{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T09:09:56Z","timestamp":1772096996402,"version":"3.50.1"},"reference-count":39,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,2,11]],"date-time":"2019-02-11T00:00:00Z","timestamp":1549843200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Aquaculture is one of the fastest growing primary food production sectors in India and ranks second behind China. Due to its growing economic value and global demand, India\u2019s aquaculture industry experienced exponential growth for more than one decade. In this study, we extract land-based aquaculture at the pond level for the entire coastal zone of India using large-volume time series Sentinel-1 synthetic-aperture radar (SAR) data at 10-m spatial resolution. Elevation and slope from Shuttle Radar Topographic Mission digital elevation model (SRTM DEM) data were used for masking inappropriate areas, whereas a coastline dataset was used to create a land\/ocean mask. The pixel-wise temporal median was calculated from all available Sentinel-1 data to significantly reduce the amount of noise in the SAR data and to reduce confusions with temporary inundated rice fields. More than 3000 aquaculture pond vector samples were collected from high-resolution Google Earth imagery and used in an object-based image classification approach to exploit the characteristic shape information of aquaculture ponds. An open-source connected component segmentation algorithm was used for the extraction of the ponds based on the difference in backscatter intensity of inundated surfaces and shape metrics calculated from aquaculture samples as input parameters. This study, for the first time, provides spatial explicit information on aquaculture distribution at the pond level for the entire coastal zone of India. Quantitative spatial analyses were performed to identify the provincial dominance in aquaculture production, such as that revealed in Andhra Pradesh and Gujarat provinces. For accuracy assessment, 2000 random samples were generated based on a stratified random sampling method. The study demonstrates, with an overall accuracy of 0.89, the spatio-temporal transferability of the methodological framework and the high potential for a global-scale application.<\/jats:p>","DOI":"10.3390\/rs11030357","type":"journal-article","created":{"date-parts":[[2019,2,12]],"date-time":"2019-02-12T03:18:20Z","timestamp":1549941500000},"page":"357","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":81,"title":["Assessment of Coastal Aquaculture for India from Sentinel-1 SAR Time Series"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1645-4261","authenticated-orcid":false,"given":"Kumar Arun","family":"Prasad","sequence":"first","affiliation":[{"name":"Department of Geography, School of Earth Sciences, Central University of Tamil Nadu, Thiruvarur 610005, Tamil Nadu, India"},{"name":"German Remote Sensing Data Center, Earth Observation Center, German Aerospace Center, 82234 Wessling, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7336-1283","authenticated-orcid":false,"given":"Marco","family":"Ottinger","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center, Earth Observation Center, German Aerospace Center, 82234 Wessling, Germany"}]},{"given":"Chunzhu","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing, Institute of Geography and Geology, University of Wuerzburg, 97074 Wuerzburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5571-800X","authenticated-orcid":false,"given":"Patrick","family":"Leinenkugel","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center, Earth Observation Center, German Aerospace Center, 82234 Wessling, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ottinger, M., Clauss, K., and Kuenzer, C. (2017). Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data. Remote Sens., 9.","DOI":"10.3390\/rs9050440"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1080\/13657305.2015.994240","article-title":"Fish to 2030: The Role and Opportunity for Aquaculture","volume":"19","author":"Kobayashi","year":"2015","journal-title":"Aquac. Econ. Manag."},{"key":"ref_3","unstructured":"Venkataraman, K. (2019, February 02). Coastal and Marine Wetlands in India. Available online: https:\/\/www.researchgate.net\/profile\/Krishnamoorthy_Venkataraman\/publication\/303757779_Coastal_and_Marine_Wetlands_in_India\/links\/57510b5208ae1f765f946684.pdf."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1300\/J028v13n01_01","article-title":"Indian Aquaculture","volume":"13","author":"Gopakumar","year":"2003","journal-title":"J. Appl. Aquac."},{"key":"ref_5","unstructured":"Murthy, T.V.R., Patel, J.G., Panigrahy, S., and Parihar, J.S. (2013). National Wetland Atlas: Wetlands of International Importance Under Ramsar Convention."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1126\/science.1115179","article-title":"Global Voices of Science: Mangroves, Fishponds, and the Quest for Sustainability","volume":"310","author":"Primavera","year":"2005","journal-title":"Science"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Alejandro, C., Hernandez-Guzma, R., and Ruiz-Luna, A. (2011). Impact of Shrimp Farming on Mangrove Forest and Other Coastal Wetlands: The Case of Mexico. Aquac. Environ.","DOI":"10.5772\/30990"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s11273-005-2175-x","article-title":"Mangroves of Godavari\u2014Analysis Through Remote Sensing Approach","volume":"14","author":"Ramasubramanian","year":"2006","journal-title":"Wetland. Ecol. Manag."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Chaudhuri, P., Ghosh, S., Bakshi, M., Bhattacharyya, S., and Nath, B. (2015). A Review of Threats and Vulnerabilities to Mangrove Habitats: With Special Emphasis on East Coast of India. J. Earth Sci. Climat. Chang.","DOI":"10.4172\/2157-7617.1000270"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1080\/13657300209380305","article-title":"Aquaculture development in India: An economic overview with special reference to coastal aquaculture","volume":"6","author":"Krishnan","year":"2002","journal-title":"Aquac. Econ. Manag."},{"key":"ref_11","unstructured":"(2019, February 03). The State of World Fisheries and Aquaculture 2016. Available online: https:\/\/www.un-ilibrary.org\/agriculture-rural-development-and-forestry\/the-state-of-world-fisheries-and-aquaculture-2016_8e4e0ebf-en."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.ocecoaman.2015.10.015","article-title":"Aquaculture: Relevance, distribution, impacts and spatial assessments\u2014A review","volume":"119","author":"Ottinger","year":"2016","journal-title":"Ocean Coast. Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1080\/01431160701250374","article-title":"Auto-extraction technique-based digital classification of saltpans and aquaculture plots using satellite data","volume":"29","author":"Sridhar","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","first-page":"504","article-title":"Monitoring and Impact Assessment of Shrimp Farming in the East Coast of Thailand Using Remote Sensing and GIS","volume":"XXXIII","author":"Hazarika","year":"2000","journal-title":"Archives"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.apgeog.2014.12.012","article-title":"Assessment of land-use and land-cover changes from 1965 to 2014 in Tam Giang-Cau Hai Lagoon, central Vietnam","volume":"58","author":"Disperati","year":"2015","journal-title":"Appl. Geogr."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1111\/j.1467-9272.2006.00523.x","article-title":"Analyzing Spatial and Temporal Changes of Aquaculture in Yunlin County, Taiwan","volume":"58","author":"Tsai","year":"2006","journal-title":"Prof. Geogr."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2275","DOI":"10.1080\/01431169308954036","article-title":"Experiments in site selection for coastal aquaculture using Indian remote sensing satellite: IRS-1A","volume":"14","author":"Sudarshana","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1111\/j.1440-1770.2009.00413.x","article-title":"Investigation of aquaculture dynamics at a Ramsar site, using earth observation systems in conjunction with a socio-economic assessment","volume":"14","author":"Nagabhatla","year":"2009","journal-title":"Lakes Reserv. Res. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1111\/j.1365-2109.2006.01602.x","article-title":"Assessment of impact of aquaculture on Kolleru Lake (India) using remote sensing and Geographical Information System","volume":"3.7","author":"Jayanthi","year":"2006","journal-title":"Aquac. Res."},{"key":"ref_20","first-page":"1414","article-title":"Delineation and monitoring of aquaculture areas using multi-temporal space-borne multispectral data","volume":"9","author":"Dwivedi","year":"2005","journal-title":"Curr. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4423","DOI":"10.1080\/01431160903277456","article-title":"Land-cover change dynamics and coastal aquaculture development: A case study in the East Godavari delta, Andhra Pradesh, India using multi-temporal satellite data","volume":"3.1","author":"Rajitha","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4470","DOI":"10.3390\/rs5094470","article-title":"Extraction of Coastline in Aquaculture Coast from Multispectral Remote Sensing Images: Object-Based Region Growing Integrating Edge Detection","volume":"5","author":"Zhang","year":"2013","journal-title":"Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s10661-013-3360-7","article-title":"An object-based image analysis approach for aquaculture ponds precise mapping and monitoring: A case study of Tam Giang-Cau Hai Lagoon, Vietnam","volume":"186","author":"Virdis","year":"2013","journal-title":"Environ. Monit. Assess."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5122","DOI":"10.3390\/rs5105122","article-title":"Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province","volume":"5","author":"Kuenzer","year":"2013","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"4645","DOI":"10.1080\/01431161.2017.1325534","article-title":"Comparative flood area analysis of C-band VH, VV, and L-band HH polarizations SAR data","volume":"38","author":"Manavalan","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2235","DOI":"10.1080\/014311699212227","article-title":"Mapping wetlands of the Sundaban Delta and it\u2019s environs using ERS-1 SAR data","volume":"20","author":"Dwivedi","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","unstructured":"Greidanus, H., and Santamaria, C. (2019, February 07). First Analyses of Sentinel-1 Images for Maritime Surveillance. Available online: https:\/\/core.ac.uk\/download\/pdf\/38629108.pdf."},{"key":"ref_28","first-page":"25","article-title":"Fishpond Aqiuaculture Inventory in Maros Regency of South Sulawesi Province","volume":"10","author":"Marini","year":"2013","journal-title":"Int. J. Remote Sens. Earth Sci."},{"key":"ref_29","unstructured":"Travaglia, C., Profeti, G., Aguilar-Manjarrez, J., and Lopez, N.A. (2004). Mapping Coastal Aquaculture and Fisheries Structures by Satellite Imaging Radar: Case Study of the Lingayen Gulf, the Philippines, FAO."},{"key":"ref_30","unstructured":"de Jong, J. (2019, February 07). Aquaculture in India, Rijksdienst voor Ondernemend Nederland (RVO.nl). Available online: https:\/\/www.rvo.nl\/sites\/default\/files\/2017\/04\/aquaculture-in-india-report-2017.pdf."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1080\/10641260802715072","article-title":"Functional options for sustainable shrimp aquaculture in India","volume":"17","author":"Manoj","year":"2009","journal-title":"Rev. Fish. Sci."},{"key":"ref_32","unstructured":"Panigrahy, S., Murthy, T.V.R., Patel, J.G., and Singh, T.S. (2011). National Wetland Atlas."},{"key":"ref_33","first-page":"1","article-title":"Status of wetlands in India: A review of extent, ecosystem benefits, threats and management strategies","volume":"2","author":"Bassi","year":"2014","journal-title":"J. Hyd. Reg. Stud."},{"key":"ref_34","unstructured":"Mpeda.gov.in (2019, January 24). The Marine Products Exports Development Authority (MPEDA), Available online: http:\/\/mpeda.gov.in\/MPEDA\/cms.php?id=YXJlYS11bmRlci1jdWx0dXJl#."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1111\/j.1466-8238.2010.00584.x","article-title":"Status and distribution of mangrove forests of the world using earth observation satellite data","volume":"20","author":"Giri","year":"2010","journal-title":"Glob. Ecol. Biogeog."},{"key":"ref_36","unstructured":"(2018, September 17). OTB Team OTB CookBook Documentation. Available online: https:\/\/www.orfeo-toolbox.org\/packages\/OTBCookBook.pdf."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1080\/2150704X.2014.1002945","article-title":"Results of the Global WaterPack: A novel product to assess inland water body dynamics on a daily basis","volume":"6","author":"Klein","year":"2015","journal-title":"Remote Sens. Lett."},{"key":"ref_38","unstructured":"Sinha, M. (1999). Inland fisheries development achievements and Destination for Twenty-first century. National Seminar on Eco-Friendly Management of Resources for Doubling Fish Production Strategies for 21 Century, CICFRI."},{"key":"ref_39","unstructured":"Henn, H. (2002). Entwicklungspolitische Bewertung der Blauen Revolution: Wirkungen der Aquakultur in Indien. [Ph.D. Thesis, Freie Universit\u00e4t Berlin]."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/357\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:31:03Z","timestamp":1760185863000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/357"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,11]]},"references-count":39,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,2]]}},"alternative-id":["rs11030357"],"URL":"https:\/\/doi.org\/10.3390\/rs11030357","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,11]]}}}