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Image super-resolution reconstruction technology refers to the reconstruction of a given low-resolution image into a corresponding high-resolution image according to a specific algorithm. The super-resolution digital image recovery technology has broad application prospects in real life, and it has a great impact on seawater resources. Ecological evaluation is of great significance, and the ecological evaluation of marine water resources is also of great significance for protecting the environment of the region and the development and utilization of resources. This research has collected relevant survey data and field research to conduct an overall environmental assessment of seawater resources from the perspective of environmental assessment, comprehensive assessment, and value assessment and establish appropriate assessment indicators and indicator systems. The current state model of sea water resources and the prediction of future changes constitute the theoretical basis for the protection and sustainable development of sea water resources to better serve economic development. This article uses image super-resolution technology to create clearer and richer high-frequency image details. The texture of this is of great practical value for distance learning English. In the standardized learning environment used for epidemic prevention and control, distance learning models have attracted more and more attention from researchers. As a highly interactive course, English puts forward high requirements for the development and interaction of distance learning. This article uses two forms of remote applications for online learning of English courses. By combining online and offline classroom practice throughout the semester, this article collects and organizes the feedback from teachers and students in the classroom and presents a hybrid approach for the next stage. The cross-cultural oral teaching design has established a solid practice. [ABSTRACT FROM AUTHOR]