{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T09:16:54Z","timestamp":1771233414287,"version":"3.50.1"},"reference-count":153,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T00:00:00Z","timestamp":1734393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Project of China","award":["2024YFC3712300"],"award-info":[{"award-number":["2024YFC3712300"]}]},{"name":"National Key Research and Development Project of China","award":["62410"],"award-info":[{"award-number":["62410"]}]},{"name":"Doctoral Science and Technology Innovation Fund of China Waterborne Transport Research Institute","award":["2024YFC3712300"],"award-info":[{"award-number":["2024YFC3712300"]}]},{"name":"Doctoral Science and Technology Innovation Fund of China Waterborne Transport Research Institute","award":["62410"],"award-info":[{"award-number":["62410"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Coastal zones, where land meets ocean, are home to a large portion of the global population and play a crucial role in human survival and development. These regions are shaped by complex geological processes and influenced by both natural and anthropogenic factors, making effective management essential for addressing population growth, environmental degradation, and resource sustainability. However, the inherent complexity of coastal zones complicates their study, and traditional in situ methods are often inefficient. Remote sensing technologies have significantly advanced coastal zone research, with different sensors providing diverse perspectives. These sensors are typically used for classification tasks (e.g., coastline extraction, coastal classification) and retrieval tasks (e.g., aquatic color, wetland monitoring). Recent improvements in resolution and the advent of deep learning have led to notable progress in classification, while platforms like Google Earth Engine (GEE) have enabled the development of high-quality, global-scale products. This paper provides a comprehensive overview of coastal zone interpretation, discussing platforms, sensors, spectral characteristics, and key challenges while proposing potential solutions for future research and management.<\/jats:p>","DOI":"10.3390\/rs16244701","type":"journal-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T03:46:02Z","timestamp":1734407162000},"page":"4701","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Remote Sensing Image Interpretation for Coastal Zones: A Review"],"prefix":"10.3390","volume":"16","author":[{"given":"Shuting","family":"Sun","sequence":"first","affiliation":[{"name":"China Waterborne Transport Research Institute, Beijing 100013, China"}]},{"given":"Qingqing","family":"Xue","sequence":"additional","affiliation":[{"name":"China Waterborne Transport Research Institute, Beijing 100013, China"}]},{"given":"Xinying","family":"Xing","sequence":"additional","affiliation":[{"name":"China Waterborne Transport Research Institute, Beijing 100013, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2176-9030","authenticated-orcid":false,"given":"Huihui","family":"Zhao","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8953-2666","authenticated-orcid":false,"given":"Fang","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Waterborne Transport Research Institute, Beijing 100013, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Aspragkathos, S.N., Karras, G.C., and Kyriakopoulos, K.J. 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