tailieunhanh - A review of seagrass studies by using satellite remote sensing data in the southeast Asia: Status and potential
The results showed that the number of studies in the application of remote sensing for seagrass are still limited, mainly from 2011 to 2017, which focus on habitat mapping (accounting for 62 %) and other studies on the detection of seagrass change in temporal (38 %). | Vietnam Journal of Science and Technology 55 (4C) (2017) 148-154 A REVIEW OF SEAGRASS STUDIES BY USING SATELLITE REMOTE SENSING DATA IN THE SOUTHEAST ASIA: STATUS AND POTENTIAL Nguyen Thi Thien Huong1, Tran Anh Tuan2, Vo Trong Thach3, Hoang Cong Tin2, * 1 Centre for Coastal Management and Development Studies, University of Sciences, Hue University, 77 Nguyen Hue Street, Hue city, Thua Thien Hue province, Viet Nam 2 Faculty of Environmental Science, University of Sciences, Hue University, 77 Nguyen Hue Street, Hue city, Thua Thien Hue province, Viet Nam 3 Nhatrang Institute of Technology Research and Application, VAST, 02 Hung Vuong Street, Nha Trang city, Khanh Hoa province, Viet Nam * Email: hoangcongtin@ Received: 30 June 2017; Accepted for publication: 16 October 2017 ABSTRACT This review presents synthetic results of remote sensing application in monitoring and management of seagrass beds in the Southeast Asia region. The objective of this paper aims to evaluate the status and potential of using remote sensing technologies in seagrass mapping to enhance its effective utilization and management. The results showed that the number of studies in the application of remote sensing for seagrass are still limited, mainly from 2011 to 2017, which focus on habitat mapping (accounting for 62 %) and other studies on the detection of seagrass change in temporal (38 %). The number of studies on using medium and high resolution remote sensing images are approximately about 50 % and 44 %, respectively. Only 6 % studies used very high resolution remote sensing images. Finally, it is suggested that having more study in seagrass bed mapping by using remote sensing data is significant for understanding the variability of seagrass beds in the coastal areas for effective management and protection in the future. Keywords: remote sensing, seagrass, Southeast Asia region. 1. INTRODUCTION Seagrasses are the aquatic flowering plants that widely distribute in coastal .
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