Remote Sensing for Watershed Sciences
Remote sensing is a useful tool for mapping and monitoring processes and features important for watershed analysis. We use a combination of satellite imagery and unmanned aerial vehicles (UAVs) to map land cover, stream channels, topography and evapotranspiration for use in watershed and hydrological models.
Runoff and sediment budgets in Los Laureles Canyon, Tijuana
Land Use Change, Crop water use and Water Resources
Water scarcity both drives and is impacted by land cover change. This series of projects aims to map crop water use and land cover change in irrigated agricultural regions, including applications in India, Southern Africa, California and on the US-Mexico border, and to document the major drivers of those changes through mixed methods approaches that integrate remote sensing for automated mapping of crop water use (evapotranspiration) and land cover, quantitative survey data, and qualitative interviews. Applications in California and on the US-Mexico border are supported in part through the NOAA CREST program Leave geography site. Students involved: Yelena Granovskaya, Joel Kramer, Gabriela Morales, Alex Messina.
- GEOG 591: Remote Sensing of Environment
- GEOG 591L: Remote Sensing of Environment Laboratory
- GEOG 592: Intermediate Remote Sensing of Environment
- GEOG 592L: Intermediate Remote Sensing of Environment Laboratory
Acquiring and interpreting remotely sensed data of environment. Electromagnetic radiation processes, aerial and satellite imaging systems and imagery. Geographic analysis of selected human, terrestrial, and marine processes and resources.
Practical exercises, introductory processing, visual interpretation and mapping of remotely sensed imagery.
Digital image processing. Thermal infrared and microwave imaging systems and image interpretation principles. Geographic analysis of selected human, terrestrial, oceanographic, and atmospheric processes and resources.
Digital image processing, visual interpretation, mapping of thermal infrared, and microwave imagery.