NDLI: Real time detection of forest fires and volcanic eruptions from Meteosat Second Generation images using a neural network

Content Provider	IEEE Xplore Digital Library
Author	Avanthey, L. Germain, V. Gademer, A. Beaudoin, L. Rudant, J.P.
Copyright Year	2010
Description	Author affiliation: Pôle Acquisition et Traitements des Images et des Signaux (ATIS), École Supérieure d'Informatique d'Électronique et d'Automatique (ESIEA), France (Avanthey, L.; Germain, V.; Gademer, A.; Beaudoin, L.) \|\| Laboratoire Géomatique, Télédétection et Modélisation des Connaissances (GMTC), Université de Marne-la-Vallée, France (Rudant, J.P.)
Abstract	One of the most important parameters in the estimation of the evolution of global change is the gas composition of the atmosphere and its temporal variation. Amongst the various and complex processes that absorb or produce gases, the biomass burning has very important short and long term effects [1]. Remote sensing plays a key role in monitoring these effects [2], but you have to make a compromise in temporal, spectral and spatial resolution [3, 4]. As burning savannas represents the main contribution to global biomass burning, monitoring Africa becomes a priority. Because of its near real time imaging capacities and its position over the African Continent, Meteosat Second Generation (MSG) appears to be a very adapted satellite to efficiently do this task[5]. The approach described in this article is based on an undergraduate project which test the potentiality of neural network for hot spot detection in MSG images. The main authors are the undergraduate student that have achieved this promising project.
Starting Page	1107
Ending Page	1110
File Size	268660
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5653913
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Satellites Software Monitoring Volcanoes Fires Real time systems five One two three four
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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