Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota

By Corcoran Jennifer M.   Knight Joseph F.   Gallant Alisa L.  

Remote Sensing, Vol. 5, Iss. 7, 2013-07 ,pp. : 3212-3238

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On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping

By Millard Koreen   Richardson Murray  

Remote Sensing, Vol. 7, Iss. 7, 2015-07 ,pp. : 8489-8515

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Random Forest Classification of Wetland Landcovers from Multi-Sensor Data in the Arid Region of Xinjiang, China

By Tian Shaohong   Zhang Xianfeng   Tian Jie   Sun Quan  

Remote Sensing, Vol. 8, Iss. 11, 2016-11 ,pp. : 954-954

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Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA

By Hao Pengyu   Zhan Yulin   Wang Li   Niu Zheng   Shakir Muhammad  

Remote Sensing, Vol. 7, Iss. 5, 2015-04 ,pp. : 5347-5369

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Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

By Immitzer Markus   Atzberger Clement   Koukal Tatjana  

Remote Sensing, Vol. 4, Iss. 9, 2012-09 ,pp. : 2661-2693

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