22 citations
- Jet Propulsion LaboratoryUS2 papers
- Adnet Systems (United States)US1 paper
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU1 paper
- Center for Astrophysics Harvard & SmithsonianUS1 paper
- Goddard Space Flight CenterUS1 paper
- Langley Research CenterUS1 paper
- Queensland University of TechnologyAU1 paper
- The Institute of Statistical MathematicsJP1 paper
- The University of TokyoJP1 paper
- Tokyo University of Information SciencesJP1 paper
- University at Albany, State University of New YorkUS1 paper
- University of New EnglandAU1 paper
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cs.LG2025★ 1 cited
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 Munashinge, Hugo Lee +4
This work demonstrates the possibilities for improving wildfire and air quality management in the western United States by leveraging the unprecedented hourly data from NASA's TEMP…
cs.LG2025
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
We present a self-supervised machine learning framework for detecting and mapping the severity and speciation of harmful algal blooms (HABs) using multi-sensor satellite data. By f…