Shape selection in Landsat time series: a tool for monitoring forest dynamics

Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance

(2016) Elizabeth A. Freeman et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Forest disturbance across the conterminous United States from 1985–2012: The emerging dominance of forest decline

(2016) Warren B. Cohen et al.   FOREST ECOLOGY AND MANAGEMENT

coneproj: AnRPackage for the Primal or Dual Cone Projections with Routines for Constrained Regression

(2015) Xiyue Liao et al.   Journal of Statistical Software

Modeling Percent Tree Canopy Cover

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

Bringing an ecological view of change to Landsat-based remote sensing

(2014) Robert E Kennedy et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

United States Forest Disturbance Trends Observed Using Landsat Time Series

(2013) Jeffrey G. Masek et al.   ECOSYSTEMS

On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data

(2013) Evan B. Brooks et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Semi-parametric additive constrained regression

(2013) Mary C. Meyer   JOURNAL OF NONPARAMETRIC STATISTICS

Conterminous U.S. and Alaska Forest Type Mapping Using Forest Inventory and Analysis Data

(2013) B. Ruefenacht et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics

(2013) Dirk Pflugmacher et al.   REMOTE SENSING OF ENVIRONMENT

A Simple New Algorithm for Quadratic Programming with Applications in Statistics

(2012) Mary C. Meyer   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Using Landsat-derived disturbance history (1972–2010) to predict current forest structure

(2012) Dirk Pflugmacher et al.   REMOTE SENSING OF ENVIRONMENT

Quantifying forest cover loss in Democratic Republic of the Congo, 2000–2010, with Landsat ETM+ data

(2012) Peter V. Potapov et al.   REMOTE SENSING OF ENVIRONMENT

Continuous monitoring of forest disturbance using all available Landsat imagery

(2012) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems

(2012) James E. Vogelmann et al.   REMOTE SENSING OF ENVIRONMENT

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Opening the archive: How free data has enabled the science and monitoring promise of Landsat

(2012) Michael A. Wulder et al.   REMOTE SENSING OF ENVIRONMENT

Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data

(2011) Todd A. Schroeder et al.   REMOTE SENSING OF ENVIRONMENT

Automated masking of cloud and cloud shadow for forest change analysis using Landsat images

(2010) Chengquan Huang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms

(2010) Robert E. Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

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

Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation

(2010) Warren B. Cohen et al.   REMOTE SENSING OF ENVIRONMENT

Development of time series stacks of Landsat images for reconstructing forest disturbance history

(2009) Chengquan Huang et al.   International Journal of Digital Earth

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

(2009) Chengquan Huang et al.   REMOTE SENSING OF ENVIRONMENT

Inference using shape-restricted regression splines

(2008) Mary C. Meyer   Annals of Applied Statistics

Free Access to Landsat Imagery

(2008) C. E. Woodcock et al.   SCIENCE

Use of a dark object concept and support vector machines to automate forest cover change analysis

(2007) Chengquan Huang et al.   REMOTE SENSING OF ENVIRONMENT