Machine Learning Classification of Endangered Tree Species in a Tropical Submontane Forest Using WorldView-2 Multispectral Satellite Imagery and Imbalanced Dataset

Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression

(2021) Semih Kuter   REMOTE SENSING OF ENVIRONMENT

Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis

(2019) Matheus Pinheiro Ferreira et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluating Management Strategies for Mount Kenya Forest Reserve and National Park to Reduce Fire Danger and Address Interests of Various Stakeholders

(2019) Kevin W. Nyongesa et al.   Forests

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images

(2018) Fabien Hubert Wagner et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Variable Impacts Measurement in Random Forest for Mobile Cloud Computing

(2017) Jae-Hee Hur et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data

(2016) Matheus Pinheiro Ferreira et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data

(2016) Sarah Graves et al.   Remote Sensing

An estimate of the number of tropical tree species

(2015) J. W. Ferry Slik et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mapping and Characterizing Selected Canopy Tree Species at the Angkor World Heritage Site in Cambodia Using Aerial Data

(2015) Minerva Singh et al.   PLoS One

Operational Tree Species Mapping in a Diverse Tropical Forest with Airborne Imaging Spectroscopy

(2015) Claire A. Baldeck et al.   PLoS One

Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers

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

Seasonal Variation in Spectral Signatures of Five Genera of Rainforest Trees

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

Tree Species Discrimination in Tropical Forests Using Airborne Imaging Spectroscopy

(2012) Jean-Baptiste Feret et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

Hyperspectral Time Series Analysis of Native and Invasive Species in Hawaiian Rainforests

(2012) Ben Somers et al.   Remote Sensing

Semi-Supervised Methods to Identify Individual Crowns of Lowland Tropical Canopy Species Using Imaging Spectroscopy and LiDAR

(2012) Jean-Baptiste Féret et al.   Remote Sensing

Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier

(2012) Matthew L. Clark et al.   Remote Sensing

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

High resolution satellite imagery for tropical biodiversity studies: the devil is in the detail

(2008) Harini Nagendra et al.   BIODIVERSITY AND CONSERVATION

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Data Visualization With Multidimensional Scaling

(2008) Andreas Buja et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS