Opportunities and problems of using remote sensing data (RSD) in monitoring forest fires

2015 ◽  
Vol 3 (4) ◽  
pp. 58-62 ◽  
Author(s):  
V. Kostilev ◽  
Yu. Pokidisheva ◽  
K. Barsukov
Keyword(s):  
Remote Sensing ◽  
Forest Fires ◽  
Remote Sensing Data ◽  
Sensing Data

Estimation of area burned by forest fires in Mediterranean countries: A remote sensing data mining perspective

2011 ◽  
Vol 262 (8) ◽  
pp. 1597-1607 ◽  
Author(s):  
Carmen Quintano ◽  
Alfonso Fernández-Manso ◽  
Alfred Stein ◽  
Wietske Bijker
Keyword(s):  
Remote Sensing ◽  
Data Mining ◽  
Forest Fires ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Area Burned ◽  
Mediterranean Countries

scholarly journals Risk prediction of forest fires based on the Remote sensing data

2014 ◽  
Vol 6 (29) ◽  
pp. 170
Author(s):  
Olga Vladimirovna Brovkina ◽  
Frantisek Zemek
Keyword(s):  
Remote Sensing ◽  
Risk Prediction ◽  
Forest Fires ◽  
Remote Sensing Data ◽  
Sensing Data

Estimation of gases emitted by forest fires based on remote sensing data

2015 ◽  
Vol 27 (2) ◽  
pp. 369-378 ◽  
Author(s):  
Qiang Wang ◽  
Futao Guo ◽  
Haiqing Hu ◽  
Sen Jin ◽  
Zhangwen Su
Keyword(s):  
Remote Sensing ◽  
Forest Fires ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals Research database of burnt areas over Russia based on high resolution remote sensing data

2021 ◽  
Author(s):  
A.V. Kashnitskii ◽  
I.V. Balashov ◽  
I.A. Saigin ◽  
F.V. Stytsenko ◽  
E.A. Loupian
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Forest Fires ◽  
Method Development ◽  
Remote Sensing Data ◽  
Mapping Method ◽  
Research Database ◽  
Sensing Data ◽  
Fully Automatic ◽  
Burnt Areas

The paper presents the sample database of vegetation cover damaged by wildfires, obtained from high spatial resolution remote sensing data (up to 10 meters per pixel). At the time of publication, more than 6 thousand fires with a total area of more than 12 million ha were mapped and confirmed with the focus on forest fires. The database covers the period from 2009 to 2020 and is constantly being updated. The presented database may be of interest for various scientific wildfire researches and can be used as training basis for a fully automatic high-resolution fire mapping method development.

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