Data Likelihood of Active Fires Satellite Detection and Applications to Ignition Estimation and Data Assimilation

Autor:	Haley, James, Caus, Angel Farguell, Kochanski, Adam K., Schranz, Sher, Mandel, Jan
Rok vydání:	2018
Předmět:	Statistics - Applications Computer Science - Other Computer Science Electrical Engineering and Systems Science - Image and Video Processing 62F15 65D19
Zdroj:	Advances in Forest Fire Research 2018, edited by D.X. Viegas, Imprensa da Universidade de Coimbra, 1918, pp. 959-968
Druh dokumentu:	Working Paper
DOI:	10.14195/978-989-26-16-506_105
Popis:	Data likelihood of fire detection is the probability of the observed detection outcome given the state of the fire spread model. We derive fire detection likelihood of satellite data as a function of the fire arrival time on the model grid. The data likelihood is constructed by a combination of the burn model, the logistic regression of the active fires detections, and the Gaussian distribution of the geolocation error. The use of the data likelihood is then demonstrated by an estimation of the ignition point of a wildland fire by the maximization of the likelihood of MODIS and VIIRS data over multiple possible ignition points. Comment: 12 pages, 6 figures; VIII International Conference on Forest Fire Research, Coimbra, Portugal, November 2018
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1808.03318 Zobrazit plný text záznamu View this record from Arxiv