Nicholas LaHaye

According to our database, Nicholas LaHaye authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Harnessing Self-Supervised Deep Learning and Geostationary Remote Sensing for Advancing Wildfire and Associated Air Quality Monitoring: Improved Smoke and Fire Front Masking using GOES and TEMPO Radiance Data.

Nicholas LaHaye, Thilanka Munasinghe, Hugo Lee, Xiaohua Pan, Gonzalo Gonzalez Abad, Hazem Mahmoud, Jennifer C. Wei

CoRR, October, 2025

The View From Space: Navigating Instrumentation Differences with EOFMs.

Ryan P. Demilt, Nicholas LaHaye, Karis Tenneson

CoRR, October, 2025

Fusing Multi- and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring with Self-Supervised and Hierarchical Deep Learning.

Nicholas LaHaye, Kelly M. Luis, Michelle M. Gierach

CoRR, October, 2025

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke.

Yuzhou Chen, Nicholas LaHaye, Jae Won Choi, Zhiwei Zhen, Philip E. Davis, Huikyo Lee, Manish Parashar, Yulia R. Gel, Andrei Zagvozdkin, Michael J. Garay, Olga V. Kalashnikova, Anastasija Easley, Kyongsik Yun, Erik Linstead

Dataset, May, 2025

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke.

Yuzhou Chen, Nicholas LaHaye, Jae Won Choi, Zhiwei Zhen, Philip E. Davis, Huikyo Lee, Manish Parashar, Yulia R. Gel, Andrei Zagvozdkin, Michael J. Garay, Olga V. Kalashnikova, Anastasija Easley, Kyongsik Yun, Erik Linstead

Dataset, May, 2025

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke.

Yuzhou Chen, Nicholas LaHaye, Jae Won Choi, Zhiwei Zhen, Philip E. Davis, Huikyo Lee, Manish Parashar, Yulia R. Gel, Andrei Zagvozdkin, Michael J. Garay, Olga V. Kalashnikova, Anastasija Easley, Kyongsik Yun, Erik Linstead

Dataset, May, 2025

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke.

Yuzhou Chen, Nicholas LaHaye, Jae Won Choi, Zhiwei Zhen, Philip E. Davis, Huikyo Lee, Manish Parashar, Yulia R. Gel, Andrei Zagvozdkin

Dataset, March, 2025

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets.

Nicholas LaHaye, Anistasija Easley, Kyongsik Yun, Huikyo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova

CoRR, January, 2025

2024

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke.

Yuzhou Chen, Nicholas LaHaye, Jae Won Choi, Zhiwei Zhen, Philip E. Davis, Huikyo Lee, Manish Parashar, Yulia R. Gel

Dataset, June, 2024

2021

A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking.

Nicholas LaHaye, Michael J. Garay, Brian D. Bue, Hesham M. El-Askary, Erik Linstead

Remote. Sens., 2021

Assessing the Vertical Displacement of the Grand Ethiopian Renaissance Dam during Its Filling Using DInSAR Technology and Its Potential Acute Consequences on the Downstream Countries.

Hesham M. El-Askary, Amr Fawzy, Rejoice Thomas, Wenzhao Li, Nicholas LaHaye, Erik Linstead, Thomas C. Piechota, Daniele C. Struppa, Mohamed Abdelaty Sayed

Remote. Sens., 2021

2020

Learning in the machine: To share or not to share?

Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi

Neural Networks, 2020

2019

Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning.

Nicholas LaHaye, Jordan Ott, Michael J. Garay, Hesham Mohamed El-Askary, Erik Linstead

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019