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Russell G. Congalton
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2020 – today
- 2024
- [j23]Caroline R. Kanaskie, Michael Routhier, Benjamin T. Fraser, Russell G. Congalton, Matthew P. Ayres, Jeff R. Garnas:
Early Detection of Southern Pine Beetle Attack by UAV-Collected Multispectral Imagery. Remote. Sens. 16(14): 2608 (2024) - 2023
- [j22]Christine L. Bunyon, Benjamin T. Fraser, Amanda McQuaid, Russell G. Congalton:
Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes. Remote. Sens. 15(11): 2839 (2023) - 2022
- [j21]Jianyu Gu, Russell G. Congalton:
Individual Tree Crown Delineation From UAS Imagery Based on Region Growing by Over-Segments With a Competitive Mechanism. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2021
- [j20]Heather Grybas, Russell G. Congalton:
A Comparison of Multi-Temporal RGB and Multispectral UAS Imagery for Tree Species Classification in Heterogeneous New Hampshire Forests. Remote. Sens. 13(13): 2631 (2021) - [j19]Benjamin T. Fraser, Russell G. Congalton:
Estimating Primary Forest Attributes and Rare Community Characteristics Using Unmanned Aerial Systems (UAS): An Enrichment of Conventional Forest Inventories. Remote. Sens. 13(15): 2971 (2021) - [j18]Benjamin T. Fraser, Russell G. Congalton:
Monitoring Fine-Scale Forest Health Using Unmanned Aerial Systems (UAS) Multispectral Models. Remote. Sens. 13(23): 4873 (2021) - 2020
- [j17]Jianyu Gu, Heather Grybas, Russell G. Congalton:
Individual Tree Crown Delineation from UAS Imagery Based on Region Growing and Growth Space Considerations. Remote. Sens. 12(15): 2363 (2020) - [j16]Jianyu Gu, Russell G. Congalton:
Analysis of the Impact of Positional Accuracy When Using a Single Pixel for Thematic Accuracy Assessment. Remote. Sens. 12(24): 4093 (2020)
2010 – 2019
- 2019
- [j15]Adam J. Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav:
Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud. Int. J. Appl. Earth Obs. Geoinformation 81: 110-124 (2019) - [j14]Peijun Sun, Russell G. Congalton, Yaozhong Pan:
Using a simulation analysis to evaluate the impact of crop mapping error on crop area estimation from stratified sampling. Int. J. Digit. Earth 12(9): 1046-1066 (2019) - [j13]Kamini Yadav, Russell G. Congalton:
Correction: Yadav. K. and Congalton. R. Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions. Remote Sens. 2018 10, 1800. Remote. Sens. 11(6): 630 (2019) - [c1]Peijun Sun, Russell G. Congalton:
Comparing the impact of mapping error on the representation of landscape pattern on upscaled agricultural maps. Agro-Geoinformatics 2019: 1-6 - 2018
- [j12]Peijun Sun, Jinshui Zhang, Russell G. Congalton, Yaozhong Pan, Xiufang Zhu:
A quantitative performance comparison of paddy rice acreage estimation using stratified sampling strategies with different stratification indicators. Int. J. Digit. Earth 11(10): 1001-1019 (2018) - [j11]Kamini Yadav, Russell G. Congalton:
Issues with Large Area Thematic Accuracy Assessment for Mapping Cropland Extent: A Tale of Three Continents. Remote. Sens. 10(1): 53 (2018) - [j10]Peijun Sun, Russell G. Congalton:
Using a Similarity Matrix Approach to Evaluate the Accuracy of Rescaled Maps. Remote. Sens. 10(3): 487 (2018) - [j9]Benjamin T. Fraser, Russell G. Congalton:
Issues in Unmanned Aerial Systems (UAS) Data Collection of Complex Forest Environments. Remote. Sens. 10(6): 908 (2018) - [j8]Kamini Yadav, Russell G. Congalton:
Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions. Remote. Sens. 10(11): 1800 (2018) - 2017
- [j7]Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Muralikrishna Gumma, Russell G. Congalton, Adam J. Oliphant, Justin Poehnelt, Kamini Yadav, Mahesh N. Rao, Richard Massey:
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data. Int. J. Digit. Earth 10(9): 944-977 (2017) - [j6]Peijun Sun, Russell G. Congalton, Heather Grybas, Yaozhong Pan:
The Impact of Mapping Error on the Performance of Upscaling Agricultural Maps. Remote. Sens. 9(9): 901 (2017) - [j5]Jun Xiong, Prasad S. Thenkabail, James C. Tilton, Murali K. Gumma, Pardhasaradhi Teluguntla, Adam J. Oliphant, Russell G. Congalton, Kamini Yadav, Noel Gorelick:
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine. Remote. Sens. 9(10): 1065 (2017) - 2015
- [j4]Heather Grybas, Russell G. Congalton:
Land Cover Change Image Analysis for Assateague Island National Seashore Following Hurricane Sandy. J. Imaging 1(1): 85-114 (2015) - [j3]Jianyu Gu, Russell G. Congalton, Yaozhong Pan:
The Impact of Positional Errors on Soft Classification Accuracy Assessment: A Simulation Analysis. Remote. Sens. 7(1): 579-599 (2015) - [j2]John S. Iiames, Russell G. Congalton, Timothy E. Lewis, Andrew N. Pilant:
Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products. Remote. Sens. 7(2): 1397-1421 (2015) - 2014
- [j1]Russell G. Congalton, Jianyu Gu, Kamini Yadav, Prasad S. Thenkabail, Mutlu Ozdogan:
Global Land Cover Mapping: A Review and Uncertainty Analysis. Remote. Sens. 6(12): 12070-12093 (2014)
Coauthor Index
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