Russell Congalton

Russell Congalton

University of New Hampshire

H-index: 55

North America-United States

About Russell Congalton

Russell Congalton, With an exceptional h-index of 55 and a recent h-index of 34 (since 2020), a distinguished researcher at University of New Hampshire, specializes in the field of Remote sensing, GIS, Accuracy Assessment, Geospatial Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

In Memoriam–Michael S. Renslow

A Comparison of Unpiloted Aerial System Hardware and Software for Surveying Fine-Scale Oak Health in Oak–Pine Forests

Informing aquatic restoration decisions using environmental justice in New Hampshire

Using imagery collected by an unmanned aerial system to monitor cyanobacteria in New Hampshire, USA, lakes

Evaluating the use of Unpiloted Aerial Systems to detect and monitor beech bark disease in New England forests

America View and its Landsat Connection

Analysis of Unmanned Aerial System (UAS) Sensor Data for Natural Resource Applications: A Review

Virtual Field Reference Database for Assessment of Land Cover Data and Variability

Russell Congalton Information

University

Position

___

Citations(all)

34898

Citations(since 2020)

11719

Cited By

27853

hIndex(all)

55

hIndex(since 2020)

34

i10Index(all)

119

i10Index(since 2020)

82

Email

University Profile Page

University of New Hampshire

Google Scholar

View Google Scholar Profile

Russell Congalton Skills & Research Interests

Remote sensing

GIS

Accuracy Assessment

Geospatial Analysis

Top articles of Russell Congalton

Title

Journal

Author(s)

Publication Date

In Memoriam–Michael S. Renslow

Photogrammetric Engineering & Remote Sensing

Russell G Congalton

2024/3/1

A Comparison of Unpiloted Aerial System Hardware and Software for Surveying Fine-Scale Oak Health in Oak–Pine Forests

Forests

Benjamin T Fraser

Larissa Robinov

William Davidson

Shea O’Connor

Russell G Congalton

2024/4/17

Informing aquatic restoration decisions using environmental justice in New Hampshire

Journal of Environmental Policy & Planning

Simone T Chapman

Catherine M Ashcraft

Lawrence C Hamilton

Russell G Congalton

2023/9/3

Using imagery collected by an unmanned aerial system to monitor cyanobacteria in New Hampshire, USA, lakes

Remote Sensing

Christine L Bunyon

Benjamin T Fraser

Amanda McQuaid

Russell G Congalton

2023/5/30

Evaluating the use of Unpiloted Aerial Systems to detect and monitor beech bark disease in New England forests

The Geographical Bulletin

Isabelle Lopez

Benjamin T Fraser

Russell G Congalton

2023

America View and its Landsat Connection

Photogrammetric Engineering & Remote Sensing

Russell G Congalton

Roberta Lenczowski

Lisa Wirth

Christopher McGinty

2022/7/1

Analysis of Unmanned Aerial System (UAS) Sensor Data for Natural Resource Applications: A Review

Benjamin T Fraser

Christine L Bunyon

Sarah Reny

Isabelle Sophia Lopez

Russell G Congalton

2022/6/8

Virtual Field Reference Database for Assessment of Land Cover Data and Variability

Ross S Lunetta

John Liames

Joseph Knight

Russell G Congalton

Thomas H Mace

2022/12/21

Evaluating the Impacts of Flying Height and Forward Overlap on Tree Height Estimates Using Unmanned Aerial Systems

Forests

Heather Grybas

Russell G Congalton

2022/9/11

Individual tree crown delineation from UAS imagery based on region growing by over-segments with a competitive mechanism

IEEE Transactions on Geoscience and Remote Sensing

Jianyu Gu

Russell G Congalton

2021/5/5

Analysis of the impact of positional accuracy when using a block of pixels for thematic accuracy assessment

Geographies

Jianyu Gu

Russell G Congalton

2021/9/18

Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on …

Prasad S Thenkabail

Pardhasaradhi G Teluguntla

Jun Xiong

Adam Oliphant

Russell G Congalton

...

2021

Evaluating the capability of unmanned aerial system (UAS) imagery to detect and measure the effects of edge influence on forest canopy cover in New England

Forests

Heather Grybas

Russell G Congalton

2021/9/15

Evaluating the environmental effectiveness of payments for hydrological services in Veracruz, México: A landscape approach

Land Use Policy

Juan Von Thaden

Robert H Manson

Russell G Congalton

Fabiola López-Barrera

Kelly W Jones

2021/1/1

Mapping and Monitoring Forest Cover

Russell G Congalton

2021/9/1

Monitoring fine-scale forest health using unmanned aerial systems (UAS) multispectral models

Remote Sensing

Benjamin T Fraser

Russell G Congalton

2021/11/30

Estimating primary forest attributes and rare community characteristics using unmanned aerial systems (UAS): an enrichment of conventional forest inventories

Remote Sensing

Benjamin T Fraser

Russell G Congalton

2021/7/28

A Comparison of Methods for Determining Forest Composition from High-Spatial-Resolution Remotely Sensed Imagery

Forests

Benjamin T Fraser

Russell G Congalton

2021/9/21

A comparison of multi-temporal RGB and multispectral UAS imagery for tree species classification in heterogeneous New Hampshire Forests

Remote Sensing

Heather Grybas

Russell G Congalton

2021/7/4

The impact of landscape characteristics on the performance of upscaled maps

Geocarto International

Peijun Sun

Russell G Congalton

2021/9/21

See List of Professors in Russell Congalton University(University of New Hampshire)

Co-Authors

H-index: 41
Mark Ducey

Mark Ducey

University of New Hampshire

H-index: 13
Richard Massey

Richard Massey

Northern Arizona University

H-index: 11
Meghan Graham MacLean

Meghan Graham MacLean

University of Massachusetts Amherst

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