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UWP application for fire prediction using logistic regression.

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Fire prediction - Bosnia & Herzegovina

Implementation of logistic regression use in fire prediction over territory of Bosnia & Herzegovina.

Sample dataset created using NASA GSFC Giovanni web application (https://giovanni.gsfc.nasa.gov/giovanni/) in the form of daily area-averaged time series in period of 31.7.2010 to 31.7.2020, it’s analyzed and preprocessed before it is used as input for logit model.

Two features left for implementation:

  • independent variable statistic tests
  • input validation

It's UWP based application created using Visual Studio 2019.

NASA dataset cites

AIRS Science Team/Joao Teixeira (2013), AIRS/Aqua L3 Daily Standard Physical Retrieval (AIRS-only) 1 degree x 1 degree V006, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: 10.09.2020 doi:10.5067/Aqua/AIRS/DATA303

Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2019), GPM IMERG Late Precipitation L3 1 day 0.1 degree x 0.1 degree V06, Edited by Andrey Savtchenko, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: 12.09.2020, 10.5067/GPM/IMERGDL/DAY/06

Global Modeling and Assimilation Office (GMAO) (2015), MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: 06-07.10.2020, 10.5067/7MCPBJ41Y0K6