Verification of two machine learning approaches for cloud masking based on reflectance of channel IR3.9 using Meteosat Second Generation over Middle East maritime-Reference-Cited by-同舟云学术

Verification of two machine learning approaches for cloud masking based on reflectance of channel IR3.9 using Meteosat Second Generation over Middle East maritime

Published:2019-06-09 Issue: Volume: Page:1-15
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Hadizadeh Mostafa¹^ORCID,Rahnama Mehdi²^ORCID,Hesari Behnam³

Affiliation:

1. Weather Forecasting Centre, I.R. IRAN Meteorological Organization (IRIMO), Tehran, Iran

2. Department of atmospheric surveys research, Atmospheric Science and Meteorological Research Centre (ASMERC), Tehran, Iran

3. Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1624863

Reference31 articles.

1. Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS: 1. Data and models

2. An automated day-time cloud detection technique applied to MSG-SEVIRI data over Western Europe

3. A method of choosing multiway partitions for classification and decision trees

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