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A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa

Ecological modelling, 2008-09, Vol.217 (1), p.48-58

2008

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How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

Forests, 2017-03, Vol.8 (4), p.98

2017

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

Canadian journal of forest research, 2016-03, Vol.46 (3), p.323-339

2016

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Design and evaluation of an inexpensive radiation shield for monitoring surface air temperatures

Agricultural and forest meteorology, 2013-10, Vol.180, p.281-286

2013

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Mapping forest change using stacked generalization: An ensemble approach

Remote sensing of environment, 2018-01, Vol.204, p.717-728

2018

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

Remote sensing of environment, 2011-06, Vol.115 (6), p.1421-1433

2011

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Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

Remote sensing of environment, 2010-05, Vol.114 (5), p.1053-1068

2010

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United States Forest Disturbance Trends Observed Using Landsat Time Series

Ecosystems (New York), 2013-09, Vol.16 (6), p.1087-1104

2013

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FIESTA': a forest inventory estimation and analysis R package

Ecography (Copenhagen), 2023-07, Vol.2023 (7), p.n/a

2023

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Forest Degradation Assessment Based on Trend Analysis of MODIS-Leaf Area Index: A Case Study in Mexico

Remote sensing (Basel, Switzerland), 2019-11, Vol.11 (21), p.2503

2019

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Modeling Percent Tree Canopy Cover: A Pilot Study

Photogrammetric engineering and remote sensing, 2012-07, Vol.78 (7), p.715-727

2012

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Assessing the relationship between vegetation greenness and surface temperature through Granger causality and Impulse-Response coefficients: a case study in Mexico

International journal of remote sensing, 2020-05, Vol.41 (10), p.3761-3783

2020

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

Global change biology, 2016-10, Vol.22 (10), p.3518-3528

2016

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Comparing five modelling techniques for predicting forest characteristics

Ecological modelling, 2002-11, Vol.157 (2), p.209-225

2002

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Evaluating effectiveness of down-sampling for stratified designs and unbalanced prevalence in Random Forest models of tree species distributions in Nevada

Ecological modelling, 2012-05, Vol.233, p.1-10

2012

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Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data

Remote sensing of environment, 2014-11, Vol.154, p.61-73

2014

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Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods

Ecological modelling, 2006-11, Vol.199 (2), p.176-187

2006

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Development of high‐resolution (250 m) historical daily gridded air temperature data using reanalysis and distributed sensor networks for the US Northern Rocky Mountains

International journal of climatology, 2016-08, Vol.36 (10), p.3620-3632

2016

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Estimating Land Use and Land Cover Change in North Central Georgia: Can Remote Sensing Observations Augment Traditional Forest Inventory Data?

Forests, 2020-08, Vol.11 (8), p.856

2020

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A Tutorial on Model-Assisted Estimation with Application to Forest Inventory

Forests, 2020-02, Vol.11 (2), p.244

2020

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Effects of sample survey design on the accuracy of classification tree models in species distribution models

Ecological modelling, 2006-11, Vol.199 (2), p.132-141

2006

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Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR

Remote sensing of environment, 2011-11, Vol.115 (11), p.2943-2953

2011

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Forest canopy height from the Multiangle Imaging SpectroRadiometer (MISR) assessed with high resolution discrete return lidar

Remote sensing of environment, 2009-10, Vol.113 (10), p.2172-2185

2009

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Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory

Forests, 2020-12, Vol.11 (12), p.1364

2020

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PresenceAbsence : An R Package for Presence Absence Analysis

Journal of statistical software, 2008, Vol.23 (11)

2008

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A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa

How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

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

Design and evaluation of an inexpensive radiation shield for monitoring surface air temperatures

Mapping forest change using stacked generalization: An ensemble approach

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

Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

United States Forest Disturbance Trends Observed Using Landsat Time Series

FIESTA': a forest inventory estimation and analysis R package

Forest Degradation Assessment Based on Trend Analysis of MODIS-Leaf Area Index: A Case Study in Mexico

Modeling Percent Tree Canopy Cover: A Pilot Study

Assessing the relationship between vegetation greenness and surface temperature through Granger causality and Impulse-Response coefficients: a case study in Mexico

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

Comparing five modelling techniques for predicting forest characteristics

Evaluating effectiveness of down-sampling for stratified designs and unbalanced prevalence in Random Forest models of tree species distributions in Nevada

Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data

Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods

Development of high‐resolution (250 m) historical daily gridded air temperature data using reanalysis and distributed sensor networks for the US Northern Rocky Mountains

Estimating Land Use and Land Cover Change in North Central Georgia: Can Remote Sensing Observations Augment Traditional Forest Inventory Data?

A Tutorial on Model-Assisted Estimation with Application to Forest Inventory

Effects of sample survey design on the accuracy of classification tree models in species distribution models

Forest structure and aboveground biomass in the southwestern United States from MODIS and MISR

Forest canopy height from the Multiangle Imaging SpectroRadiometer (MISR) assessed with high resolution discrete return lidar

Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory

PresenceAbsence : An R Package for Presence Absence Analysis

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