Monitoring Study on the Influence of Hainan International Tourism Island Construction to the Mangrove Forest Based on RS and GIS

Article Preview

Abstract:

Mangrove forest has various functions, such as wind and wave prevention, embankment protection, biodiversity and ecological balance maintenance, which is with high value in the ecological, social and economic. Hainan is the region where the type of Mangrove forest is most abundant, its area is biggest, its growth vigor is best. Hainan mangrove forest is very important to the ecological, scientific research and tourism. Hainan International Tourism Island Construction, which had been proved by state council, will bring great influence on the quality and range of Hainan mangrove forest. It is with positive guiding significance to the changing monitoring of mangrove forest and projection measures making to obtain the distribution information of Hainan mangrove forest and other land cover types, compare and analysis the area changing of all kind of land cover types based on Remote Sensing and Geographic Information System.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

33-38

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Information on http: /news. ifeng. com/mainland/201001/0104_17_1497702. shtml. The State Council announced construction of the Hainan Island, the views of international tourism. (in Chinese).

Google Scholar

[2] LIN Peng. several problems of The mangrove wetland and ecological engineering. Chinese Project Science, 2003. 5(6): 33-38. (in Chinese).

Google Scholar

[3] LIU Xiao-wei, ZHEN Wen-jiao, SUN Juan. Global climate change and mangrove. Chinese Journal of Ecology, 2006, 25(11): 1418-1420. (in Chinese).

Google Scholar

[4] SHAN Jia-lin, ZHENG Xue-qin. Preliminary Studies on Flora of Mangrove Forest in Hainan Island. Tropical Forest, 2005, 33(3): 8-12. (in Chinese).

Google Scholar

[5] XIN Kun, HUANG Xing. Landscape Change of the Mangrove Forest in Dongzhai Harbor of Hainan and its Driving Forces. Wetland Science & Management, 2009, 5(2): 56-57. (in Chinese).

Google Scholar

[6] XIN Kun, Huang Xing, ZHANG Shu-ping. Assessment of Ecological Functions of Mangrove Wetland in Dongzhai Port of Hainan. Wetland Science & Management, 2008, 4(4): 28-31. (in Chinese).

Google Scholar

[7] Volker Walter. Object-based classification of Remote Sensing data for change detection. Photegrammetry and Remote Sensing, 2004, pp.225-238.

DOI: 10.1016/j.isprsjprs.2003.09.007

Google Scholar

[8] P.G. Silva, J.R. Santos, Y.E. Shimabukuro, P.E.U. Souza. Change Vector Analysis technique to monitor selective logging activities in Amazon. IEEE, 2003, pp.2580-2582.

DOI: 10.1109/igarss.2003.1294515

Google Scholar

[9] Myneni R B, Hoffman S, Knyazikhin Y, et al. Global product of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment, 2002, pp.214-231.

DOI: 10.1016/s0034-4257(02)00074-3

Google Scholar

[10] ZHANG Bao-lei, SONG Meng-qiang, ZHOU Wan-cun. Expoloration on Method of Auto-classification Based on GIS for the Main Ground Objects of the Three Gorges Reservoir Area. Remote Sensing Technology and Application, 2006, pp.71-76. (in Chinese).

DOI: 10.1007/s11769-005-0009-7

Google Scholar

[11] DENG Guo-fang. The application of RS Technology in the Mangrove Forest Resrouce Investigation. Central South Forest Inventory and Planning, 2002, 21(1): 27-28. (in Chinese).

Google Scholar

[12] ZHANG Wei, LAN Zhang-ren, LI Zheng, ZHANG Dong-shu. Preprocessing of QuickBird remote sensing image for mangrove study. Jour of Fujian Forestry Sci and Tech, 2006, 33(4): 77-81. (in Chinese).

Google Scholar

[13] YU Xiang, ZHAO Dong-zhi, ZHANG Feng-shou, XIAO Zhong-feng. Study on remote sensing image NN classification techniques.

Google Scholar

[14] ofmangrove landscape character. MARINE ENVIRONMENTAL SCIENCE, 2006, 26(6): 576-579. (in Chinese).

Google Scholar

[15] WANG Feng-xia, ZHOU Wan-cun. Study on Land Use /Cover Change in Sichuan Province Based on RS and GIS, IFCSTA09, pp: 207-210.

Google Scholar

[16] WANG Feng-xia, ZHOU Wan-cun. The Study on the Computer Automatic Classification of Land Cover in Chongqing Based on RS and GIS, IFCSTA0, pp: 211-214.

Google Scholar

[17] WANG Feng-xia, ZHOU Wan-cun. The Study on the Land Use/Land Cover Changes in Three Gorges Reservoir Region Based on RS and GIS in the Last Decade, CISP09, pp: 3009-3013.

DOI: 10.1109/isise.2008.26

Google Scholar

[18] WANG Feng-xia, ZHOU Wan-cun. The Study on Land Use Changes of Wenchuan Disaster Area based on RS and GIS, CISP09, pp: 3468-3472.

Google Scholar