Teaching
Introduction to Earth System Science
 | Introduction to principles of systems applied to the geosphere, hydrosphere, cryosphere, atmosphere, and biosphere. Co-taught with Uma Bhatt. |
Fall 2024
Visible and Infrared Remote Sensing
 | The course covers the principles and practice of remote sensing in the visible and infrared region, including spectral signatures, radiative transfer, image analysis, and information extraction. The laboratory part provides hands-on experience with multispectral, thermal, hyperspectral, and LiDAR data sets. Practical examples are drawn from geology, hydrology, and forestry. |
Spring 2024
Big Geospatial Data
 | Analysis of large geospatial data sets and data-driven modeling for solving geoscientific problems. The class intertwines i) cloud-based processing of big vector and raster data sets from GPS surveys, models and remote sensing, and ii) predictive modeling using data science techniques such as Random Forests. |
Fall 2023
Introduction to Earth System Science
| Introduction to principles of systems applied to the geosphere, hydrosphere, cryosphere, atmosphere, and biosphere. Co-taught with Tamara Harms and Uma Bhatt. |
Fall 2023
Geoscience Applications of Remote Sensing
 | Remote sensing and its applications to geologic, environmental and physical sciences. Includes physical principles, digital image processing and hands-on project experience using satellite images for mapping and change detection. |
Spring 2023
Digital Image Processing in the Geosceinces
 | Image processing and analysis techniques to monitor and understand the Earth system. Geoscience applications to be addressed include thin-section analysis, remote sensing of geohazards and geomorphometry. Apart from lectures and demonstrations, the advantages and drawbacks of image processing techniques will be evaluated through exercises and a course project. |
Fall 2022
Visible and Infrared Remote Sensing
| The course covers the principles and practice of remote sensing in the visible and infrared region, including spectral signatures, radiative transfer, image analysis, and information extraction. The laboratory part provides hands-on experience with multispectral, thermal, hyperspectral, and LiDAR data sets. Practical examples are drawn from geology, hydrology, and forestry. |
Spring 2022
Geoscience Applications of Remote Sensing
 | Remote sensing and its applications to geologic, environmental and physical sciences. Includes physical principles, digital image processing and hands-on project experience using satellite images for mapping and change detection. |
Fall 2021
Digital Image Processing in the Geosciences
Spring 2021