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Russell Congalton
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Cited by
Year
A review of assessing the accuracy of classifications of remotely sensed data
RG Congalton
Remote sensing of environment 37 (1), 35-46, 1991
88531991
Assessing the accuracy of remotely sensed data: principles and practices
RG Congalton, K Green
CRC press, 2019
77922019
Accuracy assessment: a user’s perspective
M Story, RG Congalton
Photogrammetric Engineering and remote sensing 52 (3), 397-399, 1986
18241986
Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques
RG Congalton, RG Oderwald, RA Mead
Photogrammetric engineering and remote sensing 49 (12), 1671-1678, 1983
10641983
A quantitative method to test for consistency and correctness in photointerpretation
RG Congalton, RA Mead
Photogrammetric Engineering and Remote Sensing 49 (1), 69-74, 1983
7631983
A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data
RD Macleod, RG Congalton
Photogrammetric engineering and remote sensing 64 (3), 207-216, 1998
6721998
Application of remote sensing and geographic information systems to forest fire hazard mapping
E Chuvieco, RG Congalton
Remote sensing of Environment 29 (2), 147-159, 1989
6481989
Remote sensing and geographic information system data integration: error sources and
RG Congalton
Photogrammetric Engineering & Remote Sensing 57 (6), 677-687, 1991
5141991
Determining forest species composition using high spectral resolution remote sensing data
ME Martin, SD Newman, JD Aber, RG Congalton
Remote sensing of environment 65 (3), 249-254, 1998
4841998
A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data
RG Congalton
Photogrammetric Engineering and Remote Sensing, 1988
4701988
Accuracy assessment and validation of remotely sensed and other spatial information
RG Congalton
International Journal of Wildland Fire 10 (4), 321-328, 2001
4222001
A comparison of urban mapping methods using high-resolution digital imagery
N Thomas, C Hendrix, RG Congalton
Photogrammetric Engineering & Remote Sensing 69 (9), 963-972, 2003
3922003
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
J Xiong, PS Thenkabail, MK Gumma, P Teluguntla, J Poehnelt, ...
ISPRS Journal of Photogrammetry and Remote Sensing 126, 225-244, 2017
3492017
Evaluating the potential for measuring river discharge from space
DM Bjerklie, SL Dingman, CJ Vorosmarty, CH Bolster, RG Congalton
Journal of hydrology 278 (1-4), 17-38, 2003
3352003
A practical look at the sources of confusion in error matrix generation
RG Congalton, K Green
Photogrammetric engineering and remote sensing 59 (5), 641-644, 1993
3061993
Global land cover mapping: A review and uncertainty analysis
RG Congalton, J Gu, K Yadav, P Thenkabail, M Ozdogan
Remote Sensing 6 (12), 12070-12093, 2014
2922014
Using spatial autocorrelation analysis to explore the errors in maps generated from remotely sensed data
RG Congalton
Photogrammetric engineering and remote sensing, 1988
2851988
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
J Xiong, PS Thenkabail, JC Tilton, MK Gumma, P Teluguntla, A Oliphant, ...
Remote Sensing 9 (10), 1065, 2017
2842017
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
P Teluguntla, PS Thenkabail, A Oliphant, J Xiong, MK Gumma, ...
ISPRS Journal of Photogrammetry and Remote Sensing 144, 325-340, 2018
2452018
Effects of landscape characteristics on amphibian distribution in a forest-dominated landscape
HL Herrmann, KJ Babbitt, MJ Baber, RG Congalton
Biological Conservation 123 (2), 139-149, 2005
2262005
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