Intra-and-Inter Species Biomass Prediction in a Plantation Forest: Testing the Utility of High Spatial Resolution Spaceborne Multispectral RapidEye Sensor and Advanced Machine Learning Algorithms

Modeling Percent Tree Canopy Cover

(2015) John W. Coulston et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Prediction of fishing effort distributions using boosted regression trees

(2014) Candan U. Soykan et al.   ECOLOGICAL APPLICATIONS

Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression

(2014) Elhadi Adam et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

The influence of anthropogenic shoreline changes on the littoral abundance of fish species in German lowland lakes varying in depth as determined by boosted regression trees

(2013) W.-C. Lewin et al.   HYDROBIOLOGIA

Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image

(2013) Samuel Adelabu et al.   Journal of Applied Remote Sensing

Urban vegetation classification: Benefits of multitemporal RapidEye satellite data

(2013) Jan Tigges et al.   REMOTE SENSING OF ENVIRONMENT

Estimating the Above-Ground Biomass in Miombo Savanna Woodlands (Mozambique, East Africa) Using L-Band Synthetic Aperture Radar Data

(2013) João Carreiras et al.   Remote Sensing

The Precision of C Stock Estimation in the Ludhikola Watershed Using Model-Based and Design-Based Approaches

(2013) T. S. Chinembiri et al.   Natural Resources Research

Harvesting tree biomass at the stand level to assess the accuracy of field and airborne biomass estimation in savannas

(2012) Matthew S. Colgan et al.   ECOLOGICAL APPLICATIONS

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data

(2012) Christian Schuster et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A novel application of satellite radar data: measuring carbon sequestration and detecting degradation in a community forestry project in Mozambique

(2012) Edward T.A. Mitchard et al.   Plant Ecology & Diversity

Understanding the relationship between aboveground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa)

(2012) João M.B. Carreiras et al.   REMOTE SENSING OF ENVIRONMENT

Improved Forest Biomass and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data

(2012) Sandra Eckert   Remote Sensing

Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis

(2011) Akin Özçift   COMPUTERS IN BIOLOGY AND MEDICINE

Forest structure and soil fertility determine internal stem morphology of Pedunculate oak: a modelling approach using boosted regression trees

(2011) Vincent Kint et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Spatio-temporal predictive model based on environmental factors for juvenile spotted seatrout in Texas estuaries using boosted regression trees

(2011) John T. Froeschke et al.   FISHERIES RESEARCH

Predicting forest structural parameters using the image texture derived from WorldView-2 multispectral imagery in a dryland forest, Israel

(2011) Ibrahim Ozdemir et al.   International Journal of Applied Earth Observation and Geoinformation

Extracting structural attributes from IKONOS imagery for Eucalyptus plantation forests in KwaZulu-Natal, South Africa, using image texture analysis and artificial neural networks

(2011) M. T. Gebreslasie et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP

(2011) E. M. Adam et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Aboveground biomass estimation in intervened and non-intervened Nothofagus pumilio forests using remotely sensed data

(2011) Marcela Poulain et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimation of tropical forest biomass using Landsat TM imagery and permanent plot data in Xishuangbanna, China

(2011) Cunjian Yang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Determinants of reproductive success in dominant pairs of clownfish: a boosted regression tree analysis

(2011) Peter M. Buston et al.   JOURNAL OF ANIMAL ECOLOGY

Absolute radiometric calibration of the RapidEye multispectral imager using the reflectance-based vicarious calibration method

(2011) Denis Naughton   Journal of Applied Remote Sensing

Benchmark map of forest carbon stocks in tropical regions across three continents

(2011) S. S. Saatchi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest–savanna boundary region of central Africa using multi-temporal L-band radar backscatter

(2011) E.T.A. Mitchard et al.   REMOTE SENSING OF ENVIRONMENT

Dry season mapping of savanna forage quality, using the hyperspectral Carnegie Airborne Observatory sensor

(2011) Nichola M. Knox et al.   REMOTE SENSING OF ENVIRONMENT

Examining the utility of random forest and AISA Eagle hyperspectral image data to predictPinus patulaage in KwaZulu-Natal, South Africa

(2011) Michelle Dye et al.   Geocarto International

The potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass

(2011) Tyas Mutiara Basuki et al.   Geocarto International

Spatial and seasonal distribution of adult Oithona similis in the Southern Ocean: Predictions using boosted regression trees

(2010) Matt H. Pinkerton et al.   DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS

Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests

(2010) Li Guo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

(2010) Scott L. Powell et al.   REMOTE SENSING OF ENVIRONMENT

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Using satellite radar backscatter to predict above-ground woody biomass: A consistent relationship across four different African landscapes

(2009) E. T. A. Mitchard et al.   GEOPHYSICAL RESEARCH LETTERS

A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa

(2009) R. Ismail et al.   International Journal of Applied Earth Observation and Geoinformation

Linking soil bacterial diversity to ecosystem multifunctionality using backward-elimination boosted trees analysis

(2009) Ji-Zheng He et al.   JOURNAL OF SOILS AND SEDIMENTS

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Mapping the height and above‐ground biomass of a mixed forest using lidar and stereo Ikonos images

(2008) B. St‐Onge et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

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