Seagrass Mapping

2018 ◽  
pp. 147-162 ◽  
Author(s):  
Matthew P. J. Oreska ◽  
Karen J. McGlathery ◽  
Robert J. Orth ◽  
Dave J. Wilcox
Keyword(s):  
2020 ◽  
Vol 250 ◽  
pp. 112036 ◽  
Author(s):  
Megan M. Coffer ◽  
Blake A. Schaeffer ◽  
Richard C. Zimmerman ◽  
Victoria Hill ◽  
Jiang Li ◽  
...  
Keyword(s):  

2016 ◽  
Author(s):  
Konstantinos Topouzelis ◽  
Spyridon Charalampis Spondylidis ◽  
Apostolos Papakonstantinou ◽  
Nikolaos Soulakellis
Keyword(s):  

2015 ◽  
Vol 21 (2) ◽  
pp. 113 ◽  
Author(s):  
Leela Rajamani ◽  
Helene Marsh

Knowledge of the distribution and relative abundance of seagrass communities in the Coral Triangle is limited, despite their global significance and the vital ecosystem services they perform for local human populations, threatened species such as dugongs and green turtles, as well as the role of being a globally significant carbon stock. To address this gap and investigate cost-effective methods in data-poor regions, we conducted seagrass mapping near two islands off the coast of Sabah in Malaysia: Banggi Island (7°15′N, 117°12′E) and Mantanani Island (6°43′N, 116°21′E). We used a staged approach that included: (1) interview surveys, (2) manta tow and spot surveys, and (3) comprehensive transect surveys. Approximately 415 ha and 112 ha of seagrass meadows were mapped off Banggi Island and Mantanani Island respectively. We found 10 species of seagrasses from two families: Halophila ovalis, Halodule uninervis (broad and thin leaf varieties), Thalassia hemprichii, Cymodocea rotundata, Halophila decipiens, Halophila spinulosa, Cymodocea serrulata, Syringodium isoetifolium, Enhalus acoroides and Halophila sp. nov. Our methodology proved cost-effective and the resultant information should be relevant to conservation planners.


Author(s):  
Despina Makri ◽  
Panagiotis Stamatis ◽  
Michaela Doukari ◽  
Apostolos Papakonstantinou ◽  
Christos Vasilakos ◽  
...  

2015 ◽  
Vol 21 (1) ◽  
pp. 37 ◽  
Author(s):  
Agnestesya Manuputty ◽  
Jonson Lumban Gaol ◽  
Syamsul Bahri Agus

Seagrass has an important role in coastal areas, so it’s sustainability need to be maintained. One effort to preserve it is sustainable manner management of segrass based on the spatial data using remote sensing techniques. The aim of this study was to map seagrass ecosystems and to determining the accuracy level from classification results that obtained by the WorldView-2 images. This study was conducted in Karang Bongkok and Kotok Islands in August 2014 and March 2015. The satellite images data used on this study was WorldView-2 satellite images at the acquisition date of October 5, 2013. The method used to conduct image processing data is Depth Invariant Index (DII) using Support Vector Machine (SVM) classification. The result shows that seagrass mapping in Karang Bongkok and Kotok Islands using DII transformation has 19.5112 ha areas with 72% accuracy on Karang Bongkok Island and 2.5704 ha areas with of 83% accuracy on Kotok Island. Key words: Seagrass mapping, DII, SVM, Karang Bongkok, Kotok Island.


2015 ◽  
Vol 7 (3) ◽  
pp. 189-202 ◽  
Author(s):  
Mohammad Shawkat Hossain ◽  
Japar Sidik Bujang ◽  
Muta Harah Zakaria ◽  
Mazlan Hashim

Author(s):  
Katja Kuhwald ◽  
Jens Schneider von Deimling ◽  
Philipp Schubert ◽  
Natascha Oppelt

2014 ◽  
Vol 51 (2) ◽  
pp. 120-138 ◽  
Author(s):  
Hyun Jung Cho ◽  
Igor Ogashawara ◽  
Deepak Mishra ◽  
Joseph White ◽  
Andrew Kamerosky ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document