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Research Papers

Land cover classification using moderate resolution satellite imagery and random forests with post-hoc smoothing

Pages 323-337 | Published online: 13 Aug 2013

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Horia G. Olariu, Lonesome Malambo, Sorin C. Popescu, Clifton Virgil & Bradford P. Wilcox. (2022) Woody Plant Encroachment: Evaluating Methodologies for Semiarid Woody Species Classification from Drone Images. Remote Sensing 14:7, pages 1665.
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Xinrong Yan & Juanle Wang. (2021) Dynamic monitoring of urban built-up object expansion trajectories in Karachi, Pakistan with time series images and the LandTrendr algorithm. Scientific Reports 11:1.
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Ankita Jain & Dharmendra Singh. (2019) An optimal selection of probability distribution functions for unsupervised land cover classification of PALSAR-2 data. Advances in Space Research 63:2, pages 813-825.
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Fuqun Zhou & Aining Zhang. (2016) Optimal Subset Selection of Time-Series MODIS Images and Sample Data Transfer with Random Forests for Supervised Classification Modelling. Sensors 16:11, pages 1783.
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X.Y. Wang, Y.G. Guo, J. He & L.T. Du. (2016) Fusion of HJ1B and ALOS PALSAR data for land cover classification using machine learning methods. International Journal of Applied Earth Observation and Geoinformation 52, pages 192-203.
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Charlotte E. L. Whitham, Kun Shi & Philip Riordan. (2015) Ecosystem Service Valuation Assessments for Protected Area Management: A Case Study Comparing Methods Using Different Land Cover Classification and Valuation Approaches. PLOS ONE 10:6, pages e0129748.
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Bin Yang, Chunxiang Cao, Ying Xing & Xiaowen Li. (2015) Automatic Classification of Remote Sensing Images Using Multiple Classifier Systems. Mathematical Problems in Engineering 2015, pages 1-10.
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