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Environmental Sciences

D-Index
68
Citations
13492
World Ranking
1901
National Ranking
790

Research.com Recognitions

  • 2008 - Fellow of the American Statistical Association (ASA)

Overview

Ronald E. McRoberts is affiliated with the University of Minnesota in the United States. Their research primarily focuses on environmental science, with specific attention to subfields such as environmental engineering, ecology, nature and landscape conservation, global and planetary change, and atmospheric science.

Their work encompasses a range of topics including remote sensing and LiDAR applications, remote sensing in agriculture, forest ecology and management, land use and ecosystem services, forest management and policy, soil geostatistics and mapping, and fire effects on ecosystems.

Frequent publication venues for Ronald E. McRoberts include:

  • Remote Sensing
  • Remote Sensing of Environment
  • Forest Ecosystems
  • International Journal of Applied Earth Observation and Geoinformation
  • Forest Ecology and Management

Common collaborators in their work include:

  • Erik Næsset
  • Zhengyang Hou
  • Gherardo Chirici
  • Göran Ståhl
  • Saverio Francini

Some notable recent papers by Ronald E. McRoberts are:

  • Changes in global terrestrial live biomass over the 21st century, 2021, Science Advances
  • Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods-A Case Study from Dak Nong, Vietnam, 2020, Remote Sensing
  • Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory, 2020, Forests
  • Near-real time forest change detection using PlanetScope imagery, 2020, European Journal of Remote Sensing
  • Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran, 2020, Remote Sensing of Environment

Ronald E. McRoberts has also contributed to book publications. One example is the work published with Ghent University titled "Aboveground Woody Biomass Product Validation Good Practices Protocol" in 2021.

In 2008, Ronald E. McRoberts was recognized as a Fellow of the American Statistical Association (ASA).

Best Publications

  • Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information

    J. A. Blackard;M. V. Finco;E. H. Helmer;G. R. Holden

  • Remote sensing support for national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo

  • Changes in global terrestrial live biomass over the 21st century

    Liang Xu;Sassan S. Saatchi;Sassan S. Saatchi;Yan Yang;Yifan Yu

  • Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique

    Ronald E McRoberts;Mark D Nelson;Daniel G Wendt

  • Relationship of deer and moose populations to previous winters' snow

    L.D. Mech;R.E. McRoberts;R.O. Peterson;R.E. Page

  • Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery

    Ronald E. McRoberts;Erkki O. Tomppo;Andrew O. Finley;Juha Heikkinen

  • Advances and emerging issues in national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo;Erik. Naesset

  • Forests on the edge: housing development on America’s private forests.

    Ronald E. McRoberts;Ralph J. Alig;Mark D. Nelson;David M. Theobald

  • Contribution of large-scale forest inventories to biodiversity assessment and monitoring

    Piermaria Corona;Gherardo Chirici;Ronald E. McRoberts;Susanne Winter

  • A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data

    Gherardo Chirici;Matteo Mura;Daniel McInerney;Nicolas Py

  • Estimating forest attribute parameters for small areas using nearest neighbors techniques

    Ronald E. McRoberts

  • The Importance of Consistent Global Forest Aboveground Biomass Product Validation

    L. Duncanson;J. Armston;M. Disney;V. Avitabile

  • Inference for lidar-assisted estimation of forest growing stock volume

    Ronald E. McRoberts;Erik Næsset;Terje Gobakken

  • Effects of uncertainty in model predictions of individual tree volume on large area volume estimates

    Ronald E. McRoberts;James A. Westfall

  • Using remotely sensed data to construct and assess forest attribute maps and related spatial products

    Ronald E. McRoberts;Warren B. Cohen;Erik Naesset;Stephen V. Stehman

  • Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data

    Ronald E. McRoberts

  • Use of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation

    Göran Ståhl;Svetlana Saarela;Sebastian Schnell;Sören Holm

  • Satellite image-based maps: Scientific inference or pretty pictures?

    Ronald E. McRoberts

  • Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates

    Ronald E McRoberts;Daniel G Wendt;Mark D Nelson;Mark H Hansen

  • The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy

    Martin Herold;Sarah Carter;Valerio Avitabile;Andrés B. Espejo

  • A strategic assessment of forest biomass and fuel reduction treatments in western states

    Bob Rummer;Jeff Prestemon;Dennis May

Frequent Co-Authors

Erik Næsset
Erik Næsset Norwegian University of Life Sciences
Gherardo Chirici
Gherardo Chirici University of Florence
Erkki Tomppo
Erkki Tomppo University of Helsinki
Terje Gobakken
Terje Gobakken Norwegian University of Life Sciences
Göran Ståhl
Göran Ståhl Swedish University of Agricultural Sciences
Qi Chen
Qi Chen University of Hawaii at Manoa
Marco Marchetti
Marco Marchetti University of Molise
Grant M. Domke
Grant M. Domke US Forest Service
Emil Cienciala
Emil Cienciala Czech Academy of Sciences
Piermaria Corona
Piermaria Corona The Canadian Real Estate Association

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