23.2.8.14 Aquaculture, Analysis, Extraction

Chapter Contents (Back)
Aquaculture. Crops.

Zhang, T.[Tao], Yang, X.M.[Xiao-Mei], Hu, S.S.[Shan-Shan], Su, F.Z.[Fen-Zhen],
Extraction of Coastline in Aquaculture Coast from Multispectral Remote Sensing Images: Object-Based Region Growing Integrating Edge Detection,
RS(5), No. 9, 2013, pp. 4470-4487.
DOI Link 1310
BibRef

Puniwai, N.[Noelani], Canale, L.[Lisa], Haws, M.[Maria], Potemra, J.[James], Lepczyk, C.[Christopher], Gray, S.[Steven],
Development of a GIS-Based Tool for Aquaculture Siting,
IJGI(3), No. 2, 2014, pp. 800-816.
DOI Link 1407
BibRef

Ottinger, M.[Marco], Clauss, K.[Kersten], Kuenzer, C.[Claudia],
Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

von Borstel Luna, F.D.[Fernando D.], de la Rosa Aguilar, E.[Edgar], Suárez Naranjo, J.[Jaime], Gutiérrez Jagüey, J.[Joaquín],
Robotic System for Automation of Water Quality Monitoring and Feeding in Aquaculture Shadehouse,
SMCS(47), No. 7, July 2017, pp. 1575-1589.
IEEE DOI 1706
Aquaculture, Internet, Monitoring, Object oriented modeling, Robot sensing systems, Unified modeling language, Aquaculture shadehouse, Internet robotic system, Petri nets (PNs), event-based control theory, feeding devices, unified modeling language (UML), water, quality, monitoring BibRef

Ottinger, M.[Marco], Clauss, K.[Kersten], Kuenzer, C.[Claudia],
Opportunities and Challenges for the Estimation of Aquaculture Production Based on Earth Observation Data,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Prasad, K.A.[Kumar Arun], Ottinger, M.[Marco], Wei, C.Z.[Chun-Zhu], Leinenkugel, P.[Patrick],
Assessment of Coastal Aquaculture for India from Sentinel-1 SAR Time Series,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Stiller, D.[Dorothee], Ottinger, M.[Marco], Leinenkugel, P.[Patrick],
Spatio-Temporal Patterns of Coastal Aquaculture Derived from Sentinel-1 Time Series Data and the Full Landsat Archive,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Cui, B.[Binge], Fei, D.[Dong], Shao, G.H.[Guang-Hui], Lu, Y.[Yan], Chu, J.L.[Jia-Lan],
Extracting Raft Aquaculture Areas from Remote Sensing Images via an Improved U-Net with a PSE Structure,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Fu, Y.Y.[Yong-Yong], Ye, Z.[Ziran], Deng, J.S.[Jin-Song], Zheng, X.Y.[Xin-Yu], Huang, Y.[Yibo], Yang, W.[Wu], Wang, Y.H.[Yao-Hua], Wang, K.[Ke],
Finer Resolution Mapping of Marine Aquaculture Areas Using WorldView-2 Imagery and a Hierarchical Cascade Convolutional Neural Network,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Sui, B.[Baikai], Jiang, T.[Tao], Zhang, Z.[Zhen], Pan, X.L.[Xin-Liang], Liu, C.X.[Chen-Xi],
A Modeling Method for Automatic Extraction of Offshore Aquaculture Zones Based on Semantic Segmentation,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Wang, L.H.[Lin-Hui], Yue, X.J.[Xue-Jun], Wang, H.H.[Hui-Hui], Ling, K.J.[Kang-Jie], Liu, Y.X.[Yong-Xin], Wang, J.[Jian], Hong, J.B.[Jin-Bao], Pen, W.[Wen], Song, H.B.[Hou-Bing],
Dynamic Inversion of Inland Aquaculture Water Quality Based on UAVs-WSN Spectral Analysis,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Luo, J.[Juhua], Pu, R.L.[Rui-Liang], Ma, R.H.[Rong-Hua], Wang, X.L.[Xiao-Long], Lai, X.[Xijun], Mao, Z.G.[Zhi-Gang], Zhang, L.[Li], Peng, Z.L.[Zhao-Liang], Sun, Z.[Zhe],
Mapping Long-Term Spatiotemporal Dynamics of Pen Aquaculture in a Shallow Lake: Less Aquaculture Coming along Better Water Quality,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Gokul, E.A.[Elamurugu Alias], Raitsos, D.E.[Dionysios E.], Gittings, J.A.[John A.], Hoteit, I.[Ibrahim],
Developing an Atlas of Harmful Algal Blooms in the Red Sea: Linkages to Local Aquaculture,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Yunis, C.R.C.[Christian Ricardo Calle], López, R.S.[Rolando Salas], Cruz, S.M.O.[Segundo Manuel Oliva], Castillo, E.B.[Elgar Barboza], López, J.O.S.[Jhonsy Omar Silva], Trigoso, D.I.[Daniel Iliquín], Briceño, N.B.R.[Nilton B. Rojas],
Land Suitability for Sustainable Aquaculture of Rainbow Trout (Oncorhynchus mykiss) in Molinopampa (Peru) Based on RS, GIS, and AHP,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Zhang, Y.[Yi], Wang, C.Y.[Cheng-Yi], Ji, Y.[Yuan], Chen, J.B.[Jing-Bo], Deng, Y.P.[Yu-Peng], Chen, J.[Jing], Jie, Y.S.[Yong-Shi],
Combining Segmentation Network and Nonsubsampled Contourlet Transform for Automatic Marine Raft Aquaculture Area Extraction from Sentinel-1 Images,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Wu, Y.L.[Yan-Lun], Lee, M.A.[Ming-An], Chen, L.C.[Lu-Chi], Chan, J.W.[Jui-Wen], Lan, K.W.[Kuo-Wei],
Evaluating a Suitable Aquaculture Site Selection Model for Cobia (Rachycentron canadum) during Extreme Events in the Inner Bay of the Penghu Islands, Taiwan,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Xu, Y.[Yue], Hu, Z.W.[Zhong-Wen], Zhang, Y.H.[Ying-Hui], Wang, J.Z.[Jing-Zhe], Yin, Y.M.[Yu-Meng], Wu, G.F.[Guo-Feng],
Mapping Aquaculture Areas with Multi-Source Spectral and Texture Features: A Case Study in the Pearl River Basin (Guangdong), China,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Sousa, D.[Daniel], Small, C.[Christopher],
Land Cover Dynamics on the Lower Ganges-Brahmaputra Delta: Agriculture-Aquaculture Transitions, 1972-2017,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Ottinger, M.[Marco], Bachofer, F.[Felix], Huth, J.[Juliane], Kuenzer, C.[Claudia],
Mapping Aquaculture Ponds for the Coastal Zone of Asia with Sentinel-1 and Sentinel-2 Time Series,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Lu, Y.M.[Yi-Min], Shao, W.[Wei], Sun, J.[Jie],
Extraction of Offshore Aquaculture Areas from Medium-Resolution Remote Sensing Images Based on Deep Learning,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Zeng, Z.[Zhe], Wang, D.[Di], Tan, W.X.[Wen-Xia], Yu, G.L.[Gong-Liang], You, J.C.[Jia-Cheng], Lv, B.T.[Bo-Tao], Wu, Z.H.[Zhong-Heng],
RCSANet: A Full Convolutional Network for Extracting Inland Aquaculture Ponds from High-Spatial-Resolution Images,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Ferriby, H.[Hannah], Nejadhashemi, A.P.[Amir Pouyan], Hernandez-Suarez, J.S.[Juan Sebastian], Moore, N.[Nathan], Kpodo, J.[Josué], Kropp, I.[Ian], Eeswaran, R.[Rasu], Belton, B.[Ben], Haque, M.M.[Mohammad Mahfujul],
Harnessing Machine Learning Techniques for Mapping Aquaculture Waterbodies in Bangladesh,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhong, Y.F.[Ya-Feng], Liao, S.Y.[Si-Yuan], Yu, G.[Guo], Fu, D.Y.[Dong-Yang], Huang, H.[Haoen],
Harbor Aquaculture Area Extraction Aided with an Integration-Enhanced Gradient Descent Algorithm,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wang, J.[Jun], Yang, X.M.[Xiao-Mei], Wang, Z.H.[Zhi-Hua], Ge, D.Z.[Da-Zhuan], Kang, J.[Junmei],
Monitoring Marine Aquaculture and Implications for Marine Spatial Planning: An Example from Shandong Province, China,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhang, Y.[Yi], Wang, C.Y.[Cheng-Yi], Chen, J.B.[Jing-Bo], Wang, F.[Futao],
Shape-Constrained Method of Remote Sensing Monitoring of Marine Raft Aquaculture Areas on Multitemporal Synthetic Sentinel-1 Imagery,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Kurekin, A.A.[Andrey A.], Miller, P.I.[Peter I.], Avillanosa, A.L.[Arlene L.], Sumeldan, J.D.C.[Joel D. C.],
Monitoring of Coastal Aquaculture Sites in the Philippines through Automated Time Series Analysis of Sentinel-1 SAR Images,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Zou, Z.H.[Zhao-Hui], Chen, C.[Chao], Liu, Z.[Zhisong], Zhang, Z.L.[Zi-Li], Liang, J.T.[Jin-Tao], Chen, H.X.[Hui-Xin], Wang, L.Y.[Li-Yan],
Extraction of Aquaculture Ponds along Coastal Region Using U2-Net Deep Learning Model from Remote Sensing Images,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Su, H.[Hua], Wei, S.[Susu], Qiu, J.L.[Jun-Long], Wu, W.T.[Wen-Ting],
RaftNet: A New Deep Neural Network for Coastal Raft Aquaculture Extraction from Landsat 8 OLI Data,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Ma, Y.J.[Yu-Jie], Qu, X.Y.[Xiao-Yu], Yu, C.[Cixian], Wu, L.[Lianhui], Zhang, P.[Peng], Huang, H.[Hengda], Gui, F.[Fukun], Feng, D.J.[De-Jun],
Automatic Extraction of Marine Aquaculture Zones from Optical Satellite Images by R3Det with Piecewise Linear Stretching,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Tian, P.[Peng], Liu, Y.C.[Yong-Chao], Li, J.L.[Jia-Lin], Pu, R.L.[Rui-Liang], Cao, L.[Luodan], Zhang, H.T.[Hai-Tao], Ai, S.[Shunyi], Yang, Y.Z.[Yun-Ze],
Mapping Coastal Aquaculture Ponds of China Using Sentinel SAR Images in 2020 and Google Earth Engine,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212

See also Mapping Photovoltaic Panels in Coastal China Using Sentinel-1 and Sentinel-2 Images and Google Earth Engine. BibRef

Wang, Y.G.[Yong-Gui], Zhang, Y.X.[Ya-Xin], Chen, Y.[Yan], Wang, J.J.[Jun-Jie], Bai, H.[Hui], Wu, B.[Bo], Li, W.[Wei], Li, S.W.[Shou-Wei], Zheng, T.Y.[Tian-Yu],
The Assessment of More Suitable Image Spatial Resolutions for Offshore Aquaculture Areas Automatic Monitoring Based on Coupled NDWI and Mask R-CNN,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Aghmashhadi, A.H.[Amir H.], Azizi, A.[Ali], Hoseinkhani, M.[Maryam], Zahedi, S.[Samaneh], Cirella, G.T.[Giuseppe T.],
Aquaculture Site Selection of Oncorhynchus Mykiss (Rainbow Trout) in Markazi Province Using GIS-Based MCDM,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Gao, L.[Long], Wang, C.Y.[Cheng-Yi], Liu, K.[Kai], Chen, S.H.[Shao-Hui], Dong, G.N.[Guan-Nan], Su, H.B.[Hong-Bo],
Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Hou, Y.X.[Yu-Xuan], Zhao, G.[Gang], Chen, X.H.[Xiao-Hong], Yu, X.[Xuan],
Improving Satellite Retrieval of Coastal Aquaculture Pond by Adding Water Quality Parameters,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Chen, Y.L.[Yan-Lin], He, G.J.[Guo-Jin], Yin, R.[Ranyu], Zheng, K.[Kaiyuan], Wang, G.Z.[Gui-Zhou],
Comparative Study of Marine Ranching Recognition in Multi-Temporal High-Resolution Remote Sensing Images Based on DeepLab-v3+ and U-Net,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Cheng, J.[Jie], Jia, N.[Nan], Chen, R.[Ruishan], Guo, X.N.[Xiao-Na], Ge, J.Z.[Jian-Zhong], Zhou, F.[Fucang],
High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016-2022),
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Li, B.[Boyi], Gong, A.[Adu], Chen, Z.[Zikun], Pan, X.[Xiang], Li, L.L.[Ling-Ling], Li, J.L.[Jing-Lin], Bao, W.X.[Wen-Xuan],
An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Wang, P.[Peng], Wang, J.[Jian], Liu, X.X.[Xiao-Xiang], Huang, J.L.[Jin-Liang],
A Google Earth Engine-Based Framework to Identify Patterns and Drivers of Mariculture Dynamics in an Intensive Aquaculture Bay in China,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Song, D.[Derui], Zhu, C.[Cheng], Tao, J.Z.[Jing-Zhe], Shi, X.F.[Xiao-Fei], Wang, X.H.[Xiang-Hai],
DLRW: Dual-Link Weight Random Walk Model for Aquaculture Boundary Extraction by Single-Polarized SAR Imagery,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Nurdin, N.[Nurjannah], Alevizos, E.[Evangelos], Syamsuddin, R.[Rajuddin], Asis, H.[Hasni], Zainuddin, E.N.[Elmi Nurhaidah], Aris, A.[Agus], Oiry, S.[Simon], Brunier, G.[Guillaume], Komatsu, T.[Teruhisa], Barillé, L.[Laurent],
Precision Aquaculture Drone Mapping of the Spatial Distribution of Kappaphycus alvarezii Biomass and Carrageenan,
RS(15), No. 14, 2023, pp. 3674.
DOI Link 2307
BibRef

Chentouf, S.[Sanae], Sebbah, B.[Boutaina], Bahousse, E.[El_Houssine], Wahbi, M.[Miriam], Maâtouk, M.[Mustapha],
GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis,
IJGI(12), No. 10, 2023, pp. 439.
DOI Link 2311
BibRef

Meng, Y.[Yaru], Zhang, J.J.[Jia-Jun], Yang, X.M.[Xiao-Mei], Wang, Z.H.[Zhi-Hua],
Spatial-Temporal Mapping and Landscape Influence of Aquaculture Ponds in the Yangtze River Economic Belt from 1985 to 2020,
RS(15), No. 23, 2023, pp. 5477.
DOI Link 2312
BibRef

Ren, Y.G.[You-Gui], Yang, X.M.[Xiao-Mei], Wang, Z.H.[Zhi-Hua], Yu, G.[Ge], Liu, Y.M.[Yue-Ming], Liu, X.L.[Xiao-Liang], Meng, D.[Dan], Zhang, Q.Y.[Qing-Yang], Yu, G.[Guo],
Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture: Using Liaoning Province, China as an Example,
RS(15), No. 24, 2023, pp. 5781.
DOI Link 2401
BibRef

Sedighkia, M.[Mahdi], Datta, B.[Bithin],
Suitability Assessment of Cage Fish Farming Location in Reservoirs through Neural Networks-Based Remote Sensing Analysis,
RS(16), No. 2, 2024, pp. 236.
DOI Link 2402
BibRef

Wang, C.[Chen], Wang, G.[Genhou], Zhang, G.[Geli], Cui, Y.F.[Yi-Feng], Zhang, X.[Xi], He, Y.L.[Ying-Li], Zhou, Y.[Yan],
Freshwater Aquaculture Mapping in 'Home of Chinese Crawfish' by Using a Hierarchical Classification Framework and Sentinel-1/2 Data,
RS(16), No. 5, 2024, pp. 893.
DOI Link 2403
BibRef

Hu, Y.[Yingwen], Zhang, L.[Li], Chen, B.[Bowei], Zuo, J.[Jian],
An Object-Based Approach to Extract Aquaculture Ponds with 10-Meter Resolution Sentinel-2 Images: A Case Study of Wenchang City in Hainan Province,
RS(16), No. 7, 2024, pp. 1217.
DOI Link 2404
BibRef

Meng, D.[Dan], Yang, X.M.[Xiao-Mei], Wang, Z.H.[Zhi-Hua], Liu, Y.M.[Yue-Ming], Zhang, J.[Junyao], Liu, X.L.[Xiao-Liang], Liu, B.[Bin],
Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring,
RS(16), No. 9, 2024, pp. 1585.
DOI Link 2405
BibRef

Ding, H.[Han], Xu, K.[Kang], Liu, C.[Chongbin], Yu, J.J.[Juan-Juan],
Monitoring Monthly Net-Pen Aquaculture Dynamics of Shallow Lakes Using Sentinel-1 Data: Case Study of Shallow Lakes in Jiangsu Province, China,
RS(16), No. 11, 2024, pp. 1922.
DOI Link 2406
BibRef


Zhao, J.H.[Jun-Hong], Xue, B.[Bing], Vennell, R.[Ross], Zhang, M.J.[Meng-Jie],
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary,
IVCNZ23(1-6)
IEEE DOI 2403
Structure from motion, Decision making, Streaming media, Strategic planning, Cameras, GPS BibRef

McMillan, C.[Carl], Zhao, J.[Junhong], Xue, B.[Bing], Vennell, R.[Ross], Zhang, M.J.[Meng-Jie],
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation,
IVCNZ23(1-6)
IEEE DOI 2403
Deep learning, YOLO, Training, Adaptation models, Transfer learning, Lighting, Data models, object detection, deep learning, aquaculture BibRef

Zhao, J.[Junhong], McMillan, C.[Carl], Xue, B.[Bing], Vennell, R.[Ross], Zhang, M.J.[Meng-Jie],
Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming,
IVCNZ23(1-6)
IEEE DOI 2403
Deep learning, Limiting, Computational modeling, Lighting, Inspection, Task analysis, Monitoring, Aquaculture, object detection, intrinsic decomposition BibRef

Zeng, D.[Dylon], Bi, Y.[Ying], Liu, I.[Ivy], Xue, B.[Bing], Vennell, R.[Ross], Zhang, M.J.[Meng-Jie],
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images,
IVCNZ23(1-6)
IEEE DOI 2403
Image quality, Training, Industries, Image segmentation, Sensitivity, Object detection, Production, Object Detection, Waterline Detection
See also Object-Based Genetic Programming Approach for Cropland Field Extraction, An. BibRef

Galloway, A., Taylor, G.W., Ramsay, A., Moussa, M.,
The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment,
CRV17(361-366)
IEEE DOI 1804
aquaculture, feedforward neural nets, image annotation, image segmentation, Ciona17 dataset, semantic segmentation BibRef

Loberternos, R.A., Porpetcho, W.P., Graciosa, J.C.A., Violanda, R.R., Diola, A.G., Dy, D.T., Otadoy, R.E.S.,
An Object-based Workflow Developed To Extract Aquaculture Ponds From Airborne Lidar Data: A Test Case In Central Visayas, Philippines,
ISPRS16(B8: 1147-1152).
DOI Link 1610
BibRef

Carbajal Hernández, J.J.[José Juan], Sánchez Fernández, L.P.[Luis Pastor], Moreno Ibarra, M.A.[Marco Antonio],
Assessment of the Artificial Habitat in Shrimp Aquaculture Using Environmental Pattern Classification,
ICISP10(113-121).
Springer DOI 1006
BibRef

Carbajal Hernández, J.J.[José Juan], Sanchez Fernandez, L.P.[Luis Pastor], Oropeza Rodríguez, J.L.[José Luis], Felipe Riverón, E.M.[Edgardo Manuel],
Signal Analysis for Assessment and Prediction of the Artificial Habitat in Shrimp Aquaculture,
CIARP09(353-360).
Springer DOI 0911
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Cover Change Analysis, Remote Sensing Change Analysis, Temporal Analysis .


Last update:Jun 17, 2024 at 21:38:11