McCarthy Matthew J, Colna Kaitlyn E, El-Mezayen Mahmoud M, Laureano-Rosario Abdiel E, Méndez-Lázaro Pablo, Otis Daniel B, Toro-Farmer Gerardo, Vega-Rodriguez Maria, Muller-Karger Frank E
Institute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Aquaculture Department, National Institute of Oceanography and Fisheries (NIOF), Alexandria, Egypt.
Environ Manage. 2017 Aug;60(2):323-339. doi: 10.1007/s00267-017-0880-x. Epub 2017 May 8.
Management of coastal and marine natural resources presents a number of challenges as a growing global population and a changing climate require us to find better strategies to conserve the resources on which our health, economy, and overall well-being depend. To evaluate the status and trends in changing coastal resources over larger areas, managers in government agencies and private stakeholders around the world have increasingly turned to remote sensing technologies. A surge in collaborative and innovative efforts between resource managers, academic researchers, and industry partners is becoming increasingly vital to keep pace with evolving changes of our natural resources. Synoptic capabilities of remote sensing techniques allow assessments that are impossible to do with traditional methods. Sixty years of remote sensing research have paved the way for resource management applications, but uncertainties regarding the use of this technology have hampered its use in management fields. Here we review examples of remote sensing applications in the sectors of coral reefs, wetlands, water quality, public health, and fisheries and aquaculture that have successfully contributed to management and decision-making goals.
随着全球人口的增长和气候的变化，沿海和海洋自然资源的管理面临着诸多挑战，这要求我们找到更好的策略来保护那些关乎我们健康、经济和整体福祉的资源。为了评估更大区域内沿海资源变化的现状和趋势，世界各地政府机构的管理人员以及私营利益相关者越来越多地求助于遥感技术。资源管理者、学术研究人员和行业合作伙伴之间合作与创新努力的激增，对于跟上我们自然资源不断演变的变化至关重要。遥感技术的全景观测能力使得一些用传统方法无法进行的评估成为可能。六十年的遥感研究为资源管理应用铺平了道路，但这项技术使用方面的不确定性阻碍了它在管理领域的应用。在此，我们回顾了遥感技术在珊瑚礁、湿地、水质、公共卫生以及渔业和水产养殖等领域的应用实例，这些应用已成功助力实现管理和决策目标。
