Related references
Note: Only part of the references are listed.Prediction of fishing effort distributions using boosted regression trees
Candan U. Soykan et al.
ECOLOGICAL APPLICATIONS (2014)
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
W. -C. Lewin et al.
HYDROBIOLOGIA (2014)
Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression
Elhadi Adam et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Harvesting tree biomass at the stand level to assess the accuracy of field and airborne biomass estimation in savannas
Matthew S. Colgan et al.
ECOLOGICAL APPLICATIONS (2013)
Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image
Samuel Adelabu et al.
JOURNAL OF APPLIED REMOTE SENSING (2013)
A novel application of satellite radar data: measuring carbon sequestration and detecting degradation in a community forestry project in Mozambique
Edward T. A. Mitchard et al.
PLANT ECOLOGY & DIVERSITY (2013)
Urban vegetation classification: Benefits of multitemporal RapidEye satellite data
Jan Tigges et al.
REMOTE SENSING OF ENVIRONMENT (2013)
Estimating the Above-Ground Biomass in Miombo Savanna Woodlands (Mozambique, East Africa) Using L-Band Synthetic Aperture Radar Data
Joao M. B. Carreiras et al.
REMOTE SENSING (2013)
The Precision of C Stock Estimation in the Ludhikola Watershed Using Model-Based and Design-Based Approaches
T. S. Chinembiri et al.
Natural Resources Research (2013)
Forest structure and soil fertility determine internal stem morphology of Pedunculate oak: a modelling approach using boosted regression trees
Vincent Kint et al.
EUROPEAN JOURNAL OF FOREST RESEARCH (2012)
High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm
Onisimo Mutanga et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2012)
Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP
E. M. Adam et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Aboveground biomass estimation in intervened and non-intervened Nothofagus pumilio forests using remotely sensed data
Marcela Poulain et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data
Christian Schuster et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Modeling Percent Tree Canopy Cover: A Pilot Study
John W. Coulston et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2012)
Understanding the relationship between aboveground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa)
Joao M. B. Carreiras et al.
REMOTE SENSING OF ENVIRONMENT (2012)
The potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass
Tyas Mutiara Basuki et al.
GEOCARTO INTERNATIONAL (2012)
Improved Forest Biomass and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data
Sandra Eckert
REMOTE SENSING (2012)
Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis
Akin Ozcift
COMPUTERS IN BIOLOGY AND MEDICINE (2011)
Spatio-temporal predictive model based on environmental factors for juvenile spotted seatrout in Texas estuaries using boosted regression trees
John T. Froeschke et al.
FISHERIES RESEARCH (2011)
Predicting forest structural parameters using the image texture derived from WorldView-2 multispectral imagery in a dryland forest, Israel
Ibrahim Ozdemir et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2011)
Extracting structural attributes from IKONOS imagery for Eucalyptus plantation forests in KwaZulu-Natal, South Africa, using image texture analysis and artificial neural networks
M. T. Gebreslasie et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Estimation of tropical forest biomass using Landsat TM imagery and permanent plot data in Xishuangbanna, China
Cunjian Yang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests
Li Guo et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)
Determinants of reproductive success in dominant pairs of clownfish: a boosted regression tree analysis
Peter M. Buston et al.
JOURNAL OF ANIMAL ECOLOGY (2011)
Absolute radiometric calibration of the RapidEye multispectral imager using the reflectance-based vicarious calibration method
Denis Naughton et al.
JOURNAL OF APPLIED REMOTE SENSING (2011)
Benchmark map of forest carbon stocks in tropical regions across three continents
Sassan S. Saatchi et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)
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
E. T. A. Mitchard et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Dry season mapping of savanna forage quality, using the hyperspectral Carnegie Airborne Observatory sensor
Nichola M. Knox et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Examining the utility of random forest and AISA Eagle hyperspectral image data to predict Pinus patula age in KwaZulu-Natal, South Africa
Michelle Dye et al.
GEOCARTO INTERNATIONAL (2011)
Estimating Tree Biomass of Sub-Saharan African Forests: a Review of Available Allometric Equations
Matieu Henry et al.
SILVA FENNICA (2011)
Spatial and seasonal distribution of adult Oithona similis in the Southern Ocean: Predictions using boosted regression trees
Matt H. Pinkerton et al.
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS (2010)
A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa
R. Ismail et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2010)
Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches
Scott L. Powell et al.
REMOTE SENSING OF ENVIRONMENT (2010)
Variable Importance Assessment in Regression: Linear Regression versus Random Forest
Ulrike Groemping
AMERICAN STATISTICIAN (2009)
Using satellite radar backscatter to predict above-ground woody biomass: A consistent relationship across four different African landscapes
E. T. A. Mitchard et al.
GEOPHYSICAL RESEARCH LETTERS (2009)
Linking soil bacterial diversity to ecosystem multifunctionality using backward-elimination boosted trees analysis
Ji-Zheng He et al.
JOURNAL OF SOILS AND SEDIMENTS (2009)
Conditional variable importance for random forests
Carolin Strobl et al.
BMC BIOINFORMATICS (2008)
Mapping the height and above-ground biomass of a mixed forest using lidar and stereo Ikonos images
B. St-Onge et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
A working guide to boosted regression trees
J. Elith et al.
JOURNAL OF ANIMAL ECOLOGY (2008)
Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
Jonathan Cheung-Wai Chan et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression
Moses Azong Cho et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2007)
Monitoring and estimating tropical forest carbon stocks: making REDD a reality
Holly K. Gibbs et al.
ENVIRONMENTAL RESEARCH LETTERS (2007)
Estimating grassland Biomass using SVM band shaving of hyperspectral data
J. G. P. W. Clevers et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2007)
Biomass estimation over a large area based on standwise forest inventory data and ASTER and MODIS satellite data: A possibility to verify carbon inventories
P. Muukkonen et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Mapping mixed vegetation communities in salt marshes using airborne spectral data
Cheng Wang et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Random forest models to predict aqueous solubility
David S. Palmer et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2007)
Interannual variability in global biomass burning emissions from 1997 to 2004
G. R. van der Werf et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2006)
Estimating forest biomass in the USA using generalized allometric models and MODIS land products
Xiaoyang Zhang et al.
GEOPHYSICAL RESEARCH LETTERS (2006)
The potential and challenge of remote sensing-based biomass estimation
Dengsheng Lu
INTERNATIONAL JOURNAL OF REMOTE SENSING (2006)
Newer classification and regression tree techniques: Bagging and random forests for ecological prediction
AM Prasad et al.
ECOSYSTEMS (2006)
Estimating aboveground tree biomass and leaf area index in a mountain birch forest using ASTER satellite data
J Heiskanen
INTERNATIONAL JOURNAL OF REMOTE SENSING (2006)
Random Forests for land cover classification
PO Gislason et al.
PATTERN RECOGNITION LETTERS (2006)
Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (RandomForest)
RL Lawrence et al.
REMOTE SENSING OF ENVIRONMENT (2006)
Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees
J. R. Leathwick et al.
MARINE ECOLOGY PROGRESS SERIES (2006)
Assessing vineyard condition with hyperspectral indices:: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
PJ Zarco-Tejada et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Nitrogen detection with hyperspectral normalized ratio indices across multiple plant species
JG Ferwerda et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon
D Lu
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis
R Lawrence et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Biomass estimations and carbon stock calculations in the oil palm plantations of African derived savannas using IKONOS data
PS Thenkabail et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)
Forest biomass estimation over regional scales using multisource data
A Baccini et al.
GEOPHYSICAL RESEARCH LETTERS (2004)
Above-ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: the DAIS Peyne experiment
SM De Jong et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)
Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks
JR Dong et al.
REMOTE SENSING OF ENVIRONMENT (2003)
Effects of stand size on the accuracy of remote sensing-based forest inventory
HJ Hyyppä et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2001)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)
Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
NH Broge et al.
REMOTE SENSING OF ENVIRONMENT (2001)
Share Paper
