Inversion models of biogeochemical properties and ecosystem functions in coastal and oceanic waters. Spaceborne LiDAR and machine learning algorithms applied to climate change variability
Machine learning techniques applied to classification of aerosols types derived from passive and active spaceborne measurements. Real-time prediction of aerosol composition for improving atmospheric correction and optical inversion of biogeochemical properties in coastal and inland waters
Detection of HABs using GIS and machine learning algorithms and smartphone measurements
Science Data Segment team: Code development for L1C products using SeaDAS soffware. Mapping of optical measurements derived from satellite sensors OCI, HARP-2 and SpexOne. Geolocation algorithms for aerosol products.
Development, validation and implementation of aerosol models and L1C products for hyperspectral, polarized and multangular satellite measurements
Statistical modelization and artificial intelligence of data in natural sciences (MEDIANA). PI: Carolini Crisci and Angel Segura
Guest editor: Remote Sensing Journal, 2020
Montes, M., N. Pahlevan, D. M. Giles, et al. J.-C. Roger, P.-W. Zhai, B. Smith, R. Levy, P. J. Werdell, and A. Smirnov. 2022. "Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters." Frontiers in Remote Sensing, 3: [10.3389/frsen.2022.860816]
Montes, M. A., A. K. Vuorenkoski, B. Metzger, and B. Ramos. 2021. "Interpretation of Spectral LiDAR Backscattering off the Florida Coast." Remote Sensing, 13 (13): 2475 [10.3390/rs13132475]
Montes, M., N. Pahlevan, D. M. Giles, et al. J.-C. Roger, P.-W. Zhai, B. Smith, R. Levy, P. J. Werdell, and A. Smirnov. 2022. "Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters." Frontiers in Remote Sensing 3 [10.3389/frsen.2022.860816]
Montes, M. A., A. K. Vuorenkoski, B. Metzger, and B. Ramos. 2021. "Interpretation of Spectral LiDAR Backscattering off the Florida Coast." Remote Sensing 13 (13): 2475 [10.3390/rs13132475]