Kerry Cawse-Nicholson

Orcid: 0000-0002-0510-4066

Affiliations:
  • Rochester Institute of Technology, NY, USA


According to our database1, Kerry Cawse-Nicholson authored at least 27 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction.
CoRR, 2024

2023
Lithotype Classification in Geothemal Area by the Use of Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

European Ecostress Hub Phase 2: Thermal Infrared Remote Sensing Of Terrestrial Ecosystem Processes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Validation and Quality Assessment of the ECOSTRESS Level-2 Land Surface Temperature and Emissivity Product.
IEEE Trans. Geosci. Remote. Sens., 2022

Using ECOSTRESS to Observe and Model Diurnal Variability in Water Temperature Conditions in the San Francisco Estuary.
IEEE Trans. Geosci. Remote. Sens., 2022


2021
Evaluation of a CONUS-Wide ECOSTRESS DisALEXI Evapotranspiration Product.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Climatology of the Combined ASTER MODIS Emissivity over Land (CAMEL) Version 2.
Remote. Sens., 2021


2020
In-Flight Validation of the ECOSTRESS, Landsats 7 and 8 Thermal Infrared Spectral Channels Using the Lake Tahoe CA/NV and Salton Sea CA Automated Validation Sites.
IEEE Trans. Geosci. Remote. Sens., 2020

Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm - DisALEXI.
Int. J. Appl. Earth Obs. Geoinformation, 2020


Probabilistic Super Resolution for Mineral Spectroscopy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Intrinsic Dimensionality in Combined Visible to Thermal Infrared Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites.
Remote. Sens., 2019

2017
Multiview Marker-Free Registration of Forest Terrestrial Laser Scanner Data With Embedded Confidence Metrics.
IEEE Trans. Geosci. Remote. Sens., 2017

2016
Marker-Free Registration of Forest Terrestrial Laser Scanner Data Pairs With Embedded Confidence Metrics.
IEEE Trans. Geosci. Remote. Sens., 2016

2015
Estimation of the Intrinsic Dimension of Hyperspectral Images: Comparison of Current Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Single-Scan Stem Reconstruction Using Low-Resolution Terrestrial Laser Scanner Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2014
Extracting Structural Vegetation Components From Small-Footprint Waveform Lidar for Biomass Estimation in Savanna Ecosystems.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013
Determining the Intrinsic Dimension of a Hyperspectral Image Using Random Matrix Theory.
IEEE Trans. Image Process., 2013

The Effect of Correlation on Determining the Intrinsic Dimension of a Hyperspectral Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Evaluation of bands containing spectrally correlated noise in hyperspectral imagery.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Enhancing classification accuracy via registration of discrete return LiDAR and aerial imagery using the Levenberg-Marquardt nonlinear optimization method.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
The effect of spectrally correlated noise on noise estimation methods for hyperspectral images.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

2011
The effect of noise whitening on methods for determining the intrinsic dimension of a hyperspectral image.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2010
Using Random Matrix Theory to determine the number of endmembers in a hyperspectral image.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010


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