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forest mapping toward temporally resolved reconstruction and prediction of forest-state transitions. The project will leverage Prithvi-EO to extract spectral, spatial, and temporal information from Landsat
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measurements. The participant will research and develop robust metrology methodologies to characterize mirror surface quality across multiple spatial frequency ranges using techniques such as Fizeau
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the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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into physically consistent changes in the model’s thickness distribution while respecting the constraints to the sea ice state. The methods will be evaluated in spatial CICE6 configurations and within the coupled
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(including high- and mid-spatial frequency figure errors) into optical models and assessing their impact on high-contrast and high-resolution adaptive optics systems; understanding wavefront control
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, Evaluation methods, Mixed methods research, GIS/spatial analysis, Community and/or transportation planning, and Data visualization. Point of Contact Rachel Eligibility Requirements Citizenship: U.S. Citizen
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rugged field tablets and QGIS software for ecological data entry, management, and spatial analysis. Apply field safety, endurance, and logistical practices associated with extended ecological research in