DocumentCode
3298922
Title
Notice of Retraction
Project trend on coastal wetland change and prediction Tupu models
Author
Jingyi Tian ; Yun Wang
Author_Institution
Dept. of Environ. Sci. & Eng., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
fYear
2010
fDate
25-27 June 2010
Firstpage
309
Lastpage
313
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Land in Qinhuangdao City for the study area, the visual interpretation of the method was used, 2002ETM+ and 2009 Spot remote sensing images were accurately interpreted, and obtained two coastal wetland map information. Through of the changes of coastal wetland during seven years, the dynamic models of coastal wetland area were researched. Finally, the law of coastal wetland area was found in Qinhuangdao City. Driving force factors of land use were processed. The appropriateness was created using Logistic-Markov - Cellular Tupu model. The entire process is integrated, mapped and grided. First Classification of individual has forecasted, further comprehensive analyzed, so prediction accuracy has been increased. Coastal wetland forecast about quantity, spatial distribution and its development trend analysis of Qinhuangdao City in 2016.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Land in Qinhuangdao City for the study area, the visual interpretation of the method was used, 2002ETM+ and 2009 Spot remote sensing images were accurately interpreted, and obtained two coastal wetland map information. Through of the changes of coastal wetland during seven years, the dynamic models of coastal wetland area were researched. Finally, the law of coastal wetland area was found in Qinhuangdao City. Driving force factors of land use were processed. The appropriateness was created using Logistic-Markov - Cellular Tupu model. The entire process is integrated, mapped and grided. First Classification of individual has forecasted, further comprehensive analyzed, so prediction accuracy has been increased. Coastal wetland forecast about quantity, spatial distribution and its development trend analysis of Qinhuangdao City in 2016.
Keywords
geographic information systems; geomorphology; geophysical techniques; lakes; remote sensing; AD 2002; AD 2009; China; ETM+ remote sensing images; Logistic-Markov Cellular-Tupu model; Qinhuangdao City; Spot remote sensing images; coastal wetland change; geographic information system; land use; prediction accuracy; Aircraft; Design optimization; Educational technology; Genetic algorithms; Predictive models; Sea measurements; Simulated annealing; Space technology; Stability; Vehicles; GIS; Logistic-CA-Markov; RS; Tupu-models; pred iction; wetland;
fLanguage
English
Publisher
ieee
Conference_Titel
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7660-2
Type
conf
DOI
10.1109/ICENT.2010.5532165
Filename
5532165
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