Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers

Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers

This study proposes a new water body classification method using top-of-atmosphere (TOA) reflectance and water indices (WIs) of the Landsat 8 Operational Land Imager (OLI) sensor and its corresponding random forest classifiers. In this study, multispectral images from the OLI sensor are represented...

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Bibliographic Details
Main Authors: Byoung Chul Ko, Hyeong Hun Kim, Jae Yeal Nam
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Sensors
Subjects:
Landsat 8
OLI sensor
water body classification
boosted random forest
Online Access:http://www.mdpi.com/1424-8220/15/6/13763

Internet

http://www.mdpi.com/1424-8220/15/6/13763

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