Ronald E. McRoberts
Affiliations:- US Forest Service, Northern Research Station, Saint Paul, USA
- USDA Forest Service, Northern Research Station, Saint Paul, USA
According to our database1,
Ronald E. McRoberts
authored at least 33 papers
between 2004 and 2024.
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Bibliography
2024
Forest species mapping and area proportion estimation combining Sentinel-2 harmonic predictors and national forest inventory data.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images.
Remote. Sens., November, 2023
Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.
Remote. Sens., July, 2023
Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground Biomass Products from Airborne Lidar Data.
Remote. Sens., July, 2023
Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory.
Int. J. Appl. Earth Obs. Geoinformation, May, 2023
Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring.
Remote. Sens., March, 2023
Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets.
Remote. Sens., February, 2023
2022
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map.
Int. J. Appl. Earth Obs. Geoinformation, 2022
An open science and open data approach for the statistically robust estimation of forest disturbance areas.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
The Effect of Forest Mask Quality in the Wall-to-Wall Estimation of Growing Stock Volume.
Remote. Sens., 2021
Editorial Summary, Remote Sensing Special Issue "Advances in Remote Sensing for Global Forest Monitoring".
Remote. Sens., 2021
2020
Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods - A Case Study from Dak Nong, Vietnam.
Remote. Sens., 2020
Remote. Sens., 2020
A New Method for Automated Clearcut Disturbance Detection in Mediterranean Coppice Forests Using Landsat Time Series.
Remote. Sens., 2020
A Model-Based Volume Estimator that Accounts for Both Land Cover Misclassification and Model Prediction Uncertainty.
Remote. Sens., 2020
Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
A Model-Dependent Method for Monitoring Subtle Changes in Vegetation Height in the Boreal-Alpine Ecotone Using Bi-Temporal, Three Dimensional Point Data from Airborne Laser Scanning.
Remote. Sens., 2019
Increasing Precision for French Forest Inventory Estimates using the k-NN Technique with Optical and Photogrammetric Data and Model-Assisted Estimators.
Remote. Sens., 2019
Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data.
Remote. Sens., 2019
Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Mapping uncertainty of ICP-Forest biodiversity data: From standard treatment of diffusion to density-equalizing cartograms.
Ecol. Informatics, 2018
2017
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Statewide mapping and estimation of vegetation aboveground biomass using airborne lidar.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2013
Accuracy and Precision for Remote Sensing Applications of Nonlinear Model-Based Inference.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2013
2011
Math. Comput. For. Nat. Resour. Sci., 2011
2005
The Virtual Analyst Program: A Small Scale Data-Mining, Error-Analysis and Reporting Function.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005
2004
Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA 2004), with CD-ROM, 30 August, 2004
Using Forest Inventory Data and Geographic Information Systems to Support Forest Management Decision-Making.
Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA 2004), with CD-ROM, 30 August, 2004