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My work as a geographer and spatial data scientist has resulted in new approaches to environmental investigations, especially flood analytics with multi-modal data, including satellite images, storm simulations, land use and land cover, topographic data, and in situ measurements.

Google Scholar

Improved snow depth retrieval by integrating microwave brightness temperature and visible/infrared reflectance

Abstract The accuracy of snow depth retrieval by remote sensing depends heavily on the characteristics of the snow, and both passive microwave and visible/infrared sensors can contribute to the acquisition of this information. A method integrating these two remotely sensed data sets is presented in this study. Snow depth retrieval is performed using microwave brightness temperature at 19 and… Read more Improved snow depth retrieval by integrating microwave brightness temperature and visible/infrared reflectance

Automatic Registration of Multisensor Images Using an Integrated Spatial and Mutual Information (SMI) Metric

Abstract A new image-registration method is presented by integrating the area-based and feature-based methods. The integrated method is characterized by a novel similarity metric based on spatial and mutual information (SMI), the ant colony optimization for continuous domain (ACO), and a two-phase searching strategy. The SMI-based metric takes into account both spatial relations of detected… Read more Automatic Registration of Multisensor Images Using an Integrated Spatial and Mutual Information (SMI) Metric

A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery

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