European Forest Fire Information System (EFFIS)—rapid damage assessment: Appraisal of burnt area maps in southern Europe using MODIS data (2003–2005)

2006 ◽  
Vol 234 ◽  
pp. S218 ◽  
Author(s):  
Paulo Barbosa ◽  
Jan Kucera ◽  
Peter Strobl ◽  
Peter Vogt ◽  
Andrea Camia ◽  
...  
Keyword(s):  
Information System ◽  
Forest Fire ◽  
Damage Assessment ◽  
Southern Europe ◽  
Burnt Area ◽  
Modis Data ◽  
European Forest ◽  
Fire Information

Fire danger rating in the European Forest Fire Information System (EFFIS): Current developments

2006 ◽  
Vol 234 ◽  
pp. S20 ◽  
Author(s):  
Andrea Camia ◽  
Paulo Barbosa ◽  
Giuseppe Amatulli ◽  
Jesús San-Miguel-Ayanz
Keyword(s):  
Information System ◽  
Forest Fire ◽  
Fire Danger ◽  
European Forest ◽  
Fire Information

Design and Function of the European Forest Fire Information System

2013 ◽  
Vol 79 (10) ◽  
pp. 965-973 ◽  
Author(s):  
Daniel McInerney ◽  
Jesus San-Miguel-Ayanz ◽  
Paolo Corti ◽  
Ceri Whitmore ◽  
Cristiano Giovando ◽  
...  
Keyword(s):  
Information System ◽  
Forest Fire ◽  
European Forest ◽  
And Function ◽  
Fire Information

Forest Fire Information System Using Wireless Sensor Network

2019 ◽  
pp. 894-911 ◽  
Author(s):  
Devadevan V. ◽  
Suresh Sankaranarayanan
Keyword(s):  
Information System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Forest Fire ◽  
Detection System ◽  
Fire Detection ◽  
Wireless Sensor ◽  
Fire Detection System ◽  
Fire Information ◽  
Forest Fire Detection

Forest fire is the most common hazard which is a great threat to the ecosystem. Remote Sensing and GIS are widely used for forest fire detection. Wireless Sensor Network (WSN) is an emerging technology which is used to monitor environmental parameters towards alerting forest department officers for prevention or control. In this research, the authors developed Forest Fire Information System (FFIS) that provides interface to monitor, assess and analyze the forest fire data emanating from WSN which is a part of Intelligent Forest Fire Detection System. The information system also maintains necessary details of forest fire incidents that can be used for analysis and report generation. It also has a Decision Support System (DSS) integrated into it that can be used by forest officials for strategic planning. This has been developed using PHP and MySQL. This paper is an extension of research work carried about Intelligent Forest Fire Detection System using WSN.

scholarly journals An intercomparison of burnt area estimates derived from key operational products: the Greek wildland fires of 2005–2007

2013 ◽  
Vol 20 (3) ◽  
pp. 397-409 ◽  
Author(s):  
D. P. Kalivas ◽  
G. P. Petropoulos ◽  
I. M. Athanasiou ◽  
V. J. Kollias
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Forest Fires ◽  
New Technologies ◽  
Remote Sensing Data ◽  
The United States ◽  
Geographical Information ◽  
Wildland Fires ◽  
Burnt Area ◽  
European Forest

Abstract. With the support of new technologies such as of remote sensing, today's societies have been able to map and analyse wildland fires at large observational scales. With regards to burnt area mapping in particular, two of the most widely used operational products are offered today by the United States National Aeronautics and Space Administration (NASA) and the European Forest Fires Information System (EFFIS) of the European Commission. In this study, a rigorous intercomparison of the burnt area estimates derived by these two products is performed in a geographical information system (GIS) environment for the Greek fires that occurred from 2005 to 2007. For the same temporal interval, the relationships of the burnt area estimates by each product are examined with respect to land use/cover and elevation derived from CORINE 2000 and the ASTER global digital elevation model (GDEM), respectively. Generally, noticeable differences were found in the burnt area estimates by the two products both spatially and in absolute numbers. The main findings are described and the differences in the burnt area estimates between the two operational datasets are discussed. The lack of precise agreement between the two products which was found does not necessarily mean that one or the other product is inaccurate. Rather, it underlines the requirement for their calibration and validation using high-resolution remote sensing data in future studies. Our work not only builds upon a series of analogous studies evaluating the accuracy of the same or similar operational products worldwide, but also contributes towards the development of standardised validation methodologies required in objectively evaluating such datasets.

Forest Fire Information System Using Wireless Sensor Network

2017 ◽  
Vol 8 (3) ◽  
pp. 52-67 ◽  
Author(s):  
Devadevan V. ◽  
Suresh Sankaranarayanan
Keyword(s):  
Information System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Forest Fire ◽  
Detection System ◽  
Fire Detection ◽  
Wireless Sensor ◽  
Fire Detection System ◽  
Fire Information ◽  
Forest Fire Detection

Forest fire is the most common hazard which is a great threat to the ecosystem. Remote Sensing and GIS are widely used for forest fire detection. Wireless Sensor Network (WSN) is an emerging technology which is used to monitor environmental parameters towards alerting forest department officers for prevention or control. In this research, the authors developed Forest Fire Information System (FFIS) that provides interface to monitor, assess and analyze the forest fire data emanating from WSN which is a part of Intelligent Forest Fire Detection System. The information system also maintains necessary details of forest fire incidents that can be used for analysis and report generation. It also has a Decision Support System (DSS) integrated into it that can be used by forest officials for strategic planning. This has been developed using PHP and MySQL. This paper is an extension of research work carried about Intelligent Forest Fire Detection System using WSN.

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