development of the aquaculture industry in the area.
Article
Biodiversity Conservation
Gengsheng Fang, Hao Xu, Sheng- Yang, Xiongwei Lou, Luming Fang
Summary: This study explored the potential of using different satellite sensors to predict forest canopy cover, diameter at breast height, and tree height. The results showed that the combination of S2 and L8 satellites or the addition of SAR data achieved the best accuracy in predicting these forest variables. Additionally, during the rainy season, shortwave infrared, near-infrared, and red-edge bands had the most significant implication for predicting these parameters.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Yuxuan Hou, Jie Yang, Christopher J. Russoniello, Tianyuan Zheng, Mei-lin Wu, Xuan Yu
Summary: Shrimp aquaculture can lead to groundwater salinization and increased submarine groundwater discharge (SGD), but research on this topic is limited. In this study, a numerical simulation approach was used to assess the impacts of shrimp farm irrigation on groundwater salinization and SGD. The results showed that pond water depth had a primary control on the mass of saltwater infiltration, while farm width had a primary control on recovery rate. Both pond water salinity and depth affected fresh and saline SGD. This study highlights the previously unrecognized mechanism of aquaculture on coastal aquifer vulnerability and SGD, emphasizing the need for further research on the impact of aquaculture on coastal groundwater resources.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Fernando Pech-May, Raul Aquino-Santos, Jorge Delgadillo-Partida
Summary: Floods are increasing in frequency and danger worldwide, with climate change and land use being major contributing factors. In Mexico, floods occur annually in various regions, causing significant losses and negative impacts on multiple industries. This paper presents a strategy using satellite imagery, the U-Net neural network, and ArcGIS platform to classify flooded areas in Tabasco, Mexico. Results demonstrate that U-Net performs well despite limited training samples, with increased precision as training data and epochs increase.
Article
Fisheries
Qian Huang, Meng Li, Fei Wang, Shuqun Song, Caiwen Li
Summary: Since 2012, outbreaks of Hematodinium perezi have occurred frequently in cultured swimming crabs along the coast of Shandong Province, China, leading to significant economic losses. The cryptic transmission pattern of H. perezi has hindered effective prevention and control in affected farms. Research found that the mudflat crab Helice tientsinensis acts as an important reservoir host and source of H. perezi for cultured Portunus trituberculatus, with waterborne transmission confirmed in the polyculture ponds.
Article
Environmental Sciences
Duy Ba Nguyen, Kersten Clauss, Senmao Cao, Vahid Naeimi, Claudia Kuenzer, Wolfgang Wagner
Review
Oceanography
Marco Ottinger, Kersten Clauss, Claudia Kuenzer
OCEAN & COASTAL MANAGEMENT
(2016)
Article
Environmental Sciences
Kersten Clauss, Huimin Yan, Claudia Kuenzer
Article
Remote Sensing
K. Clauss, M. Ottinger, C. Kuenzer
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2018)
Article
Environmental Sciences
Marco Ottinger, Kersten Clauss, Claudia Kuenzer
Article
Environmental Sciences
Kumar Arun Prasad, Marco Ottinger, Chunzhu Wei, Patrick Leinenkugel
Article
Environmental Sciences
Patrick Leinenkugel, Ramona Deck, Juliane Huth, Marco Ottinger, Benjamin Mack
Review
Environmental Sciences
Marco Ottinger, Claudia Kuenzer
Article
Environmental Sciences
David Mengen, Marco Ottinger, Patrick Leinenkugel, Lars Ribbe
Article
Environmental Sciences
Marco Ottinger, Felix Bachofer, Juliane Huth, Claudia Kuenzer
Summary: Asia dominates the aquaculture sector and contributes to 90% of the world's total annual global production. While aquaculture is important for providing protein source, income, and employment, it has also resulted in environmental degradation. Therefore, the utilization of geospatial information is crucial for managing and sustaining the aquaculture industry for coastal ecosystems, resources, and human health.
Article
Geography
Marco Ottinger, Claudia Kuenzer, Gaohuan Liu, Shaoqiang Wang, Stefan Dech