71 - 80 of 103 results for: ESS

The use of satellite remote sensing to monitor land use and land cover, with emphasis on terrestrial changes. Topics include pre-processing data, biophysical properties of vegetation observable by satellite, accuracy assessment of maps derived from remote sensing, and methodologies to detect changes such as urbanization, deforestation, vegetation health, and wildfires.

Conditional expectation theory and projections in Hilbert spaces; parametric versus non-parametric geostatistics; Boolean, Gaussian, fractal, indicator, and annealing approaches to stochastic imaging; multiple point statistics inference and reproduction; neural net geostatistics; Bayesian methods for data integration; techniques for upscaling hydrodynamic properties. May be repeated for credit. Prerequisites: 240, advanced calculus, C++/Fortran.

Building on the Fundamentals of Geographic Information Systems course, this class delves deeper into geospatial analysis and mapping techniques. The class is heavily project-based and students are encouraged to bring their own research questions. Topics include topographic analysis, interpolation, spatial statistics, network analysis, and scripting using Python and Acrpy. All students are required to attend a weekly lab. ESS 164 or equivalent is a prerequisite.

This is a graduate level course that examines the dynamics of land use in relation to the multiple dimensions of globalization. The objective is to understand and analyze how the expansion of global trade, the emergence of new global actors, and public and private regulations affect land use changes. Beyond getting a better understanding of the dynamics of land use change, the course will enable students to better understand how to effectively influence land use change, from different vantage points: government, NGO, information broker, corporate actor. The main emphasis is on tropical regions. Lectures introduce various topics related to theories, practical cases, and evaluation tools to better understand and analyze contemporary land use dynamics. Data analyses will be conducted in the lab section, based on case studies.

Can aquaculture feed billions of people without degrading aquatic ecosystems or adversely impacting local communities? Interdisciplinary focus on aquaculture science and management, international seafood markets, historical case studies (salmon farming in Chile, tuna ranching in the Mediterranean, shrimp farming in Vietnam), current federal/state legislation. Field trip to aquaculture farm and guest lectures. By application only - instructor consent required. Contact gerhart@stanford.edu or dhklinger@stanford.edu prior to first day of class.

The goal of this seminar course is to explore current topics in marine nitrogen cycle. We will explore a variety of processes, including primary production, nitrogen fixation, nitrification, denitrification, and anaerobic ammonia oxidation, and their controls. We will use the book Nitrogen in the Marine Environment and supplement with student-led discussions of recent literature. A variety of biomes, spatial and temporal scales, and methodologies for investigation will be discussed.

Field-based training in ecologically sound agricultural practices at the Stanford Community Farm. Weekly lessons, field work, and group projects. Field trips to educational farms in the area. Topics include: soils, composting, irrigation techniques, IPM, basic plant anatomy and physiology, weeds, greenhouse management, and marketing.

In this advanced undergraduate course, students will learn about some of the key social and environmental challenges faced by cities in the developing world, and the current and potential role that urban agriculture plays in meeting (or exacerbating) those challenges. This is a service-learning course, and student teams will have the opportunity to partner with real partner organizations in a major developing world city to define and execute a project focused on urban development, and the current or potential role of urban agriculture. Service-learning projects will employ primarily the student's analytical skills such as synthesis of existing research findings, interdisciplinary experimental design, quantitative data analysis and visualization, GIS, and qualitative data collection through interviews and textual analysis. Previous coursework in the aforementioned analytical skills is preferred, but not required. Admission is by application.

A project-based course emphasizing `ways of doing' in sustainable agricultural systems based at the new Stanford Educational Farm. Students will work individually and in small groups on farm projects of their choice facilitated and guided by the Educational Farm Director. Potential projects include: orchards, compost systems, pastured poultry, beekeeping, medicinal herbs, mushroom cultivation, native plants, etc.