Predicting the minimum height of forest fire smoke within the atmosphere using machine learning and data from the CALIPSO satellite

Author:

Yao JiayunORCID,Raffuse Sean M.,Brauer MichaelORCID,Williamson Grant J.,Bowman David M.J.S.,Johnston Fay H.,Henderson Sarah B.

Funder

Australian Research Council

British Columbia Lung Association

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference68 articles.

1. The use of an atmospheric dispersion model to determine influence regions in the Prince George, BC airshed from the burning of open wood waste piles;Ainslie;J. Environ. Manag.,2009

2. Evaluation of CALIPSO's Aerosol Classification Scheme during the ACEMED experimental campaign over Greece: the case study of 9th of September 2011;Amiridis,2013

3. Epidemiological time series studies of PM2. 5 and daily mortality and hospital admissions: a systematic review and meta-analysis;Atkinson;Thorax,2014

4. The State of British Columbia's Forests;B.C. Ministry of Forests,2010

5. Random forests;Breiman;Mach. Learn.,2001

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