Landscape-Scale Aboveground Biomass Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data

Mapping boreal forest biomass from a SRTM and TanDEM-X based on canopy height model and Landsat spectral indices

(2018) Yaser Sadeghi et al.   International Journal of Applied Earth Observation and Geoinformation

Remote Sensing of Above-Ground Biomass

(2017) Lalit Kumar et al.   Remote Sensing

Comparison and Evaluation of Three Methods for Estimating Forest above Ground Biomass Using TM and GLAS Data

(2017) Kaili Liu et al.   Remote Sensing

Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China

(2016) Zhenfeng Shao et al.   SENSORS

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

(2016) Panpan Zhao et al.   Remote Sensing

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Consistency of random forests

(2015) Erwan Scornet et al.   ANNALS OF STATISTICS

Integration of WorldView-2 and airborne LiDAR data for tree species level carbon stock mapping in Kayar Khola watershed, Nepal

(2015) Yogendra K. Karna et al.   International Journal of Applied Earth Observation and Geoinformation

Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas

(2015) Timothy Dube et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa

(2015) Timothy Dube et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Application of topo-edaphic factors and remotely sensed vegetation indices to enhance biomass estimation in a heterogeneous landscape in the Eastern Arc Mountains of Tanzania

(2015) Mercy Ojoyi et al.   Geocarto International

Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest

(2015) Martin Karlson et al.   Remote Sensing

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

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

Effect of field plot location on estimating tropical forest above-ground biomass in Nepal using airborne laser scanning data

(2014) Parvez Rana et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass

(2014) F.E. Fassnacht et al.   REMOTE SENSING OF ENVIRONMENT

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

(2014) Timothy Dube et al.   SENSORS

Leveraging EO-1 to Evaluate Capability of New Generation of Landsat Sensors for Coastal/Inland Water Studies

(2013) Nima Pahlevan et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Toward structural assessment of semi-arid African savannahs and woodlands: The potential of multitemporal polarimetric RADARSAT-2 fine beam images

(2013) Renaud Mathieu et al.   REMOTE SENSING OF ENVIRONMENT

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

The next Landsat satellite: The Landsat Data Continuity Mission

(2012) James R. Irons et al.   REMOTE SENSING OF ENVIRONMENT

Utilizing a Multi-Source Forest Inventory Technique, MODIS Data and Landsat TM Images in the Production of Forest Cover and Volume Maps for the Terai Physiographic Zone in Nepal

(2012) Eero Muinonen et al.   Remote Sensing

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

(2011) Akin Özçift   COMPUTERS IN BIOLOGY AND MEDICINE

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

Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors

(2011) Matthew L. Clark 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

Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors

(2010) H. Latifi et al.   FORESTRY

Mining data with random forests: A survey and results of new tests

(2010) A. Verikas et al.   PATTERN RECOGNITION

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

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

Estimating aboveground biomass of grassland having a high canopy cover: an exploratory analysis of in situ hyperspectral data

(2009) Jin Chen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING