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Pregled bibliografske jedinice broj: 442169

Detecting forest fires at the Croatian Adriatic coast by means of 3.9 micron SEVIRI data


Strelec Mahović, Nataša
Detecting forest fires at the Croatian Adriatic coast by means of 3.9 micron SEVIRI data // Proceedings of the First International Conference on Remote Sensing Techniques in Disaster Manegement and Emergency Response in the Mediterranean Region, Zadar, Croatia, 22-24 September 2008 / Marinko Oluić (ur.).
Zagreb: European Association of Remote Sensing Laboratories (EARSeL), 2009. str. 127-132 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 442169 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Detecting forest fires at the Croatian Adriatic coast by means of 3.9 micron SEVIRI data

Autori
Strelec Mahović, Nataša

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the First International Conference on Remote Sensing Techniques in Disaster Manegement and Emergency Response in the Mediterranean Region, Zadar, Croatia, 22-24 September 2008 / Marinko Oluić - Zagreb : European Association of Remote Sensing Laboratories (EARSeL), 2009, 127-132

ISBN
978-953-154-876-2

Skup
First International Conference on Remote Sensing Techniques in Disaster Manegement and Emergency Response in the Mediterranean Region

Mjesto i datum
Zadar, Hrvatska, 22.09.2008. - 24.09.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
forest fires; 3.9 micron SEVIRI data

Sažetak
Meteosat second generation images can be successfully used for the detection and positioning of the forest and vegetation fire, due to very high sensitivity of the 3.9 micron channel to high temperatures.The main disadvantage is rather low spatial resolution, due to which the size of the fire cannot be precisely determined. In addition, the presence of the clouds above the fire can completely eliminate the effect of high temperature on the ground, making the hot spots invisible to the 3.9 micron channel. The advantage of the Meteosat data is high temporal resolution, which enables tracking of the changes with only 15 minutes interval between the images. The work shows practical application of the properties of the 3.9 micron channel for the detection of the fires on the Croatian Adriatic coast and the adjacent regions.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



POVEZANOST RADA


Projekti:
004-1193086-3036 - Oluje i prirodne katastrofe u Hrvatskoj (Ivančan-Picek, Branka, MZOS ) ( CroRIS)

Ustanove:
Državni hidrometeorološki zavod

Profili:

Avatar Url Nataša Strelec-Mahović (autor)


Citiraj ovu publikaciju:

Strelec Mahović, Nataša
Detecting forest fires at the Croatian Adriatic coast by means of 3.9 micron SEVIRI data // Proceedings of the First International Conference on Remote Sensing Techniques in Disaster Manegement and Emergency Response in the Mediterranean Region, Zadar, Croatia, 22-24 September 2008 / Marinko Oluić (ur.).
Zagreb: European Association of Remote Sensing Laboratories (EARSeL), 2009. str. 127-132 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Strelec Mahović, N. (2009) Detecting forest fires at the Croatian Adriatic coast by means of 3.9 micron SEVIRI data. U: Marinko Oluić (ur.)Proceedings of the First International Conference on Remote Sensing Techniques in Disaster Manegement and Emergency Response in the Mediterranean Region, Zadar, Croatia, 22-24 September 2008.
@article{article, author = {Strelec Mahovi\'{c}, Nata\v{s}a}, year = {2009}, pages = {127-132}, keywords = {forest fires, 3.9 micron SEVIRI data}, isbn = {978-953-154-876-2}, title = {Detecting forest fires at the Croatian Adriatic coast by means of 3.9 micron SEVIRI data}, keyword = {forest fires, 3.9 micron SEVIRI data}, publisher = {European Association of Remote Sensing Laboratories (EARSeL)}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {Strelec Mahovi\'{c}, Nata\v{s}a}, year = {2009}, pages = {127-132}, keywords = {forest fires, 3.9 micron SEVIRI data}, isbn = {978-953-154-876-2}, title = {Detecting forest fires at the Croatian Adriatic coast by means of 3.9 micron SEVIRI data}, keyword = {forest fires, 3.9 micron SEVIRI data}, publisher = {European Association of Remote Sensing Laboratories (EARSeL)}, publisherplace = {Zadar, Hrvatska} }




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