Using an optimization algorithm to establish a network of video surveillance for the protection of Golden Camellia

The natural environment is facing increasing human disturbance. Many species of flora are extinct or endangered. To improve the efficiency of ecological management and monitoring, this study proposed to establish a video monitoring network to protect a world-famous rare flora: Golden Camellia, in Fangcheng nature reserve, Guangxi Province, China. Based on the model of LSCP (location set covering problem), we attempted to establish full monitoring coverage of camellias while minimizing the number of video cameras. The model was solved by integer programming. In case of multiple solutions, this study proposed two additional criterions, maximize monitoring area and maximize overlapping count, to eliminate suboptimal solutions. The two optimal solutions included 80 cameras covering a monitoring area of over 5500 ha. Together, these cameras are able to monitor 97.2% of golden camellia in the reserve. The study suggests that this location optimization model can be used to improve the conservation effectiveness of rare species.


<b>Citation:</b> Kun Zhang, Zhi Huang, Songlin Zhang, Using an optimization algorithm to establish a network of video surveillance for the protection of Golden Camellia,<i> Ecological Informatics,</i> Volume 42, 2017, Pages 32-37, ISSN 1574-9541,

https://doi.org/10.1016/j.ecoinf.2017.08.004.

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Date (Creation)
2017-03-21T09:00:00
Date (Publication)
2023-11-01T05:47:54
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Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/104781

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Author

Zhang, K.

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Author

Huang, Z.

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Zhang, S.

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Elsevier B.V.

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Ecological Informatics

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Volume 42, November 2017

Page

32-37

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Article submitted to Ecological Informatics journal

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Completed
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Commonwealth of Australia (Geoscience Australia)

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Place and Communities Division

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Huang, Z.

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  • Geoscientific information

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Product data repository: Various Formats

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theme.ANZRC Fields of Research.rdf

  • EARTH SCIENCES

Theme

  • Golden Camellia

Theme

  • location optimisation

Discipline

  • GIS

Keywords

  • Set covering problem

Keywords

  • video surveillence

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  • Published_External

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All rights reserved

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© 2017 Elsevier B.V.

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2018-11-01T00:00:00
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English
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The result of a collaboration with ECNU. The paper is published. Citation: Zhang, K., Huang, Z., Zhang, S., 2017. Using an optimization algorithm to establish a network of video surveillance for the protection of Golden Camellia, Ecological Informatics, 42, 32-37.

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Australian Government Security ClassificationSystem

Edition date
2018-11-01T00:00:00
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https://www.protectivesecurity.gov.au/Pages/default.aspx

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Unclassified

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Metadata identifier
urn:uuid/5c971af2-bd4f-449c-b7b9-68d9a60a6d6a

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GeoNetwork UUID

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English
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UTF8
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Commonwealth of Australia (Geoscience Australia)

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Huang, Z.

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Huang, Z.

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Journal Articles and Conference Papers

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Geoscience Australia - short identifier for metadata record with

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eCatId/104781

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https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/5c971af2-bd4f-449c-b7b9-68d9a60a6d6a

Date info (Creation)
2017-03-21T13:45:33
Date info (Revision)
2017-03-21T13:53:08

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AU/NZS ISO 19115-1:2014

Metadata standard

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ISO 19115-1:2014

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Title

ISO 19115-3

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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

Edition

Version 2.0, September 2018

Citation identifier
https://pid.geoscience.gov.au/dataset/ga/122551

 
 

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GIS Golden Camellia Set covering problem location optimisation video surveillence
theme.ANZRC Fields of Research.rdf
EARTH SCIENCES

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