Abushakra, Feras;2023: Miniaturized ultra-wideband uav radars and antennas for remote sensing applications. PhD. dissertation, Department of Electrical and Computer Engineering, University of Alabama at Tuscaloosa, https://ir-api.ua.edu/api/core/bitstreams/df61abe0-d857-460e-9791-a312595db7bf/content.
Bachhu, Ankith; Veljko Petković, andErnesto Hugo Berbery,2023: Assessing hydrologic cycle dynamics using high-resolution satellite imagery. Intern report, Cooperative Institute for Satellite Earth System Studies (CISESS), Earth System Science Interdisciplinary Center (ESSIC), University of Maryland at College Park, Digital Repos. Univ. Md., https://doi.org/10.13016/dspace/ojel-lbvv.
Frame, Jonathan; 2022:Deep learning for operational streamflow forecasts: A long short-term memory network rainfall-runoff module for the National Water Model. PhD. dissertation, Department of Geological Sciences, University of Alabama at Tuscaloosa, https://ir-api.ua.edu/api/core/bitstreams/635f462a-37b7-4651-80c4-550b95a83cc4/content.
Glenn, Equisha; 2021:On a new framework for detecting, classifying, and forecasting floods for large-scale flood risk analysis. PhD. dissertation, Civil and Environmental Engineering, City University of New York, ProQuest Dissertations Publishing, https://www.proquest.com/docview/2624634148.
Herrera Estrella, Eder I.;2023: Uncertainties in retrieval of remote sensing reflectance from ocean color satellite observations. PhD. dissertation, Earth and Environmental Sciences, City University of New York, ProQuest Dissertations Publishing, https://www.proquest.com/dissertations-theses/uncertainties-retrieval-remote-sensing/docview/2860467502/se-2.
Kilpys, Justinas; Huan Meng, Yalei You, Jun Dong andRalph Ferraro, 2020:Atsitiktinių medžių (random forest) klasifikatoriaus taikymas snygio nustatymui iš palydovinių ATMS duomenų [Application of a random forest algorithm to detect snowfall from ATMS measurements]. Visiting scholar paper, Vilnius University in Lithuania, Vilnius Univ. Proc., 100, 45, https://doi.org/10.15388/Klimatokaita.2020.37.
Kolpuke, Shriniwas; 2023: Development and optimization of airborne fmcw radars for high-resolution snow depth measurements. PhD. Dissertation, Department of Aerospace Engineering and Mechanics, University of Alabama at Tuscaloosa, https://ir.ua.edu/items/21ed9016-e1be-48d8-9b2c-894621763aa2.
Vanderburgh, Leo Xavier; 2023: Optimization, implementation, and fabrication of a balun for ice-sounding radar. M.S. thesis, Department of Electrical and Computer Engineering, University of Alabama at Tuscaloosa, https://www.proquest.com/docview/2828104335?pq-origsite=gscholar&fromopenview=true&sourcetype=Dissertations%20&%20Theses.
Wawrzyniak, Tyler; 2020: The limb-correction of ATMS brightness temperature and its applications to analyzing tropical cyclone intensity changes. M.S. thesis, Department of Atmospheric and Oceanic Science, University of Maryland at College Park. (https://aosc.umd.edu/sites/default/files/dissertations-theses/TylerWawrzyniak_Masters_Scholarly_Paper_Final.pdf).