Maryam Asgari

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Publications

Citations

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Active since

2022

Affiliations

Federal Institute of Hydrology(Current)

Koblenz University of Applied Sciences

Maryam Asgari is an author at Federal Institute of Hydrology specializing in machine learning, extreme gradient boosting, and land cover classification.

ORCID

Publications per year

2022–2023

Publications

Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types

Edvinas Rommel, Laura Giese, Katharina Fricke et al. · Remote Sensing · 2022 · 16 citations · Full text

Computing, Geoinformatics, Landscape Ecology +17

Calibration and Validation from Ground to Airborne and Satellite Level: Joint Application of Time-Synchronous Field Spectroscopy, Drone, Aircraft and Sentinel-2 Imaging

Paul Naethe, Maryam Asgari, Caspar Kneer et al. · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science · 2023 · 10 citations

Natural Sciences, Aerospace Engineering, Remote Sensing +16

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