An Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA

Mapping Selective Logging in Mixed Deciduous Forest

(2013) Christopher D. Lippitt et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Improved Land Cover Mapping using Random Forests Combined with Landsat Thematic Mapper Imagery and Ancillary Geographic Data

(2013) Xiaodong Na et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Incorporating the Downscaled Landsat TM Thermal Band in Land-cover Classification using Random Forest

(2013) V.F. Rodríguez-Galiano et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Improving forest type discrimination with mixed lifeform classes using fuzzy classification thresholds informed by field observations

(2011) J. Rogan et al.   CANADIAN JOURNAL OF REMOTE SENSING

A Comparison of Multisensor Integration Methods for Land Cover Classification in the Brazilian Amazon

(2011) Dengsheng Lu et al.   GIScience & Remote Sensing

Application of Spectral and Environmental Variables to Map the Kissimmee Prairie Ecosystem Using Classification Trees

(2011) Sean Griffin et al.   GIScience & Remote Sensing

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

(2011) Mikel Galar et al.   PATTERN RECOGNITION

Continuous fields of land cover for the conterminous United States using Landsat data: first results from the Web-Enabled Landsat Data (WELD) project

(2011) Matthew C. Hansen et al.   Remote Sensing Letters

Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic

(2011) B. Ghimire et al.   Remote Sensing Letters

Robust ensemble learning for mining noisy data streams

(2010) Peng Zhang et al.   DECISION SUPPORT SYSTEMS

Classification in conservation biology: A comparison of five machine-learning methods

(2010) Christian Kampichler et al.   Ecological Informatics

Predicting the potential habitat of oaks with data mining models and the R system

(2010) Rafael Pino-Mejías et al.   ENVIRONMENTAL MODELLING & SOFTWARE

The multispectral separability of Costa Rican rainforest types with support vector machines and Random Forest decision trees

(2010) Steven E. Sesnie et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The effects of rectification and Global Positioning System errors on satellite image-based estimates of forest area

(2010) Ronald E. McRoberts   REMOTE SENSING OF ENVIRONMENT

Mapping land-cover change in a Haitian watershed using a combined spectral mixture analysis and classification tree procedure

(2009) Anna Versluis et al.   Geocarto International

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT

Mapping land-cover modifications over large areas: A comparison of machine learning algorithms

(2008) John Rogan et al.   REMOTE SENSING OF ENVIRONMENT