Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data

Assessing the suitability of data from Sentinel-1A and 2A for crop classification

(2017) Rei Sonobe et al.   GIScience & Remote Sensing

Evaluation of Goddard’s LiDAR, hyperspectral, and thermal data products for mapping urban land-cover types

(2017) Caiyun Zhang et al.   GIScience & Remote Sensing

Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration

(2017) Meisam Amani et al.   GIScience & Remote Sensing

A comparison of geographic datasets and field measurements to model soil carbon using random forests and stepwise regressions (British Columbia, Canada)

(2017) Heather J. Richardson et al.   GIScience & Remote Sensing

Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data

(2017) Steven E. Franklin et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Use of low point density ALS data to estimate stand-level structural variables in Mediterranean Aleppo pine forest

(2016) A. L. Montealegre et al.   FORESTRY

An improved tree crown delineation method based on live crown ratios from airborne LiDAR data

(2016) Fang Fang et al.   GIScience & Remote Sensing

Integration of full-waveform LiDAR and hyperspectral data to enhance tea and areca classification

(2016) Hone-Jay Chu et al.   GIScience & Remote Sensing

Fusion of airborne LiDAR and multispectral sensors reveals synergic capabilities in forest structure characterization

(2016) Jose A. Manzanera et al.   GIScience & Remote Sensing

Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks

(2016) Tien Dat Pham et al.   GIScience & Remote Sensing

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Forest Management Challenges for Sustaining Water Resources in the Anthropocene

(2016) Ge Sun et al.   Forests

Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms

(2016) Galal Omer et al.   Remote Sensing

Effect of slope on treetop detection using a LiDAR Canopy Height Model

(2015) Anahita Khosravipour et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm

(2015) Oumer S. Ahmed et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The role of forest stand structure as biodiversity indicator

(2014) Tian Gao et al.   FOREST ECOLOGY AND MANAGEMENT

Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park

(2014) Manqi Li et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

PTrees: A point-based approach to forest tree extraction from lidar data

(2014) C. Vega et al.   International Journal of Applied Earth Observation and Geoinformation

Forest inventory stand height estimates from very high spatial resolution satellite imagery calibrated with lidar plots

(2013) Brice Mora et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Modeling Stand Height, Volume, and Biomass from Very High Spatial Resolution Satellite Imagery and Samples of Airborne LiDAR

(2013) Brice Mora et al.   Remote Sensing

Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms

(2012) Shaban Shataee et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys

(2012) Andrew T. Hudak et al.   REMOTE SENSING OF ENVIRONMENT

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

(2012) Harri Kaartinen et al.   Remote Sensing

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Importance of structure and its measurement in quantifying function of forest ecosystems

(2011) H. H. Shugart et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Forests and Climate Change in Latin America: Linking Adaptation and Mitigation

(2011) Bruno Locatelli et al.   Forests

Airborne Light Detection and Ranging (LiDAR) for Individual Tree Stem Location, Height, and Biomass Measurements

(2011) Curtis Edson et al.   Remote Sensing

A comparison between various definitions of forest stand height and aerodynamic canopy height

(2010) Taro Nakai et al.   AGRICULTURAL AND FOREST METEOROLOGY

Estimating vegetation height and canopy cover from remotely sensed data with machine learning

(2010) Daniela Stojanova et al.   Ecological Informatics

Support vector machines in remote sensing: A review

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

Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes

(2010) Xiaowei Yu et al.   Remote Sensing

Hyperspectral remote sensing analysis of short rotation woody crops grown with controlled nutrient and irrigation treatments

(2009) Jungho Im et al.   Geocarto International

Review of methods of small‐footprint airborne laser scanning for extracting forest inventory data in boreal forests

(2008) J. Hyyppä et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Quantifying the influence of slope, aspect, crown shape and stem density on the estimation of tree height at plot level using lidar and InSAR data

(2008) J. Breidenbach et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Managing Forests for Climate Change Mitigation

(2008) J. G. Canadell et al.   SCIENCE