ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 5, pp. 9-27

Use of remote sensing data in wildfire modelling

S.A. Khvostikov 1, 2 , S.А. Bartalev 1, 2 
1 Space Research Institute RAS, Moscow, Russia
2 Center for Forest Ecology and Productivity RAS, Moscow, Russia
Accepted: 11.09.2021
DOI: 10.21046/2070-7401-2021-18-5-9-27
Wildfire modelling can be used to evaluate fire threat level and support fire related decisions. State-of-the-art wildfires model produce accurate forecast of fire spread if provided with timely and accurate input data. Model input data can be provided by remote sensing (RS). This article gives short summary on wildfire modelling methods, methods to evaluate fire and fuel characteristics from RS and reviews multiple applications of RS data in wildfire modelling. RS data provides information on fire characteristics for every point on Earth, forming the basis for global or regional (national) wildfire modelling systems. Development of wildfire modelling and RS methods expanded opportunities for model accuracy estimation and model parameters evaluation. Joint use of RS data and model forecast form the basis for data assimilations methods which can further increase model accuracy.
Keywords: wildfire modelling, hotspots, burns, classification, accuracy estimation, data assimilation
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