Evaluation of ocean color products from Korean Geostationary Ocean Color Imager (GOCI) in Jiaozhou Bay and Qingdao coastal area

Author(s):  
Qian Yang ◽  
Libin Du ◽  
Xiaoyan Liu ◽  
Lianbo Hu ◽  
Shuguo Chen ◽  
...  
2015 ◽  
Vol 14 (8) ◽  
pp. 1897-1903 ◽  
Author(s):  
Zhao Jun Song ◽  
Li Ming Gong ◽  
Qiao Chen ◽  
Zhen Kui Gu ◽  
Luo Gao ◽  
...  
Keyword(s):  

Author(s):  
H. Zhu ◽  
B. Xing ◽  
S. Ni ◽  
P. Wei

In recent years, with the rapid development of the Jiaozhou Bay area of Qingdao, the influence of human activities on the coastline of Jiaozhou Bay is becoming more and more serious. Based on the high resolution remote sensing image data of 10 periods from 2001 to 2017 in the Jiaozhou Bay area, and combined with the data of on-the-spot survey and expert knowledge, this paper have completed the interpretation and extraction of coastline data of each year, and analyzed the distribution, size, rate of change, and trend of the increase and decrease of the coastal area of Jiaozhou Bay in different time periods, combined with the economic construction and the marine hydrodynamic environment of the region to analyze the reasons for the change of the coastline of Jiaozhou Bay. The results show that the increase and reduction of the coastal area of Jiaozhou Bay was mainly affected by human activities such as sea reclamation and marine aquaculture, resulting in a gradual change in the rate of increase and decrease with human development. For coastal advance part,2001&amp;ndash;2013, the average increase rate on the coastal area of Jiaozhou Bay was 2.30&amp;thinsp;km<sup>2</sup>/a, showing a trend of rapid growth, 2013&amp;ndash;2017 the average increase rate of 0.53&amp;thinsp;km<sup>2</sup>/a, and the growth rate slowed down. For coastal retreat part, 2001&amp;ndash;2013, the average decrease rate was 2.58&amp;thinsp;&amp;times;&amp;thinsp;10<sup>&amp;minus;3</sup>&amp;thinsp;km<sup>2</sup>/a. 2013&amp;ndash;2014, the decrease rate reached a peak value of 1.11&amp;thinsp;km<sup>2</sup>/a. 2014&amp;ndash;2017, the average decrease rate was 0.14&amp;thinsp;km<sup>2</sup>/a. The decrease rate shows a trend of increasing first and then slowing down.


SIMBIOSA ◽  
2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Yarsi Efendi ◽  
Dahrul Aman Harahap

Structure and physiognomy of mangrove strongly influenced by the zonation that occurred in the area of mangroves growth. The differences of zona growth will effect  to differences in the structure and composition of vegetation. There are three zones in the mangrove area, which is caused by the difference of flooding which also resulted in the difference to the salinity. The differences of growth zone will performed to the type vegetation performance (Physiognomy). This study is aims to prove the mangrove’s physiognomy that taken in the coastal area of Rempang Cate  Batam, on March 2014 to June 2014. This study was a survey with data collection using a vertical transect plots 100 m. Based on the research that has been done obtained difference vegetation physiognomy stands for every level of growth in each zone growth. Proximally found 13 species of mangroves in 8 families. The results of the analysis of the vegetation on the trees growth level are, Ceriops decandra have the greatest significance important value 167.55% on sapling (juvenille ) level is dominated by Rhizophora apiculata 120%, and seedling growth level dominated by Rhizophora apiculata  186.80%. Keywords: Structure and physiognomy, mangrove zonation


2017 ◽  
Vol 10 (1) ◽  
pp. 57-62
Author(s):  
Uihwan KWAK ◽  
Wonkeun JANG ◽  
Inwoo HAN ◽  
Kyounghoon LEE
Keyword(s):  

2012 ◽  
Vol 132 (6) ◽  
pp. 560-567 ◽  
Author(s):  
Megumu Miki ◽  
Toru Miki ◽  
Akira Asakawa ◽  
Takatoshi Shindo ◽  
Shigeru Yokoyama

2011 ◽  
Vol 131 (12) ◽  
pp. 973-978 ◽  
Author(s):  
Fumiyuki Fujii ◽  
Masaru Ishii ◽  
Mikihisa Saito ◽  
Michihiro Matsui ◽  
Daisuke Natsuno

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