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Mapping and Change Detection Analysis of Marine Resources in the Tuticorin and Vembar Group of Island Using Remote Sensing


 
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1. Title Title of document Mapping and Change Detection Analysis of Marine Resources in the Tuticorin and Vembar Group of Island Using Remote Sensing
 
2. Creator Author's name, affiliation, country Blessy Monishiya; Department of Remote Sensing, Anna University of Technology Chennai, Regional Centre Tirunelveli, Tamil Nadu; India
 
2. Creator Author's name, affiliation, country Raj Chandar Padmanaban; Department of Remote Sensing, Anna University of Technology Chennai, Regional Centre Tirunelveli, Tamil Nadu; India
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Remote Sensing, Geographic Information System, Spectral Angular Mapper, Image Classification, Change Detection Analysis, Field Survey.
 
4. Description Abstract

In this project, the Marine Resource Information System has been suggested with the help of Remote Sensing and GIS. The system provides the resources map and statistical data of marine resources present in the Tuticorin and Vembar group of islands. The project is carried out in various islands situated in the Gulf of Mannar region such as Karaichalli Tivu (8º57’, 78º14’) Kasuwar island (8º52’, 78º13’) and Van Tivu (8º50’, 78º13’) and Upputhanni island (9º05’, 78º30’). Satellite Remote Sensing is a resourceful tool that has been adopted increasingly for the discovering, narrative, quantification, monitoring and management of the marine resources. The classification of marine resources are identified and mapped with help of IRS-P6 and IRS-P4 satellite data. The IRS data provides Multi Coverage Information about vegetation and open water vegetation. The various marine resources such as mangroves, sea grass, corals and algae are classified with the assist of Digital Image Classification techniques such as Unsupervised, Maximum likelihood and Spectral Angular Mapper. The several year satellite data of various islands are analyzed with the aid of Geographical Information System environment. The change detection analysis generated with the facility of GIS analysis such Statistical analysis and Proximity analysis. Finally Resources Map and Statistical Graphs for various islands are produced with the help of ARCGIS and ENVI.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2012-10-01
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://scientific.cloud-journals.com/index.php/IJAFSM/article/view/Sci-18
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Forest Science and Management; Published Papers
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions

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