Courses

This is a list of the some of the spatial data analysis courses offered at UC Davis in the coming quarters.

Spring 2017

ABT/LDA 150: Introduction to GIS
Lecture—3 hours; laboratory—3 hours.
Basic concepts, principles, and methods of GIS are presented. Data structures, database design, GIS data creation, GPS, and spatial analysis techniques are emphasized. Lab topics include: online data sources, aerial photography, GPS data input, suitability analysis, cartographic design, and graphic communication

ECI 16:  Spatial Data Analysis
Lecture—1 hour; laboratory—3 hours. Restricted to Civil Engineering and Biological Systems Engineering majors; non-majors accommodated on a space-available basis. Computer-aided design and geographic information systems in civil engineering practice. 

GEO 200CN: Quantitative Geography
This course provides an overview of quantitative approaches in spatial data analysis, including methods for inference, modeling, and prediction.
Contact: Sheryl-Ann Simpson

GEO 298: GIS for Human Geographers
Tuesdays and Thursdays 11:10 a.m. – 2:00 p.m. Hunt 253
This course is all about empowering graduate students to make basic maps using ESRI’s proprietary ArcGIS as well as open source tools like QGIS, R and online tools like MapBox, Carto, OpenStreetMap and GoogleMaps. This group will focus on resources for human geographers and socialscientists, so get ready to learn all about the US Census and the American FactFinder! The ungraded course is student-driven so bring projects you’re working on. In addition to beginners, this course can also serve as a fun Maptime for anyone with a GIS project they are working on.
Contact: Ofurhe Igbinedion

HYD 286-001: Advanced Topics in Remote Sensing:  I want to fly a drone for research, what kind of scientific instruments can I use?
Lecture/Discussion— Mon 2-4pm 220 Veihmeyer Hall, Lab — Mon 1-2pm 1137 PES
Discussion, assessment and data processing of a variety of sUAS (Drones) sensor platforms; Color, Multi-spectral, Hyper-spectral, Thermal, Lidar, etc… Specific focus on determining the limits and applicability of sensors to various scientific research projects.
Contact: Susan Ustin

Winter 2017

ABT/HYD 181N: Concepts and Methods in Geographic Information Systems
Data representation and analysis in geographic information systems (GIS). Creation of spatial data sets from analog and digital sources such as aerial photography and maps; data structures, data management, database design, georeferencing, georectification, surface models, analysis, and spatial data visualization.

ESM 186: Environmental Remote Sensing
Overview of satellite, airborne, and ground-based remote sensing, building on properties of electromagnetic radiation. Applications include hydrologic processes, weather and climate, ecology and land use, soils, geology, forestry, and agriculture. Computer based analysis and visualization of images and processing techniques.

GEO 298: Environmental Monitoring and Research with small Unmanned Aerial System (sUAS)
Design Envrionmental Research with sUAS: ​ ​ Read literatures on application of sUAS in the field of your research interest. Then, put together a research idea and write a proposal with detail research plan. Execute Envrionmental Monitoring with sUAS: ​ ​ Integrate drones with environmental monitoring sensors, collect data with sUAS, and process data into  products suitable for environmental research.
Details contact Grace Liu

Fall 2016

ABT/LDA 150: Introduction to GIS
Basic concepts, principles, and methods of GIS are presented. Data structures, database design, GIS data creation, GPS, and spatial analysis techniques are emphasized. Lab topics include: online data sources, aerial photography, GPS data input, suitability analysis, cartographic design, and graphic communication

ESM 185: Aerial Photo Interpretation and Remote Sensing
This course introduces basic concepts of remote sensing of the environment and provides you with the skills necessary to use remotely sensed imagery to answer questions about the world in which we live. Students will be able to 1) articulate electromagnetic spectrum and its usage in remote sensing; 2) explain the concepts of spatial, spectral, ratiometric, and temporal resolution; 3) describe the basic elements of visual image analysis and interpret aerial photographs; 4) describe and apply the spectral signatures for remote sensing applications; 5) perform fundamental digital image processing tasks, including: georectification, radiometric preprocessing, band ratioing, and image classification.

Summer 2016

EAE-10 titled From the Wright Brothers to Drones and Quadcopters
History of aircraft and its influence on society. Topics covered will include Unmanned
Aerial Vehicles, safety considerations, economics and privacy issues. Aerodynamics,
stability and control will also be introduced.

Spring 2016

ABT/LDA 150: Introduction to GIS
Basic concepts, principles, and methods of GIS are presented. Data structures, database design, GIS data creation, GPS, and spatial analysis techniques are emphasized. Lab topics include: online data sources, aerial photography, GPS data input, suitability analysis, cartographic design, and graphic communication

ECI 298B-001: Practical GIS Methods for Hydrology
Essential Geographic Information Systems (GIS) skills for gathering and analyzing spatially-explicit data,  geared toward graduate students using GIS as a tool in hydrologic and environmental sciences. Details contact Amber Manfree

GEO 200CN: Quantitative Geography
This course provides an overview of quantitative approaches in spatial data analysis, including methods for inference, modeling, and prediction. Students learn how to implement these methods in the R environment for statistical computing.

HYD 298: Remote Sensing Applications for Agriculture and Natural Resource Management
This course reviews recent recent advances and examines various applications of remote sensing techniques in agriculture and natural resource management. It explores advanced
concepts and algorithms in information extraction from both satellite and aerial remote
sensing observations. Examples cover a wide range of environmental applications of
remote sensing. Students will do a project or write a research paper. Details contact Yufang Jin

MAE 298: Unmanned Aerial Systems
Engineering of UAV systems including history, classification, kinematics and dynamics, linear design models, autopilot design, quadcopters, sensors models, state estimation, guidance, path planning, and vision-guided navigation. Intended for engineers who want to build or augment UAV platforms. Details contact Zhaodan Kong

Winter 2016

ABT 182 / HYD 182 Environmental Analysis using GIS
This course focuses on automation of spatial data processing using Python.

ESM 186: Environmental Remote Sensing
Overview of satellite, airborne, and ground-based remote sensing, building on properties of electromagnetic radiation. Applications include hydrologic processes, weather and climate, ecology and land use, soils, geology, forestry, and agriculture. Computer based analysis and visualization of images and processing techniques.

Fall 2016

ABT/LDA 150: Introduction to GIS
Basic concepts, principles, and methods of GIS are presented. Data structures, database design, GIS data creation, GPS, and spatial analysis techniques are emphasized. Lab topics include: online data sources, aerial photography, GPS data input, suitability analysis, cartographic design, and graphic communication.

ESM 185: Aerial Photo Interpretation and Remote Sensing
This course introduces basic concepts of remote sensing of the environment and provides you with the skills necessary to use remotely sensed imagery to answer questions about the world in which we live. Students will be able to 1) articulate electromagnetic spectrum and its usage in remote sensing; 2) explain the concepts of spatial, spectral, ratiometric, and temporal resolution; 3) describe the basic elements of visual image analysis and interpret aerial photographs; 4) describe and apply the spectral signatures for remote sensing applications; 5) perform fundamental digital image processing tasks, including: georectification, radiometric preprocessing, band ratioing, and image classification.

Spring 2015

GEO 290: Cartography
This course is designed to introduce students to principles of cartography through theoretical and applied approaches. Students will explore the history of cartography and various map projections, and will be exposed to methodologies and software used in creating thematic representations of the world. Topics include standards of map design, data acquisition and representation and ethics in mapping.

Winter 2015

ABT/HYD 181N: Concepts and Methods in Geographic Information Systems
Data representation and analysis in geographic information systems (GIS). Creation of spatial data sets from analog and digital sources such as aerial photography and maps; data structures, data management, database design, georeferencing, georectification, surface models, analysis, and spatial data visualization.

ESM 186: Environmental Remote Sensing
Overview of satellite, airborne, and ground-based remote sensing, building on properties of electromagnetic radiation. Applications include hydrologic processes, weather and climate, ecology and land use, soils, geology, forestry, and agriculture. Computer based analysis and visualization of images and processing techniques.

GEO 290: Satellite data analysis with Google Earth Engine
The goal of this seminar is to learn using Google Earth Engine. Earth Engine makes available the global MODIS and LANDSAT collection of satellite images, and allows you to process these on the Google computer cloud. JavaScript and/or Python are used to write scripts to analyse these data. Students will work in small teams on self-identified research projects. They will present on the research plan, progress, and results throughout the seminar. Most of the class time is spent on learning (by helping each other) how to effectively use Earth Engine.  Wednesday 5:10-6:30 PM, Instructor: Robert Hijmans.