Monitoring of an Indonesian Tropical Wetland by Machine Learning-Based Data Fusion of Passive and Active Microwave Sensors

In this study, a novel data fusion approach was used to monitor the water-body extent in a tropical wetland (Lake Sentarum, Indonesia). Monitoring is required in the region to support the conservation of water resources and biodiversity. The developed approach, random forest database unmixing (RFDBU...

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Bibliographic Details
Main Authors: Hiroki Mizuochi, Chikako Nishiyama, Iwan Ridwansyah, Kenlo Nishida Nasahara
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/8/1235