Remote Sensing in Monitoring and Assessment of Marine Environment

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 2614

Special Issue Editors


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Guest Editor
College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
Interests: urban and marine environment remote sensing; hyperspectral remote sensing; multisource remote sensing applications
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Guest Editor
School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, China
Interests: remote sensing of marine environments; ecological effects of hydrodynamic processes; artificial intelligence algorithm development

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Guest Editor
School of Geography, South China Normal University, Guangzhou 510631, China
Interests: remote sensing of water environment; urban waterlogging prevention; spatial analysis and policy simulation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
Interests: multisource remote sensing applications; wetland remote sensing; coastal and marine environment remote sensing

Special Issue Information

Dear Colleagues,

Analysis of marine and coastal systems is of fundamental importance to environmental scientists, engineers, and managers. Remote sensing has played an important role in characterizing the marine environment, with particular emphasis on sea surface features, temperature, and salinity; mapping of shorelines, wetlands, and coral reefs; local fisheries and species movements; tracking of hurricanes, earthquakes, and coastal flooding; and changes in coastal upwelling and marine productivity. Obviously, marine remote sensing is a broad field of study with a rich and expanding agenda. Today, with the rapid global urbanization, marine ecosystems are subject to a multitude of direct human pressures, such as overexploitation, eutrophication, pollution, and species introductions. Challenges imposed by human pressures and ocean dynamics, and the complex interactions of local, regional, and global processes continue to motivate new applications in marine environment remote sensing. This Special Issue aims to explore new solutions in remote-sensing-based marine environment monitoring and assessment. In this context, both general methodological contributions and case studies are welcome.

Prof. Dr. Genyun Sun
Prof. Dr. Jun Zhao
Prof. Dr. Yaolong Zhao
Dr. Aizhu Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • remote sensing
  • marine ecology
  • coastal zone ecology
  • water quality
  • coastal wetland
  • marine management and sustainability
  • sea surface target recognition and parameter inversion

Published Papers (1 paper)

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Research

23 pages, 14986 KiB  
Article
Area Changes and Influencing Factors of Large Inland Lakes in Recent 20 Years: A Case Study of Sichuan Province, China
by Wenxin Liu, Xiaoai Dai, Meilian Wang, Yan Lan, Ge Qu, Yunfeng Shan, Jiashun Ren, Weile Li, Shuneng Liang, Youlin Wang and Dongsheng Liu
Water 2022, 14(18), 2816; https://doi.org/10.3390/w14182816 - 09 Sep 2022
Cited by 1 | Viewed by 2012
Abstract
Lakes are important natural resources closely related to human survival and development. Based on PIE cloud computing platform, the study uses Landsat images and the empirical normalized water body index (ENDWI) to extract water body information of the large lakes in Sichuan province [...] Read more.
Lakes are important natural resources closely related to human survival and development. Based on PIE cloud computing platform, the study uses Landsat images and the empirical normalized water body index (ENDWI) to extract water body information of the large lakes in Sichuan province from 2000 to 2020 in the drought and rainy seasons, respectively, and uses the Mann–Kendall test to obtain the long-term trends of their area and climate. On this basis, the evolution of the lakes and their correlation with climate and human activities are analyzed. The results show that (1) In the past 20 years, the area of Lugu Lake, Qionghai Lake, and Luban Reservoir represent a decreasing trend, with Lugu Lake being the most affected. The area of Ma Lake, Three Forks Lake, and Shengzhong Reservoir increased, with the area of Shengzhong Reservoir increasing significantly; (2) During the drought season, all six lakes showed a decreasing trend in precipitation, with the most apparent decreasing trend for Lugu Lake (Slope = −0.8). Only Lugu Lake showed a decreasing trend in precipitation (Slope = −0.15) during the rainy season. The precipitation of Ma Lake, Three Forks Lake, Luban Reservoir and Shengzhong Reservoir showed a significant increasing trend (Slope value was greater than 1.96); (3) The temperatures of the remaining lakes all decreased in the drought season and increased in the rainy season, except that the temperature of Shengzhong Reservoir decreases throughout the year; (4) The area change of plain lakes is greatly affected by human activities, but the area of plateau lakes is are more impacted by climate. Our study improved the accuracy of long-term water body change monitoring with PIE-Engine Studio. Besides, the findings would provide reference for the implementation of sustainable water resources management in Sichuan Province. Full article
(This article belongs to the Special Issue Remote Sensing in Monitoring and Assessment of Marine Environment)
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