Geospatial Data Analysis

Automated data acquisition and geospatial data ingestion and database updating. Spatiotemporal spectral data representations. Systems and architectures for storing, handling, managing, processing, and disseminating big geospatial data and products in cloud computing infrastructures. Data visualization and dimensionality reduction strategies. Statistical analysis and data fusion and harmonization. Online processing and High-Performance Computing Systems for Earth Observation Data. Data and time series analysis to detect changes, objects and features. Data analysis with applications in precision agriculture, water quality assessment, automatic detection of changes in the urban, natural and marine environment. Deep learning methods with convolutional and recurrent networks, various attention mechanisms and transformer, teacher-student, encoder-decoder architectures, with applications in semantic segmentation, object detection and tracking.