P. J. Almeida, P. Relvas, L. Silva, X. F. Catry, C. F. Rego and A. T. Santos, “Wildfires Portuguese Lookout Towers Network Optimization Using Automatic Positioning Algorithms,” Proceedings of the International Wild Land Fire Conference, Seville, 13-17 May 2007. - References

Browse Menu >>

Browse Subjects >>

Computer Science & Communications

Earth & Environmental Sciences

Social Sciences & Humanities

Why Us? >>

- Open Access
- Peer-reviewed
- Rapid publication
- Lifetime hosting
- Free indexing service
- Free promotion service
- More citations
- Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

Contact Us >>

customer@scirp.org

+86 18163351462(WhatsApp)

1655362766

Paper Publishing WeChat

Book Publishing WeChat

(or Email:book@scirp.org)

Article citations
More>>

P. J. Almeida, P. Relvas, L. Silva, X. F. Catry, C. F. Rego and A. T. Santos, “Wildfires: Portuguese Lookout Towers Network Optimization Using Automatic Positioning Algorithms,” Proceedings of the International Wild Land Fire Conference, Seville, 13-17 May 2007.

has been cited by the following article:

TITLE: Geospatial Model as Strategy to Prevent Forest Fires: A Case Study

AUTHORS: Marín Pompa-García, Maico Zapata-Molina, Ciro Hernández-Díaz, Efraín Rodríguez-Téllez

KEYWORDS: Viewshed Analysis; Watchtowers; Forest Fires

JOURNAL NAME: Journal of Environmental Protection, Vol.3 No.9, September 25, 2012

ABSTRACT: The forests of the State of Durango have been severely affected by fires in recent years. Early detection of fires through watchtowers is essential. In this work a geospatial model was generated to optimize strategic visualization points, using a GIS environment. Analysis of the area of visibility was developed by integrating a digital model of elevation and a plant cover map. The resulting distribution generates more than 50% coverage of the studied area, in points that were not always the highest. It was concluded that this strategy would permit to increase the efficiency, mainly favoring the communities of pine, whose economic importance would justify the required investment.