Projects

This project uses pressure instead of light to determine the position of birds during migration.

The Open Earth Engine Library (OEEL) provides free and open algorithms for Google Earth Engine users.

Remote-sensing Google Earth Engine Finished Side project Maintained

Tools and interfaces to segment porous media scans easily.

Exploring effects and errors introduced by spatial resolution changes in remote sensing applications.

Tracking the type and growth of vegetation in Vietnam.

From Impala and SNESIM: encode a k‑class n‑point pattern in k n‑bit numbers; exploring FPGA for performance and power gains.

Enhances Direct Sampling by predicting potential candidates to avoid trivial mismatches — akin to moving from naive rejection sampling to adaptive sampling.

Alternative calibration for QS/DS based on training image analysis to reduce verbatim copy without complex objective functions.

High-frequency, high-resolution time series of Gornergletscher from repeated UAV surveys; implemented the tracking algorithm.

Studying the evolution of snow and vegetation over the last 35+ years in the Alps.

A robust, efficient multiple-point statistics algorithm implemented in the G2S framework.

Multiple-point statistics Python Finished Maintained

The main output of this project is an algorithm — Narrow Distribution Selection (NDS) — to spectrally enhance remotely sensed satellite images, similar in spirit to QuickSampling.